# Best Statistical Analysis Software *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)* Statistical analysis software products are specialized programs designed to allow users to perform complex statistical analysis. These products typically provide tools for the organization, interpretation, and presentation of selected data sets. Statistical solutions typically package these data management capabilities with features specific to statistical analysis. Statistical analysis capabilities refer to capabilities that support analysis methodologies such as regression analysis, predictive analytics, and statistical modelling, among many others. The [bes statistical analysis software](https://learn.g2.com/best-statistical-analysis-software) is typically used by data scientists and mathematicians, but can provide industry-specific features. These may be features tailored to scientific research, cost modelling, or health science; other tools can perform specific statistical analysis across industry or use case. Some products overlap within both statistical analysis software and [predictive analytics software](https://www.g2.com/categories/predictive-analytics) or [business intelligence platforms](https://www.g2.com/categories/business-intelligence-platforms). However, most tools in those categories will not provide the same level of niche statistical analysis capabilities as statistical software. To qualify for inclusion in the Statistical Analysis category, a product must: - Package statistical analysis capabilities, equations, and models - Facilitate data importing, preparation and modelling - Perform complex statistical analysis ## Top Statistical Analysis Software at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) | 4.3/5.0 (758 reviews) | Clinical trial analytics with low-code automation | "[Powerful & Transforming Data into Decisions—Effortlessly and Intelligently.](https://www.g2.com/survey_responses/sas-viya-review-12682824)" | | 2 | [IBM SPSS Statistics](https://www.g2.com/products/ibm-spss-statistics/reviews) | 4.2/5.0 (893 reviews) | Survey data analysis without coding knowledge | "[Efficient, Reliable Statistical Analysis with an Approachable UI in IBM SPSS Statistics](https://www.g2.com/survey_responses/ibm-spss-statistics-review-12829044)" | | 3 | [Minitab Statistical Software](https://www.g2.com/products/minitab-statistical-software/reviews) | 4.6/5.0 (219 reviews) | DOE and process capability in manufacturing | "[Audit-Ready Trend Analysis and Clear Statistical Outputs for APQR](https://www.g2.com/survey_responses/minitab-statistical-software-review-12736010)" | | 4 | [Base SAS](https://www.g2.com/products/base-sas/reviews) | 4.4/5.0 (144 reviews) | Legacy SAS code execution for regulated submissions | "[Perfect for Independent Consultants with Ease of Use](https://www.g2.com/survey_responses/base-sas-review-12714855)" | | 5 | [Posit Team](https://www.g2.com/products/posit-team/reviews) | 4.5/5.0 (565 reviews) | Reproducible R and Python data science workflows | "[Posit Team Makes Biostatistical Work Reproducible, Collaborative, and Secure](https://www.g2.com/survey_responses/posit-team-review-12977958)" | | 6 | [Orange](https://www.g2.com/products/orange/reviews) | 4.2/5.0 (29 reviews) | Visual ML workflows without coding | "[My Honest Thoughts on Orange](https://www.g2.com/survey_responses/orange-review-12460249)" | | 7 | [Qualtrics Market Research](https://www.g2.com/products/qualtrics-market-research/reviews) | 4.4/5.0 (2,912 reviews) | Survey-to-insight workflows with integrated distribution and dashboards | "[Structured Feedback Insights with an Intuitive Survey Builder](https://www.g2.com/survey_responses/qualtrics-market-research-review-12999170)" | | 8 | [OriginPro](https://www.g2.com/products/originpro/reviews) | 4.7/5.0 (138 reviews) | Publication-ready graphing with spectroscopic curve fitting | "[OriginPro tool for batch processing and equation solver](https://www.g2.com/survey_responses/originpro-review-12202999)" | | 9 | [Statista](https://www.g2.com/products/statista/reviews) | 4.4/5.0 (30 reviews) | Market intelligence synthesis across international industries | "[Excellent Resource for Advertising Insights](https://www.g2.com/survey_responses/statista-review-11912158)" | | 10 | [JMP](https://www.g2.com/products/jmp/reviews) | 4.5/5.0 (206 reviews) | Interactive DOE and visual exploratory analysis | "[JMP Software: Good Tool, Few Downsides](https://www.g2.com/survey_responses/jmp-review-11188568)" | ## How Many Statistical Analysis Software Products Does G2 Track? **Total Products under this Category:** 86 ### Category Stats (Jun 2026) - **Average Rating**: 4.25/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: KNIME (+1.04%) - Among all products in this category, KNIME recorded the largest rating increase compared to last month *Last updated: June 24, 2026* ## How Does G2 Rank Statistical Analysis Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 7,900+ Authentic Reviews - 86+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which Statistical Analysis Software Is Best for Your Use Case? - **Leader:** [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - **Highest Performer:** [GraphPad Prism](https://www.g2.com/products/graphpad-prism/reviews) - **Easiest to Use:** [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - **Top Trending:** [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - **Best Free Software:** [IBM SPSS Statistics](https://www.g2.com/products/ibm-spss-statistics/reviews) --- **Sponsored** ### SAS Viya SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1789&secure%5Bdisplayable_resource_id%5D=1789&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1789&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1327283&secure%5Bresource_id%5D=1789&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fstatistical-analysis&secure%5Btoken%5D=c601201acd2d679c5862f96fbb51568145c465989dda310f45a40d826789103d&secure%5Burl%5D=https%3A%2F%2Fwww.sas.com%2Fgms%2Fredirect.jsp%3Fdetail%3DPLN73455_275629423&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated Statistical Analysis Software Products in 2026? ### 1. [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control. **Average Rating:** 4.3/5.0 **Total Reviews:** 758 **How Do G2 Users Rate SAS Viya?** - **Quality Control:** 8.9/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 8.8/10) - **Survival Analysis:** 8.9/10 (Category avg: 8.4/10) - **Data Sampling:** 8.9/10 (Category avg: 8.6/10) **Who Is the Company Behind SAS Viya?** - **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2) - **Company Website:** https://www.sas.com/ - **Year Founded:** 1976 - **HQ Location:** Cary, NC - **Twitter:** @SASsoftware (60,863 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,638 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Student, Statistical Programmer - **Top Industries:** Pharmaceuticals, Banking - **Company Size:** 33% Enterprise, 33% Small-Business #### What Are SAS Viya's Pros and Cons? **Pros:** - Ease of Use (234 reviews) - Features (175 reviews) - Analytics (149 reviews) - Data Analysis (125 reviews) - Data Visualization (116 reviews) **Cons:** - Learning Difficulty (105 reviews) - Complexity (103 reviews) - Learning Curve (99 reviews) - Difficult Learning (82 reviews) - Expensive (78 reviews) ### What Do G2 Reviewers Say About SAS Viya? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of SAS Viya, simplifying data visualization and decision-making processes. - Users value the **advanced analytical capabilities** of SAS Viya, enabling real-time insights and effective decision-making across industries. - Users value the **sophisticated analytical methods** in SAS Viya, enhancing decision-making through real-time deployments and ease of use. - Users appreciate the **comprehensive data analysis capabilities** of SAS Viya, enhancing insights and decision-making for business operations. - Users value the **powerful data visualization** tools of SAS Viya, enhancing insights and strategic decision-making across the organization. **Cons:** - Users find the **learning difficulty** of SAS Viya challenging, especially for those unfamiliar with SAS or cloud systems. - Users find the **complexity of setup and user management** challenging, especially for smaller IT teams and non-technical users. - Users find the **learning curve challenging** , especially for non-technical users navigating features and setting up the platform. - Users find the **difficult learning curve** of SAS Viya challenging, especially for beginners and non-technical users. - Users find the **licensing cost of SAS Viya** to be prohibitively high, impacting overall affordability and decision-making. #### What Are Recent G2 Reviews of SAS Viya? **"[Powerful & Transforming Data into Decisions—Effortlessly and Intelligently.](https://www.g2.com/survey_responses/sas-viya-review-12682824)"** **Rating:** 4.5/5.0 stars *— Venkatesh D.* [Read full review](https://www.g2.com/survey_responses/sas-viya-review-12682824) --- **"[SAS Viya is a Powerful Analytics](https://www.g2.com/survey_responses/sas-viya-review-11702846)"** **Rating:** 5.0/5.0 stars *— Deependra G.* [Read full review](https://www.g2.com/survey_responses/sas-viya-review-11702846) --- #### What Are G2 Users Discussing About SAS Viya? - [What is SAS Visual Data Mining and Machine Learning used for?](https://www.g2.com/discussions/what-is-sas-visual-data-mining-and-machine-learning-used-for) - 2 comments ### 2. [IBM SPSS Statistics](https://www.g2.com/products/ibm-spss-statistics/reviews) IBM SPSS Statistics is an end-to-end statistical solution that simplifies advanced statistical analysis across industries for users of any statistical expertise. It offers comprehensive resources, expert support, and proven reliability to transform complex data into impactful decisions IBM SPSS Statistics recent version 32 release comes up with powerful new features such as AI Output Assistant, Mediation Analysis, Curated Help Designer and many advanced algorithms. IBM SPSS Statistics • offers an easy to use drag and drop interface along with AI Output Assistant to interpret complex statistical output in easy language. • simplifies complex data analysis using advanced statistical techniques that performs data preparation and management, to analysis and reporting. • performs predictive analysis using advanced forecasting procedures to uncover patterns and predict future trends. • creates compelling visual representations to identify trends, derive accurate conclusions and deliver graphs and presentation-ready reports Explore how both individuals and organizations spanning across Industries can simply complex statistical test through an easy to use, accurate ,reliable and secure solution. Use Cases 1. Market Research - Statistical procedures highlighting how to do market research with IBM SPSS 2. Client Acquisition – Emphasizes on how can organizations can acquire more clients and understand consumer behavior 3. Forecasting – Analyze historical sales data, evaluate key trends, predict outcomes relevant to inventory planning 4. Healthcare - Enabling healthcare organizations to improve patient outcomes 5. Government - Empowering Government institutions to take smarter policy decisions 6. Supply Chain - Utilize Statistical Algorithms to make data-driven decisions across procurement, inventory, logistics, and demand planning. Visit here to see what's new in v32 - https://www.ibm.com/products/spss-statistics/whats-new **Average Rating:** 4.2/5.0 **Total Reviews:** 893 **How Do G2 Users Rate IBM SPSS Statistics?** - **Quality Control:** 8.5/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 8.0/10 (Category avg: 8.8/10) - **Survival Analysis:** 8.4/10 (Category avg: 8.4/10) - **Data Sampling:** 8.7/10 (Category avg: 8.6/10) **Who Is the Company Behind IBM SPSS Statistics?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Company Website:** https://www.ibm.com - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Research Assistant, Assistant Professor - **Top Industries:** Higher Education, Research - **Company Size:** 42% Enterprise, 30% Mid-Market #### What Are IBM SPSS Statistics's Pros and Cons? **Pros:** - Ease of Use (25 reviews) - Statistical Analysis (17 reviews) - Data Management (13 reviews) - Analysis Capabilities (12 reviews) - User Interface (10 reviews) **Cons:** - Expensive (13 reviews) - Learning Curve (9 reviews) - Outdated Interface (7 reviews) - Expensive Licensing (6 reviews) - Large Dataset Handling (6 reviews) ### What Do G2 Reviewers Say About IBM SPSS Statistics? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** in SPSS, finding its interface straightforward and efficient for complex analyses. - Users appreciate the **ease of use** of IBM SPSS Statistics, finding complex statistical analysis straightforward and efficient. - Users value the **robust data management** capabilities of IBM SPSS Statistics, enabling accurate handling of complex datasets effortlessly. - Users value IBM SPSS Statistics for its **straightforward analysis capabilities** , making complex data easy to understand and present. - Users appreciate the **intuitive and straightforward user interface** of SPSS Statistics for complex statistical analysis. **Cons:** - Users are frustrated by the **high cost** of IBM SPSS Statistics, which can be burdensome for smaller teams. - Users find the **learning curve steep** , especially for beginners, complicating their overall experience with SPSS Statistics. - Users find the **outdated interface** of SPSS unappealing and less enjoyable compared to more modern software solutions. - Users criticize the **expensive licensing** costs of IBM SPSS Statistics, making it unaffordable for smaller teams and students. - Users report frustrating **performance issues with large datasets** , noting slowness and crashes during data analysis tasks. #### What Are Recent G2 Reviews of IBM SPSS Statistics? **"[Efficient, Reliable Statistical Analysis with an Approachable UI in IBM SPSS Statistics](https://www.g2.com/survey_responses/ibm-spss-statistics-review-12829044)"** **Rating:** 4.0/5.0 stars *— Arkajit D.* [Read full review](https://www.g2.com/survey_responses/ibm-spss-statistics-review-12829044) --- **"[Powerful, User-Friendly Platform for Advanced Data Analysis and Reporting](https://www.g2.com/survey_responses/ibm-spss-statistics-review-12803842)"** **Rating:** 4.5/5.0 stars *— Konjengbam M.* [Read full review](https://www.g2.com/survey_responses/ibm-spss-statistics-review-12803842) --- #### What Are G2 Users Discussing About IBM SPSS Statistics? - [What is IBM SPSS Statistics used for?](https://www.g2.com/discussions/ibm-spss-statistics-what-is-ibm-spss-statistics-used-for) - 1 comment - [What are the features of statistical software?](https://www.g2.com/discussions/ibm-spss-statistics-what-are-the-features-of-statistical-software) - 1 comment - [What are the features of SPSS?](https://www.g2.com/discussions/what-are-the-features-of-spss) - 1 comment - [What statistical analysis is included in SPSS?](https://www.g2.com/discussions/what-statistical-analysis-is-included-in-spss) - 2 comments - [What is IBM SPSS Statistics used for?](https://www.g2.com/discussions/what-is-ibm-spss-statistics-used-for) - 1 comment, 1 upvote ### 3. [Minitab Statistical Software](https://www.g2.com/products/minitab-statistical-software/reviews) Minitab Statistical Software is a comprehensive data analysis and statistical solution designed to assist users in exploring data, identifying trends, and making informed, data-driven decisions. This software caters to a diverse audience, ranging from beginners to seasoned analysts, by combining powerful statistical methods with an intuitive interface. This design approach simplifies complex analyses while ensuring depth and accuracy are not compromised. The capabilities of Minitab are extensive, encompassing a variety of statistical techniques such as descriptive statistics, hypothesis testing, regression analysis, ANOVA, time series analysis, design of experiments (DOE), reliability analysis, and predictive analytics. The software's guided workflows and Assistant feature are particularly beneficial, as they help users select appropriate tools, interpret results effectively, and communicate findings in a clear manner. This accessibility makes advanced analytics feasible for users across different skill levels, promoting a culture of data-driven decision-making within organizations. Minitab is available in both desktop and cloud-based versions, providing users with the flexibility to work from various locations while ensuring secure access to their data and analyses. The cloud version enhances collaboration among teams by allowing them to share projects and standardize analyses without the need for local installation. This feature is particularly advantageous for organizations with remote teams or those looking to streamline their analytical processes. The software also includes built-in data preparation tools that facilitate the cleaning and organization of data, which is crucial for accurate analysis. Furthermore, Minitab seamlessly integrates with other Minitab solutions and supports quality improvement methodologies such as Six Sigma. This integration helps organizations enhance their processes, reduce variation, and achieve measurable business outcomes. By providing a robust suite of tools and features, Minitab Statistical Software stands out as a valuable resource for organizations aiming to leverage data for strategic advantage. **Average Rating:** 4.6/5.0 **Total Reviews:** 219 **How Do G2 Users Rate Minitab Statistical Software?** - **Quality Control:** 8.2/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.8/10) - **Survival Analysis:** 8.3/10 (Category avg: 8.4/10) - **Data Sampling:** 8.4/10 (Category avg: 8.6/10) **Who Is the Company Behind Minitab Statistical Software?** - **Seller:** [Minitab](https://www.g2.com/sellers/minitab-14ca02fe-fdeb-44c4-b0db-904058d0221b) - **Company Website:** https://www.minitab.com - **Year Founded:** 1972 - **HQ Location:** State College, Pennsylvania, United States - **Twitter:** @Minitab (5,017 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/39142/ (717 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Quality Manager - **Top Industries:** Automotive, Manufacturing - **Company Size:** 47% Enterprise, 32% Mid-Market #### What Are Minitab Statistical Software's Pros and Cons? **Pros:** - Ease of Use (63 reviews) - Data Analysis (54 reviews) - Statistical Analysis (39 reviews) - Analysis (32 reviews) - Analysis Capabilities (30 reviews) **Cons:** - Expensive (23 reviews) - Learning Curve (22 reviews) - Not User-Friendly (14 reviews) - Complexity (13 reviews) - Limited Features (11 reviews) ### What Do G2 Reviewers Say About Minitab Statistical Software? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Minitab, finding it straightforward for analyzing and interpreting data effectively. - Users appreciate the **ease of data analysis** with Minitab, enjoying quick insights and clear visualizations. - Users appreciate the **ease of use** and clear documentation of Minitab for effective statistical analysis. - Users love Minitab for its **ability to support data-driven decisions** and enhance quality analysis in manufacturing. - Users value the **robust analysis capabilities** of Minitab, which simplify complex statistical tasks and enhance understanding. **Cons:** - Users find Minitab's licensing **expensive** , especially compared to alternative software that offers more capabilities at lower costs. - Users struggle with a **challenging learning curve** due to excessive options and a lack of user-friendly design. - Users find Minitab to be **not user-friendly** , with excessive options and confusing menus complicating simple tasks. - Users often face **complexity issues** with Minitab, struggling with too many options and cumbersome data manipulation. - Users find Minitab's **limited features** inadequate for advanced analytics, especially for rare events and integration with other tools. #### What Are Recent G2 Reviews of Minitab Statistical Software? **"[Audit-Ready Trend Analysis and Clear Statistical Outputs for APQR](https://www.g2.com/survey_responses/minitab-statistical-software-review-12736010)"** **Rating:** 4.0/5.0 stars *— Ajay K.* [Read full review](https://www.g2.com/survey_responses/minitab-statistical-software-review-12736010) --- **"[Versatile and User-Friendly, Needs Visual Consistency](https://www.g2.com/survey_responses/minitab-statistical-software-review-12629312)"** **Rating:** 4.5/5.0 stars *— David S.* [Read full review](https://www.g2.com/survey_responses/minitab-statistical-software-review-12629312) --- #### What Are G2 Users Discussing About Minitab Statistical Software? - [What improvements would you suggest for Minitab to better meet your data analysis needs?](https://www.g2.com/discussions/what-improvements-would-you-suggest-for-minitab-to-better-meet-your-data-analysis-needs) - [What is Minitab Statistical Software used for?](https://www.g2.com/discussions/what-is-minitab-statistical-software-used-for) - 1 comment - [Is Minitab free for students?](https://www.g2.com/discussions/minitab-statistical-software-is-minitab-free-for-students) - 2 comments - [Is Minitab free for students?](https://www.g2.com/discussions/is-minitab-free-for-students) - [What Minitab 19?](https://www.g2.com/discussions/minitab-statistical-software-what-minitab-19) ### 4. [Base SAS](https://www.g2.com/products/base-sas/reviews) Base SAS is a comprehensive software suite that provides a flexible and extensible fourth-generation programming language (4GL) designed for data access, transformation, analysis, and reporting. It serves as the foundation of the SAS System, enabling users to manage and analyze data efficiently across various platforms. With its intuitive syntax and extensive library of prewritten procedures, Base SAS simplifies complex data tasks, making it an essential tool for data professionals. Key Features and Functionality: - Intuitive 4GL Programming Language: Offers an easy-to-learn syntax with hundreds of language elements and functions, supporting tasks from data extraction and cleansing to reporting and information delivery. - Rich Library of Integrated Procedures: Provides prewritten procedures for data manipulation, management, information storage, retrieval, and report writing, enhancing productivity by reducing the need for extensive coding. - Powerful Data Analysis Tools: Capable of performing a wide range of analyses, from simple descriptive statistics to advanced data correlation and distribution analysis. - Cross-Platform Support: Runs on all major computing platforms, allowing seamless integration into any computing environment and ensuring code portability across different systems. - Web-Based Interface: Includes SAS Studio, a web-based developer interface that enables access to data files, libraries, and existing programs from any device with a web browser, facilitating coding and data management tasks. Primary Value and Solutions Provided: Base SAS significantly reduces programming and maintenance time by offering an intuitive programming language and a comprehensive set of tools for data management and analysis. It enables organizations to integrate data across diverse environments, ensuring a unified view of information. The software simplifies the creation and distribution of visually appealing reports in various formats, including Microsoft Excel, PowerPoint, PDF, and HTML, catering to the preferred platforms of decision-makers. By providing a robust and scalable solution, Base SAS addresses the challenges of complex data manipulation and reporting, empowering users to derive meaningful insights and make informed decisions. **Average Rating:** 4.4/5.0 **Total Reviews:** 144 **How Do G2 Users Rate Base SAS?** - **Quality Control:** 9.3/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.8/10) - **Survival Analysis:** 9.2/10 (Category avg: 8.4/10) - **Data Sampling:** 9.0/10 (Category avg: 8.6/10) **Who Is the Company Behind Base SAS?** - **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2) - **Year Founded:** 1976 - **HQ Location:** Cary, NC - **Twitter:** @SASsoftware (60,863 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,638 employees on LinkedIn®) - **Phone:** 1-800-727-0025 **Who Uses This Product?** - **Top Industries:** Hospital & Health Care, Banking - **Company Size:** 48% Enterprise, 28% Small-Business #### What Are Base SAS's Pros and Cons? **Pros:** - Ease of Use (16 reviews) - Coding Simplification (12 reviews) - Learning (8 reviews) - Data Management (7 reviews) - Performance Efficiency (6 reviews) **Cons:** - Complexity (5 reviews) - Poor Visualization (5 reviews) - Slow Performance (5 reviews) - Learning Difficulty (4 reviews) - Not User-Friendly (3 reviews) ### What Do G2 Reviewers Say About Base SAS? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Base SAS, finding it intuitive for data manipulation and coding. - Users appreciate the **coding simplification** in Base SAS, noting stability and consistency over time. - Users find the **learning experience excellent** with Base SAS, highlighting its user-friendly interface and effective data management. - Users value the **strong capabilities for data management** in Base SAS, enabling efficient manipulation and analysis of large datasets. - Users appreciate the **performance efficiency** of Base SAS, as it reliably manages and analyzes large datasets. **Cons:** - Users find the **complexity of setup and syntax** in Base SAS challenging, especially for newcomers and advanced tasks. - Users struggle with **poor visualization** in Base SAS, finding it challenging to generate effective graphs. - Users often face **slow performance** with Base SAS, making iteration and testing more challenging with large datasets. - Users find Base SAS has a **steep learning curve** , requiring significant research and prior knowledge for effective use. - Users find Base SAS **not user-friendly** , requiring research for basic tasks and posing challenges for beginners. #### What Are Recent G2 Reviews of Base SAS? **"[Facilitates Seamless Data Integration, Ideal for Analytics](https://www.g2.com/survey_responses/base-sas-review-12714516)"** **Rating:** 4.5/5.0 stars *— Flint C.* [Read full review](https://www.g2.com/survey_responses/base-sas-review-12714516) --- **"[Perfect for Independent Consultants with Ease of Use](https://www.g2.com/survey_responses/base-sas-review-12714855)"** **Rating:** 5.0/5.0 stars *— Lisa M.* [Read full review](https://www.g2.com/survey_responses/base-sas-review-12714855) --- #### What Are G2 Users Discussing About Base SAS? - [What is Base SAS used for?](https://www.g2.com/discussions/base-sas-what-is-base-sas-used-for) - 1 comment - [What is the difference between SAS and SAS Enterprise Guide?](https://www.g2.com/discussions/what-is-the-difference-between-sas-and-sas-enterprise-guide) - 2 comments, 1 upvote - [Who uses SAS software?](https://www.g2.com/discussions/who-uses-sas-software) - 2 comments - [What is SAS platform?](https://www.g2.com/discussions/what-is-sas-platform) - 1 comment - [What is Base SAS used for?](https://www.g2.com/discussions/what-is-base-sas-used-for) - 1 comment ### 5. [Posit Team](https://www.g2.com/products/posit-team/reviews) Posit is a Public Benefit Corporation building open-source software and an enterprise data science platform. We created the RStudio IDE, Shiny, Positron, and Quarto — tools used by millions of data scientists, machine learning engineers, and researchers worldwide, including teams at 25% of the Fortune Global 100. Our commercial products help organizations put those tools into production: Posit Workbench provides centralized development environments supporting Positron, RStudio, VS Code, and Jupyter; Posit Connect handles publishing and deployment for Shiny, AI applications, Streamlit, Dash, FastAPI, Flask, Bokeh, and more; and Posit Package Manager provides security-compliant package management for R and Python. **Average Rating:** 4.5/5.0 **Total Reviews:** 565 **How Do G2 Users Rate Posit Team?** - **Quality Control:** 8.7/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.8/10) - **Survival Analysis:** 8.9/10 (Category avg: 8.4/10) - **Data Sampling:** 9.2/10 (Category avg: 8.6/10) **Who Is the Company Behind Posit Team?** - **Seller:** [Posit](https://www.g2.com/sellers/posit) - **Year Founded:** 2009 - **HQ Location:** Boston, US - **Twitter:** @posit_pbc (120,874 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1978648/ (449 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Research Assistant, Graduate Research Assistant - **Top Industries:** Higher Education, Information Technology and Services - **Company Size:** 48% Enterprise, 27% Mid-Market #### What Are Posit Team's Pros and Cons? **Pros:** - Ease of Use (13 reviews) - Features (9 reviews) - Open Source (7 reviews) - Customer Support (5 reviews) - Easy Integrations (5 reviews) **Cons:** - Slow Performance (7 reviews) - Learning Curve (4 reviews) - Performance Issues (4 reviews) - Steep Learning Curve (4 reviews) - Lagging Performance (3 reviews) ### What Do G2 Reviewers Say About Posit Team? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Posit Team, facilitating smooth workflows and effortless exploration of data. - Users value Posit's **cutting-edge features** and excellent documentation, fostering confidence and efficiency in their workflows. - Users value Posit's **commitment to open source software** , enhancing collaboration and accessibility in the community. - Users praise the **exceptional customer support** of Posit Team, ensuring assistance whenever needed for smooth project management. - Users appreciate the **easy integrations** of Posit Team, enabling seamless setup with tools like GitHub and RStudio. **Cons:** - Users experience **slow performance** with Posit Team, facing significant loading times and delays that hinder productivity. - Users struggle with a **steep learning curve** in Posit, making it challenging for new users to adapt quickly. - Users experience **performance issues** with Posit, facing slow loading times and delays that hinder productivity. - Users face a **steep learning curve** with Posit Team, making it challenging for new users to adapt quickly. - Users report **lagging performance** with large datasets and slow loading times, impacting overall productivity and user experience. #### What Are Recent G2 Reviews of Posit Team? **"[Posit Team Makes Biostatistical Work Reproducible, Collaborative, and Secure](https://www.g2.com/survey_responses/posit-team-review-12977958)"** **Rating:** 5.0/5.0 stars *— Donald S.* [Read full review](https://www.g2.com/survey_responses/posit-team-review-12977958) --- **"[Exceptional Open-Source Data Science Tools with Great Documentation and R/Python Support](https://www.g2.com/survey_responses/posit-team-review-13022732)"** **Rating:** 5.0/5.0 stars *— Omer F. Y.* [Read full review](https://www.g2.com/survey_responses/posit-team-review-13022732) --- #### What Are G2 Users Discussing About Posit Team? - [What is the difference between RStudio desktop and Rstudio server?](https://www.g2.com/discussions/what-is-the-difference-between-rstudio-desktop-and-rstudio-server) - [What is the difference between R and R studio?](https://www.g2.com/discussions/what-is-the-difference-between-r-and-r-studio) - [Is R Studio free?](https://www.g2.com/discussions/is-r-studio-free) - [Which software is used for R programming?](https://www.g2.com/discussions/which-software-is-used-for-r-programming) - 1 comment ### 6. [Orange](https://www.g2.com/products/orange/reviews) Orange is an open-source software suite designed for data visualization, machine learning, and data mining. Developed by the Bioinformatics Laboratory at the University of Ljubljana, it offers a user-friendly, component-based visual programming interface that enables users to construct complex data analysis workflows without the need for coding. This makes Orange accessible to both beginners and experienced data scientists, facilitating efficient and interactive data exploration. Key Features and Functionality: - Visual Programming Interface: Users can create analytical workflows by placing and connecting widgets on a canvas, streamlining the data analysis process. - Extensive Widget Library: Orange provides over 100 widgets for tasks such as data input, preprocessing, visualization, modeling, and evaluation, allowing for comprehensive data analysis. - Interactive Data Visualization: The software supports various visualization techniques, including scatter plots, heatmaps, dendrograms, and box plots, enabling dynamic and real-time data exploration. - Machine Learning Capabilities: Orange includes tools for classification, regression, clustering, and other machine learning techniques, supporting both supervised and unsupervised learning. - Extensibility through Add-ons: Specialized add-ons are available for tasks like text mining, bioinformatics, image analytics, and time series analysis, enhancing the software's functionality. - Python Integration: Advanced users can extend Orange's capabilities or write custom scripts within the platform, combining visual programming with the flexibility of Python scripting. Primary Value and User Solutions: Orange democratizes data analysis by providing an intuitive, code-free environment for constructing and visualizing data workflows. Its modular design allows users to focus on data exploration and interpretation rather than programming, making it particularly valuable for educators, researchers, and professionals seeking to perform complex analyses efficiently. By lowering the barrier to entry in data science, Orange empowers users to make data-driven decisions and gain insights without extensive technical expertise. **Average Rating:** 4.2/5.0 **Total Reviews:** 29 **How Do G2 Users Rate Orange?** - **Quality Control:** 8.1/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.8/10) - **Survival Analysis:** 8.3/10 (Category avg: 8.4/10) - **Data Sampling:** 8.3/10 (Category avg: 8.6/10) **Who Is the Company Behind Orange?** - **Seller:** [Orange](https://www.g2.com/sellers/orange) - **HQ Location:** Issy-les-Moulineaux, FR - **Twitter:** @OrangeDataMiner (2,898 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/orange/ (142,726 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 61% Small-Business, 21% Mid-Market #### What Are Orange's Pros and Cons? **Pros:** - Ease of Use (1 reviews) - Learning (1 reviews) - Machine Learning (1 reviews) ### What Do G2 Reviewers Say About Orange? *AI-generated summary from verified user reviews* **Pros:** - Users find Orange to be **incredibly easy to use** , making it ideal for training and learning machine learning concepts. - Users love the **ease of learning** with Orange, appreciating its aesthetic and comfortable features for diverse audiences. - Users find the **simple and aesthetically pleasing features** of Orange's Machine Learning make training enjoyable and effective. #### What Are Recent G2 Reviews of Orange? **"[My Honest Thoughts on Orange](https://www.g2.com/survey_responses/orange-review-12460249)"** **Rating:** 4.5/5.0 stars *— Emina d.* [Read full review](https://www.g2.com/survey_responses/orange-review-12460249) --- **"[Anyone can Analyse with Orange](https://www.g2.com/survey_responses/orange-review-11206094)"** **Rating:** 5.0/5.0 stars *— Raman P.* [Read full review](https://www.g2.com/survey_responses/orange-review-11206094) --- ### 7. [Qualtrics Market Research](https://www.g2.com/products/qualtrics-market-research/reviews) Decision-grade insights at business speed. The AI-native research platform where research becomes the thing every decision runs through — not the thing every decision waits for. Most organizations are making high-stakes decisions — product launches, market entry, pricing, campaigns — without the market intelligence to back them up. Not because teams lack expertise, but because the tools and timelines they're working with were built for a slower era, and business decisions can't wait. • Eight to twelve weeks from question to answer. • Five to seven disconnected vendors per study. • Insights that arrive after the decision has already been made. • Business teams route around research — using unvalidated generic AI tools. Qualtrics Market Research replaces that infrastructure. We're the only platform where research expertise, validated methodology, and AI are natively embedded, not bolted on — built on 20+ years of experience insights and trained on millions of proprietary and unique market research survey responses that generic AI tools can’t replicate. Research platform, human and synthetic panels, advanced methodology, and AI-powered synthesis — integrated natively, not stitched together. And uniquely: research sits in the same system as CX and EX data, closing the loop between insight and measurable business outcomes in a way no agency or point solution can. The result: research shifts from scarcity to abundance. • Decision-grade insights in 24–48 hours instead of 6–8 weeks. • Research costs cut 50–85%. • Insights compound into institutional knowledge instead of disappearing into slide decks. • Research becomes the thing every business decision runs through. Customers see the difference quickly. • Gabb cut time-to-insight from 7 days to 4 hours and runs research at 50% lower cost. • Navy Federal Credit Union delivers strategic research in under 4 hours versus 5 days. • Workday generated 1,700 product improvement ideas in 3 months. • Booking.com cut fielding costs 50% with synthetic panels. • Victoria's Secret runs 200%+ more research projects on the same team. • Across deployments, Nucleus Research finds an average 100% ROI with 1.5-year payback. Qualtrics is also named a Strong Performer in The Forrester Wave™ for Experience Research Platforms (https://www.qualtrics.com/ebooks-guides/experience-research-wave-report/). \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Why teams choose Qualtrics Market Research 1) Research platform + research expertise + research-grade AI — purpose-built to work together Most platforms give you survey software. Qualtrics gives you a research system. 20+ years of market research expertise embedded in the platform itself. AI trained on real market research data, not internet scraping. Panel access, study design, advanced analytics, and synthesis — integrated natively, not stitched together through APIs. And when you need to connect to your BI tools (Tableau, Power BI, Looker) or bring in specialized panels, Qualtrics is built to integrate, not replace. Agencies have the expertise but not the platform. DIY tools have the platform but not the expertise. Generic AI moves fast but has no research foundation. Qualtrics is the only option where all three exist natively — and plays well with the rest of your stack. 2) The only ecosystem that connects research to CX, EX, and operational data Research sits in the same system as the experience data your organization already collects — CX satisfaction scores, EX engagement metrics, operational performance data. Research questions can be triggered by what's happening in your programs. Findings can be validated against real business outcomes. You can prove research ROI by connecting insights to measurable results. No agency, no specialized MR platform, and no AI tool offers this natively — and it cannot be replicated by stitching tools together. This closes the loop between insight and outcome in a way no one else can. 3) Governance that scales research without diluting it The risk of research democratization is confident conclusions built on flawed inputs — more teams running studies, fewer with methodology expertise to run them well. Qualtrics is the only platform with built-in guardrails that prevent flawed studies from being fielded, a published validation framework for synthetic data that survives stakeholder scrutiny, and centralized visibility that lets research leaders see and govern everything running across the organization. Fast and governed. Scaled and rigorous. That combination doesn't exist anywhere else. \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ What you can do with Qualtrics Market Research Move from project to platform. Research becomes always-on infrastructure, not a request queue. Continuous tracking, always-available findings, and AI that surfaces what teams already know before they ask. Every study compounds in Research Hub — the 10th study on a topic makes the 1st study more valuable, not obsolete. Research Agent lets any team member get validated answers without a trained researcher in the room — so research scales beyond the research team without creating governance risk. Get decision-grade insights without the agency wait. Deliver insights in 24–48 hours instead of 6–8 weeks — so findings arrive before the decision, not after it. Synthetic panels compress directional research from weeks to hours at 50% lower cost. Apply advanced methodology (Conjoint with HB analysis, MaxDiff with TURF, Van Westendorp, Gabor-Granger) without an agency — built into the platform so the economics of high-quality research change permanently. AI handles transcript coding, theme detection, and summary generation, so researchers spend their time on interpretation, not mechanics. Govern research as it scales. Built-in methodology guardrails prevent flawed studies from being fielded — Research Agent (early access) enforces best practices at the point of study creation, not after results come back. Federated permissions and branded templates let every team operate within shared quality standards. Audit trails, AI transparency, and a published synthetic validation framework (Generalization, Data Shape, Diversity, Transferability) provide the provenance enterprise stakeholders will ask about. SOC 2, GDPR, HITRUST, ISO 27001, and FedRAMP round out the compliance posture procurement teams already know how to approve. \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Key Qualtrics Market Research capabilities • Research hub — AI-powered search and synthesis across every study, including external documents; cross-study intelligence surfaces patterns automatically • Advanced survey tools — Drag-and-drop survey builder, advanced logic, quota management, support for 100+ question types, and PhD-backed templates • Research agent (early access) — AI-guided study scoping for Conjoint and MaxDiff, questionnaire drafting, plain-language Q&A against your accumulated research library • Synthetic panels — Launch studies instantly to pre-test survey designs, screen dozens of ideas, explore new populations, or extend first-wave findings with simulated row-level responses from research- grade AI that replicate real-world audience patterns • Integrated human panels — reach 200M+ vetted respondents across 200+ global markets through a curated network of 30+ panel partners, all accessible in the platform • UX research - Moderated and unmoderated user testing, card sorting and tree testing on the same platform as other market research capabilities. • Advanced methodology — Conjoint (CBC with HB analysis), MaxDiff with TURF, Van Westendorp PSM, Gabor-Granger, segmentation, brand tracking, concept testing • AI summary — automated transcript coding, theme detection, and highlight reel generation for qualitative work • Video & audio analysis — Analyzes thousands of open-text responses and automatically surfaces key themes, sentiment trends, and representative quotes with AI. • Conversational feedback — Uncover layers of valuable context with intelligent follow-up questions that dynamically adapts to customer input • ExpertReview — AI-driven survey quality and methodology checks at the point of design • Stats iQ + Text iQ — AI-powered statistical analysis and open-end text analytics CX + EX + MR integration — research connects natively to experience programs, the only platform that does • Prebuilt XM solutions — survey-in-a-box for brand tracking, concept testing, message testing, A&U, and UX research •Advanced analysis — Crosstabs and customizable reporting dashboards REST API, multi-channel distribution including email and SMS, WCAG 2.0 compliant • Enterprise governance — federated permissions, branded templates, audit trails, AI transparency, bias auditing • System integrations — Salesforce, Snowflake, Tableau, Power BI • Compliance — SOC 2, GDPR, HITRUST, ISO 27001, FedRAMP \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ - ABOUT QUALTRICS Qualtrics is the AI-powered experience and research platform organizations use to understand customers, employees, and markets — and act on what they learn. Across customer experience, employee experience, and market research, the Qualtrics platform combines proprietary AI, PhD-backed methodology, and the world's most flexible feedback technology to help teams design better products, deliver better experiences, and make better decisions, faster. \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ - RELATED QUALTRICS PRODUCTS Qualtrics Customer Experience Hear every customer's voice, fix every broken experience, and increase loyalty and lifetime value. Combines an AI-powered listening engine, predictive intelligence, and closed-loop action capabilities so teams can move beyond measurement to drive change across the entire customer journey. https://www.g2.com/products/qualtrics-customer-experience/reviews Qualtrics Employee Experience Gather continuous feedback at every employee moment that matters and take action to improve engagement, talent planning, productivity, and innovation. Pairs AI-driven analytics and IO-psychology-based decision tools with guided manager action planning and real-time automated workflows. https://www.g2.com/products/qualtrics-employee-experience/reviews **Average Rating:** 4.4/5.0 **Total Reviews:** 2,912 **How Do G2 Users Rate Qualtrics Market Research?** - **Quality Control:** 8.5/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.8/10) - **Survival Analysis:** 8.5/10 (Category avg: 8.4/10) - **Data Sampling:** 8.2/10 (Category avg: 8.6/10) **Who Is the Company Behind Qualtrics Market Research?** - **Seller:** [Qualtrics](https://www.g2.com/sellers/qualtrics) - **Company Website:** https://www.qualtrics.com - **Year Founded:** 2002 - **HQ Location:** Provo, UT - **Twitter:** @Qualtrics (42,137 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/314350/ (6,231 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Student, Research Assistant - **Top Industries:** Higher Education, Education Management - **Company Size:** 45% Enterprise, 33% Mid-Market #### What Are Qualtrics Market Research's Pros and Cons? **Pros:** - Ease of Use (295 reviews) - Survey Creation (246 reviews) - Features (109 reviews) - Intuitive (99 reviews) - Ease of Creation (82 reviews) **Cons:** - Survey Issues (79 reviews) - Survey Limitations (62 reviews) - Learning Curve (53 reviews) - Limited Customization (47 reviews) - Pricing Issues (47 reviews) ### What Do G2 Reviewers Say About Qualtrics Market Research? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Qualtrics, facilitating self-service survey creation and management effortlessly. - Users appreciate the **self-service platform** of Qualtrics, enabling easy survey creation, testing, and measuring results. - Users value the **ease of building sophisticated surveys** with Qualtrics, appreciating its versatile and scalable features. - Users value the **intuitive interface** of Qualtrics Market Research, fostering creativity and ease in survey creation and analysis. - Users appreciate the **ease of creation** with Qualtrics, finding the intuitive interface perfect for building surveys effortlessly. **Cons:** - Users express frustration over **collaborative survey limitations** in Qualtrics, complicating sharing and feedback processes. - Users note the **limited international survey capacity** and desire more support for survey customization and advanced templates. - Users experience a **steep learning curve** with Qualtrics, making it difficult for beginners to utilize effectively. - Users find the **limited customization** options frustrating, particularly regarding advanced analytics and survey appearance adjustments. - Users express concerns about **pricing issues** with Qualtrics, noting it's high and lacks discounts for non-profits. #### What Are Recent G2 Reviews of Qualtrics Market Research? **"[Structured Feedback Insights with an Intuitive Survey Builder](https://www.g2.com/survey_responses/qualtrics-market-research-review-12999170)"** **Rating:** 4.0/5.0 stars *— Dharamveer p.* [Read full review](https://www.g2.com/survey_responses/qualtrics-market-research-review-12999170) --- **"[Very useful for Wellness Surveys, Feedback Collection and Research Work](https://www.g2.com/survey_responses/qualtrics-market-research-review-12806991)"** **Rating:** 5.0/5.0 stars *— Ishan S.* [Read full review](https://www.g2.com/survey_responses/qualtrics-market-research-review-12806991) --- #### What Are G2 Users Discussing About Qualtrics Market Research? - [How are organizations utilizing Qualtrics CoreXM to gather and analyze customer experience data?](https://www.g2.com/discussions/how-are-organizations-utilizing-qualtrics-corexm-to-gather-and-analyze-customer-experience-data) - 1 comment - [What is Qualtrics CoreXM used for?](https://www.g2.com/discussions/what-is-qualtrics-corexm-used-for) - 2 comments, 2 upvotes - [Is qualtrics better than SurveyMonkey?](https://www.g2.com/discussions/is-qualtrics-better-than-surveymonkey) - 3 comments, 1 upvote - [What is qualtrics platform?](https://www.g2.com/discussions/what-is-qualtrics-platform) - 1 comment - [What is CoreXM?](https://www.g2.com/discussions/what-is-corexm) - 1 comment ### 8. [OriginPro](https://www.g2.com/products/originpro/reviews) Origin is a user-friendly and easy-to-learn software application that provides data analysis and publication-quality graphing capabilities tailored to the needs of scientists and engineers. OriginPro offers extended analysis tools for Peak Fitting, Surface Fitting, Statistics, Signal Processing and Image Handling. Along with general statistical tools such as descriptive statistics, T-tests, ANOVA, and survival analysis, OriginPro also offers advanced Time Series analysis and Quality Improvement tools including DOE, SPC, and MSA. Users can customize operations such as importing, graphing and analysis, all from the GUI. Graphs, analysis results and reports update automatically when data or parameters change. This allows for batch analysis of multiple files or data sets without the need for programming. **Average Rating:** 4.7/5.0 **Total Reviews:** 138 **How Do G2 Users Rate OriginPro?** - **Quality Control:** 7.6/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.8/10) - **Survival Analysis:** 8.3/10 (Category avg: 8.4/10) - **Data Sampling:** 9.1/10 (Category avg: 8.6/10) **Who Is the Company Behind OriginPro?** - **Seller:** [OriginLab Corp.](https://www.g2.com/sellers/originlab-corp) - **Company Website:** https://www.originlab.com - **Year Founded:** 1992 - **HQ Location:** Northampton, MA - **Twitter:** @OriginLab (2,428 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/205815/ (34 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Research Scientist - **Top Industries:** Research, Higher Education - **Company Size:** 46% Enterprise, 34% Small-Business #### What Are OriginPro's Pros and Cons? **Pros:** - Analysis (10 reviews) - Data Analysis (10 reviews) - Ease of Use (10 reviews) - Visualization (10 reviews) - Graphical Visualization (9 reviews) **Cons:** - Learning Curve (5 reviews) - Not User-Friendly (4 reviews) - Complexity (3 reviews) - Expensive (3 reviews) - Limited Flexibility (3 reviews) ### What Do G2 Reviewers Say About OriginPro? *AI-generated summary from verified user reviews* **Pros:** - Users praise OriginPro for its **advanced statistical tools and customization options** , making it ideal for research and analysis. - Users appreciate the **advanced data analysis capabilities** of OriginPro, enhancing efficiency and reliability in their results. - Users find OriginPro to be **incredibly easy to use** , enhancing efficiency in data analysis and presentation tasks. - Users value the **advanced visualization tools** of OriginPro for creating clean, customizable graphs for publications. - Users love the **graphical visualization** capabilities of OriginPro, enabling stunning, customizable plots for effective presentations. **Cons:** - Users find that there's a **learning curve** with OriginPro, making initial use and formatting challenging. - Users find the **interface not user-friendly** , making basic tasks like column manipulation quite challenging. - Users find the **complexity** of column manipulation in OriginPro to be non-intuitive, causing some frustration during usage. - Users find the **subscription expensive** and mention high maintenance costs for the premium OriginPro software. - Users find **limited flexibility** in graphing and formula features, impacting their overall experience with OriginPro. #### What Are Recent G2 Reviews of OriginPro? **"[Reliable and flexible way of making plots and statistical analysis](https://www.g2.com/survey_responses/originpro-review-11593947)"** **Rating:** 5.0/5.0 stars *— Marco D.* [Read full review](https://www.g2.com/survey_responses/originpro-review-11593947) --- **"[OriginPro tool for batch processing and equation solver](https://www.g2.com/survey_responses/originpro-review-12202999)"** **Rating:** 5.0/5.0 stars *— Jose V.* [Read full review](https://www.g2.com/survey_responses/originpro-review-12202999) --- #### What Are G2 Users Discussing About OriginPro? - [What is your experience with OriginPro for data analysis, and what improvements could be made?](https://www.g2.com/discussions/what-is-your-experience-with-originpro-for-data-analysis-and-what-improvements-could-be-made) - 1 comment, 1 upvote - [What is OriginPro used for?](https://www.g2.com/discussions/what-is-originpro-used-for) - 1 comment - [How do you plot graphs on Origin software?](https://www.g2.com/discussions/how-do-you-plot-graphs-on-origin-software) - [Is OriginLab free?](https://www.g2.com/discussions/is-originlab-free) - [How do you analyze data from Origin?](https://www.g2.com/discussions/how-do-you-analyze-data-from-origin) - 1 comment ### 9. [Statista](https://www.g2.com/products/statista/reviews) Statista is a global leader in data and insights, trusted by 30,000 business and academic clients worldwide. If you’re tired of searching multiple sources for reliable information, Statista is your solution. With an unrivaled breadth of data on markets, industries, and consumers, Statista provides the essential foundation to uncover trends, validate strategies, and drive success. We help you quickly access credible market and consumer data, back up your ideas, and create impactful presentations, all while gaining comprehensive insights to inform your decisions and fuel growth. Book a demo today to see how Statista can simplify the way you access and use data. **Average Rating:** 4.4/5.0 **Total Reviews:** 30 **How Do G2 Users Rate Statista?** - **Quality Control:** 7.5/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.8/10) - **Survival Analysis:** 7.6/10 (Category avg: 8.4/10) - **Data Sampling:** 8.2/10 (Category avg: 8.6/10) **Who Is the Company Behind Statista?** - **Seller:** [Statista](https://www.g2.com/sellers/statista) - **HQ Location:** Hamburg, DE - **Twitter:** @StatistaCharts (145,528 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/statista/ (1,284 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Marketing and Advertising - **Company Size:** 40% Small-Business, 33% Mid-Market #### What Are Statista's Pros and Cons? **Pros:** - Insights (5 reviews) - Statistical Analysis (5 reviews) - Customer Support (4 reviews) - Ease of Use (3 reviews) - Data Visualization (2 reviews) **Cons:** - Data Management (2 reviews) - Expensive (2 reviews) - Complexity (1 reviews) - Not User-Friendly (1 reviews) ### What Do G2 Reviewers Say About Statista? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **quick and comprehensive insights** from Statista, making it a valuable resource for diverse topics. - Users appreciate the **vast market research and user-friendly interface** of Statista, enhancing their business development efforts. - Users appreciate the **excellent customer support** from Statista, enhancing their experience with reliable and timely assistance. - Users appreciate the **ease of navigation** in Statista, finding it straightforward to access valuable insights quickly. - Users value the **effective data visualization** of Statista, enhancing business strategies and audience engagement through clear presentations. **Cons:** - Users are frustrated with the **lack of specific retailer and shopper data** , along with outdated statistics affecting usability. - Users find Statista's pricing to be **relatively high** , making premium reports unaffordable for startups and small businesses. - Users find the **AI feature's complexity** lacking, as it seems underdeveloped and in need of refinement. - Users find Statista **not user-friendly** , as accessing Excel tables in PowerPoint reports can be cumbersome and inconvenient. #### What Are Recent G2 Reviews of Statista? **"[Excellent Resource for Advertising Insights](https://www.g2.com/survey_responses/statista-review-11912158)"** **Rating:** 4.0/5.0 stars *— Wells D.* [Read full review](https://www.g2.com/survey_responses/statista-review-11912158) --- **"[Excellent Industry Data and Visualizations - A Wonderful Resource for Researchers](https://www.g2.com/survey_responses/statista-review-12834843)"** **Rating:** 5.0/5.0 stars *— Nataliia L.* [Read full review](https://www.g2.com/survey_responses/statista-review-12834843) --- ### 10. [JMP](https://www.g2.com/products/jmp/reviews) JMP, data analysis software for Mac and Windows, combines the strength of interactive visualization with powerful statistics. Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, allows users to dig deeply into their data, with greater ease and speed. Originally developed in the 1980’s to capture the new value in GUI for personal computers, JMP remains dedicated to adding cutting-edge statistical methods and special analysis techniques from a variety of industries to the software’s functionality with each release. The organization's founder, John Sall, still serves as Chief Architect. To see a full list of data connectors please visit https://www.jmp.com/en/software/analytic-workflow/data-connectors **Average Rating:** 4.5/5.0 **Total Reviews:** 206 **How Do G2 Users Rate JMP?** - **Quality Control:** 8.6/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.8/10) - **Survival Analysis:** 8.7/10 (Category avg: 8.4/10) - **Data Sampling:** 8.8/10 (Category avg: 8.6/10) **Who Is the Company Behind JMP?** - **Seller:** [JMP Statistical Discovery](https://www.g2.com/sellers/jmp-statistical-discovery) - **Company Website:** https://www.jmp.com - **Year Founded:** 1989 - **HQ Location:** Cary, North Carolina - **Twitter:** @JMP_software (2,760 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/jmp/ (1,031 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Student - **Top Industries:** Higher Education, Information Technology and Services - **Company Size:** 42% Enterprise, 33% Small-Business #### What Are JMP's Pros and Cons? **Pros:** - Ease of Use (10 reviews) - Data Visualization (9 reviews) - Statistical Analysis (5 reviews) - Visualization (5 reviews) - User Interface (4 reviews) **Cons:** - Expensive (6 reviews) - Learning Curve (4 reviews) - Limited Flexibility (4 reviews) - Learning Difficulty (3 reviews) - Limitations in Storage (2 reviews) ### What Do G2 Reviewers Say About JMP? *AI-generated summary from verified user reviews* **Pros:** - Users celebrate the **ease of use** in JMP, enabling effortless data exploration and intuitive visual analysis. - Users appreciate the **easy data visualization** in JMP, enabling quick insights and informed decision-making without coding. - Users value the **ease of statistical analysis** in JMP, allowing effortless data exploration and visualization. - Users appreciate the **intuitive and dynamic visualization** features of JMP, making data exploration and analysis effortless. - Users appreciate the **intuitive and interactive interface** of JMP, making data analysis and visualization accessible and enjoyable. **Cons:** - Users find JMP **expensive** , especially for small businesses, making it a tough choice for their statistical needs. - Users find the **learning curve steep** , especially beginners who may feel overwhelmed by the interface and advanced features. - Users find JMP to have **limited flexibility** in model options and integration with other tools, restricting their analysis capabilities. - Users find JMP to have a **steep learning curve** , making it challenging for beginners to navigate effectively. - Users find **limitations in storage** of JMP, feeling restricted by the absence of various models for analysis. #### What Are Recent G2 Reviews of JMP? **"[JMP Software: Good Tool, Few Downsides](https://www.g2.com/survey_responses/jmp-review-11188568)"** **Rating:** 4.0/5.0 stars *— Verified User in Pharmaceuticals* [Read full review](https://www.g2.com/survey_responses/jmp-review-11188568) --- **"[Intuitive Visual Analytics, Powerful Tools—But Resource-Heavy and Pricey](https://www.g2.com/survey_responses/jmp-review-11859383)"** **Rating:** 4.5/5.0 stars *— Ganesh W.* [Read full review](https://www.g2.com/survey_responses/jmp-review-11859383) --- #### What Are G2 Users Discussing About JMP? - [What is JMP used for?](https://www.g2.com/discussions/what-is-jmp-used-for) - 1 comment - [Who uses JMP?](https://www.g2.com/discussions/who-uses-jmp) - 3 comments - [Is JMP software validated?](https://www.g2.com/discussions/is-jmp-software-validated) - 1 comment - [What is the difference between JMP and JMP Pro?](https://www.g2.com/discussions/what-is-the-difference-between-jmp-and-jmp-pro) - [What is JMP software used for?](https://www.g2.com/discussions/what-is-jmp-software-used-for) - 1 comment ### 11. [GraphPad Prism](https://www.g2.com/products/graphpad-prism/reviews) GraphPad Prism is a comprehensive scientific software designed to streamline data analysis, graphing, and presentation for researchers across various disciplines. It combines robust statistical analysis capabilities with intuitive graphing tools, enabling users to efficiently interpret complex datasets and produce publication-quality visuals. Prism's user-friendly interface and guided workflows make it accessible to both novice and experienced scientists, facilitating accurate and reproducible results. Key Features and Functionality: - Data Organization: Prism offers structured data tables tailored for different types of analyses, including quantitative and categorical data, ensuring accurate data entry and management. - Statistical Analysis: The software provides a wide array of statistical tests such as t-tests, ANOVA (one-, two-, and three-way), linear and nonlinear regression, survival analysis, and principal component analysis, all presented in clear language to aid understanding. - Graphing and Visualization: Users can create a variety of graph types, including scatter plots, bar charts, and bubble plots, with extensive customization options to enhance data visualization. - Nonlinear Regression: Prism simplifies curve fitting with over 100 built-in equations, allowing for robust nonlinear regression analyses, including dose-response curves and growth models. - Automation and Reproducibility: The software enables automation of repetitive analyses without the need for programming, ensuring consistency and efficiency in data processing. - Collaboration Tools: Prism Cloud facilitates project sharing and collaboration, allowing teams to view and discuss projects in real-time, enhancing collective research efforts. Primary Value and User Solutions: GraphPad Prism addresses the critical need for accurate and efficient data analysis in scientific research. By integrating statistical analysis with advanced graphing capabilities, it reduces the complexity of data interpretation, allowing researchers to focus on deriving meaningful insights. The software's intuitive design and guided analyses minimize the learning curve, making sophisticated statistical methods accessible to a broader audience. Additionally, Prism's collaboration features streamline teamwork, ensuring that research findings are easily shared and discussed, ultimately accelerating the research process and enhancing the quality of scientific outputs. **Average Rating:** 4.6/5.0 **Total Reviews:** 54 **How Do G2 Users Rate GraphPad Prism?** - **Quality Control:** 9.0/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.8/10) - **Survival Analysis:** 9.2/10 (Category avg: 8.4/10) - **Data Sampling:** 9.3/10 (Category avg: 8.6/10) **Who Is the Company Behind GraphPad Prism?** - **Seller:** [GraphPad Software](https://www.g2.com/sellers/graphpad-software) - **Year Founded:** 1989 - **HQ Location:** San Diego, California - **Twitter:** @GraphPad (1,863 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/18737349/ (12 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Research, Higher Education - **Company Size:** 35% Small-Business, 33% Enterprise #### What Are GraphPad Prism's Pros and Cons? **Pros:** - Ease of Use (3 reviews) - Statistical Analysis (3 reviews) - Graphical Visualization (2 reviews) - Customer Support (1 reviews) - Data Analysis (1 reviews) **Cons:** - Expensive (2 reviews) - Limited Resources (1 reviews) - Poor Educational Resources (1 reviews) ### What Do G2 Reviewers Say About GraphPad Prism? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of GraphPad Prism, appreciating its intuitive interface and minimal training requirements. - Users value the **user-friendly statistical analysis** of GraphPad Prism, enhancing their research graph quality effortlessly. - Users value the **professional quality of graphs** generated by GraphPad Prism, enhancing their research and publications. - Users appreciate the **quick and responsive customer support** of GraphPad Prism, enhancing their overall experience with the software. - Users appreciate the **intuitive design and professional quality** of GraphPad Prism for efficient data analysis and graphing. **Cons:** - Users find GraphPad Prism to be **too expensive** , with limited free access and affordability issues for many researchers. - Users are frustrated by the **limited resources** available for understanding statistical assumptions, impacting result interpretation. - Users find the **poor educational resources** in GraphPad Prism hinder understanding and interpretation of statistical results. #### What Are Recent G2 Reviews of GraphPad Prism? **"[I just love making graphs and statistics with GraphPad](https://www.g2.com/survey_responses/graphpad-prism-review-10518686)"** **Rating:** 5.0/5.0 stars *— Glaucia I.* [Read full review](https://www.g2.com/survey_responses/graphpad-prism-review-10518686) --- **"[GraphPad Prism: Easy to Use, Great Value, and Fast Customer Support](https://www.g2.com/survey_responses/graphpad-prism-review-12294952)"** **Rating:** 5.0/5.0 stars *— SAMUEL K.* [Read full review](https://www.g2.com/survey_responses/graphpad-prism-review-12294952) --- #### What Are G2 Users Discussing About GraphPad Prism? - [What is GraphPad Prism used for?](https://www.g2.com/discussions/what-is-graphpad-prism-used-for) - [What is Prism computer program?](https://www.g2.com/discussions/what-is-prism-computer-program) - [How much does GraphPad Prism cost?](https://www.g2.com/discussions/how-much-does-graphpad-prism-cost) - [Is GraphPad Prism free?](https://www.g2.com/discussions/is-graphpad-prism-free) ### 12. [SAS/STAT](https://www.g2.com/products/sas-stat/reviews) SAS/STAT includes exact techniques for small data sets, high-performance statistical modeling tools for large data tasks and modern methods for analyzing data with missing values. **Average Rating:** 4.2/5.0 **Total Reviews:** 57 **How Do G2 Users Rate SAS/STAT?** - **Quality Control:** 9.1/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 7.6/10 (Category avg: 8.8/10) - **Survival Analysis:** 9.1/10 (Category avg: 8.4/10) - **Data Sampling:** 9.0/10 (Category avg: 8.6/10) **Who Is the Company Behind SAS/STAT?** - **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2) - **Year Founded:** 1976 - **HQ Location:** Cary, NC - **Twitter:** @SASsoftware (60,863 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,638 employees on LinkedIn®) - **Phone:** 1-800-727-0025 **Who Uses This Product?** - **Top Industries:** Research, Higher Education - **Company Size:** 50% Enterprise, 31% Mid-Market #### What Are SAS/STAT's Pros and Cons? **Cons:** - Learning Curve (1 reviews) ### What Do G2 Reviewers Say About SAS/STAT? *AI-generated summary from verified user reviews* **Cons:** - Users find SAS/STAT to have a **challenging learning curve** for newcomers, although improvements are being made. #### What Are Recent G2 Reviews of SAS/STAT? **"[Review of SAS stat: Strength, limitation and practical benefits](https://www.g2.com/survey_responses/sas-stat-review-9158417)"** **Rating:** 4.5/5.0 stars *— Nitish J.* [Read full review](https://www.g2.com/survey_responses/sas-stat-review-9158417) --- **"[Submission-Ready Reports with Powerful Data Cleaning and Statistical Analysis](https://www.g2.com/survey_responses/sas-stat-review-12716194)"** **Rating:** 5.0/5.0 stars *— Verified User in Medical Devices* [Read full review](https://www.g2.com/survey_responses/sas-stat-review-12716194) --- #### What Are G2 Users Discussing About SAS/STAT? - [What is SAS/STAT used for?](https://www.g2.com/discussions/what-is-sas-stat-used-for) - [What is SAS software development?](https://www.g2.com/discussions/what-is-sas-software-development) - [What are the features of statistical software?](https://www.g2.com/discussions/what-are-the-features-of-statistical-software) - [What is SAS software used for?](https://www.g2.com/discussions/what-is-sas-software-used-for) - [What is SAS Stat?](https://www.g2.com/discussions/what-is-sas-stat) ### 13. [XLSTAT](https://www.g2.com/products/xlstat/reviews) The leading data analysis and statistical solution for Microsoft Excel®. XLSTAT is a powerful yet flexible Excel data analysis add-on that allows users to analyze, customize and share results within Microsoft Excel. With over 250 standard to advanced statistical features available, XLSTAT is the preferred tool for statistical analysis in businesses and universities, large and small, and for 110,000+ users in over 120 countries across the world. **Average Rating:** 4.7/5.0 **Total Reviews:** 45 **How Do G2 Users Rate XLSTAT?** - **Quality Control:** 8.8/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.8/10) - **Survival Analysis:** 7.4/10 (Category avg: 8.4/10) - **Data Sampling:** 8.9/10 (Category avg: 8.6/10) **Who Is the Company Behind XLSTAT?** - **Seller:** [Lumivero](https://www.g2.com/sellers/lumivero) - **Year Founded:** 1995 - **HQ Location:** Denver, CO - **Twitter:** @LUMIVER0 (399 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/76790/ (298 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Research, Higher Education - **Company Size:** 58% Small-Business, 28% Enterprise #### What Are XLSTAT's Pros and Cons? **Pros:** - Ease of Use (4 reviews) - Graphical Visualization (2 reviews) - Statistical Analysis (2 reviews) - Customer Support (1 reviews) - Data Analysis (1 reviews) **Cons:** - Expensive (3 reviews) - Expensive Subscriptions (1 reviews) ### What Do G2 Reviewers Say About XLSTAT? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of XLSTAT, finding it simple and quick for their statistical needs. - Users appreciate the **graphical visualization** of XLSTAT, finding it simple and essential for client comprehension. - Users find XLSTAT's **seamless sensory data analysis** highly effective and user-friendly for everyday statistical tasks. - Users value the **responsive customer support** of XLSTAT, enhancing their experience with effective assistance. - Users value the **seamless sensory data analysis** capabilities of XLSTAT, enhancing their data analysis experience with ease. **Cons:** - Users find the **pricing of XLSTAT to be prohibitively high** , making it less accessible for low-income users. - Users find the **subscription costs to be high** , making it less accessible for some analysts. #### What Are Recent G2 Reviews of XLSTAT? **"[A very useful Statistical tool](https://www.g2.com/survey_responses/xlstat-review-11507801)"** **Rating:** 5.0/5.0 stars *— Sarwat F.* [Read full review](https://www.g2.com/survey_responses/xlstat-review-11507801) --- **"[I use XLTAT for my academic paper in epidemiology. It's userfriendly](https://www.g2.com/survey_responses/xlstat-review-11509360)"** **Rating:** 5.0/5.0 stars *— Jonathan Y.* [Read full review](https://www.g2.com/survey_responses/xlstat-review-11509360) --- #### What Are G2 Users Discussing About XLSTAT? - [Is XLSTAT free for students?](https://www.g2.com/discussions/is-xlstat-free-for-students) - [Does Excel come with XLSTAT?](https://www.g2.com/discussions/does-excel-come-with-xlstat) - [What is the use of XLSTAT?](https://www.g2.com/discussions/what-is-the-use-of-xlstat) - 1 comment - [What is XLSTAT and two of its features?](https://www.g2.com/discussions/what-is-xlstat-and-two-of-its-features) - 1 comment ### 14. [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packaging options tailored to meet the diverse needs of teams at various stages of their visual data science journey. Turn raw data into real-time decisions with powerful, interactive visual analytics with Spotfire® Analytics. Spotfire Analytics is designed for business agility, enabling every user to explore data visually, uncover patterns quickly, and make confident, data-driven decisions without writing a single line of code. As a self-service visual data science solution, it empowers teams across roles and departments to gain fast, actionable insights that drive impact. With its no-code interactive dashboards and rich visual exploration capabilities, Spotfire Analytics connects natively to hundreds of cloud, on-premises, and real-time data sources. Built-in geoanalytics extend the power of analysis with multi-layer mapping and seamless integration of spatial data, while data wrangling and transformation can be performed directly within the visual interface, making it easy to clean, shape, and blend data as you analyze. AI-assisted recommendations and anomaly detection help uncover hidden patterns, suggest the most meaningful visualizations, and accelerate the path to discovery. Customizable visualizations, workflows, and an intuitive interface ensure that insights are not only easier to create but also easier to share. With seamless collaboration features, Spotfire Analytics enables teams to work together, align on insights, and act decisively. Whether the goal is to analyze trends, detect anomalies, or unlock location-based intelligence, Spotfire Analytics delivers the speed, flexibility, and depth needed to make smarter decisions with confidence. Explore and understand your data visually, uncover hidden insights, and build powerful analytics applications - all without writing a single line of code. Spotfire Analytics combines advanced interactive visualizations and intuitive data wrangling in one environment. Connect to hundreds of data sources, from files to real-time streaming data, and transform messy data directly within your visuals. Built-in AI recommendations help you find patterns, anomalies, and trends faster. With flexible visualizations, spatial analytics, and custom applications, anyone can turn raw data into actionable insights in minutes. Designed for business agility, Spotfire Analytics empowers every user to explore, analyze, and share results confidently - turning questions into decisions. Best for: Analysts, data-savvy professionals, and teams looking to explore and share data visually with maximum flexibility. **Average Rating:** 4.2/5.0 **Total Reviews:** 328 **How Do G2 Users Rate Spotfire Analytics?** - **Quality Control:** 6.3/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 8.8/10) - **Survival Analysis:** 10.0/10 (Category avg: 8.4/10) - **Data Sampling:** 8.8/10 (Category avg: 8.6/10) **Who Is the Company Behind Spotfire Analytics?** - **Seller:** [Spotfire](https://www.g2.com/sellers/spotfire-2d87c926-94f3-47ce-8a5d-44d930d7c744) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/spotfire/ (103 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Student, Manager - **Top Industries:** Oil & Energy, Information Technology and Services - **Company Size:** 52% Enterprise, 26% Mid-Market #### What Are Spotfire Analytics's Pros and Cons? **Pros:** - Data Visualization (14 reviews) - Ease of Use (14 reviews) - Easy Integrations (10 reviews) - Features (10 reviews) - Insights (10 reviews) **Cons:** - Learning Curve (8 reviews) - Learning Difficulty (6 reviews) - Expensive (5 reviews) - Complexity (3 reviews) - Limitations (3 reviews) ### What Do G2 Reviewers Say About Spotfire Analytics? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **powerful data visualization capabilities** of Spotfire Analytics, enabling easy exploration of complex datasets. - Users appreciate the **ease of use** of Spotfire Analytics, making complex data visualization and analysis simple and effective. - Users value the **easy integrations** of Spotfire Analytics, enhancing data accuracy and enabling advanced analytics effortlessly. - Users praise Spotfire Analytics for its **robust integration and powerful visualization capabilities** , enhancing decision-making and efficiency. - Users value the **powerful visualization and real-time analytics** of Spotfire Analytics, enhancing decision-making and data insights. **Cons:** - Users find the **learning curve challenging** , especially for advanced features, making initial usage difficult for beginners. - Users find **learning difficult** due to the numerous function buttons and overall complexity of Spotfire Analytics. - Users find Spotfire Analytics to be **relatively expensive** , with high costs for licensing and maintenance compared to competitors. - Users find the **complexity of Spotfire** a challenge, particularly for those unfamiliar with data modeling or scripting. - Users note the **limitations in data comparison and visualization options** , indicating a need for improvements in various features. #### What Are Recent G2 Reviews of Spotfire Analytics? **"[A Comprehensive Analytics Platform for Deep, Real-Time Data Insights](https://www.g2.com/survey_responses/spotfire-analytics-review-11828634)"** **Rating:** 5.0/5.0 stars *— Manan B.* [Read full review](https://www.g2.com/survey_responses/spotfire-analytics-review-11828634) --- **"[Where data science becomes visual—and actually useful!](https://www.g2.com/survey_responses/spotfire-analytics-review-11661595)"** **Rating:** 5.0/5.0 stars *— Leandro A.* [Read full review](https://www.g2.com/survey_responses/spotfire-analytics-review-11661595) --- #### What Are G2 Users Discussing About Spotfire Analytics? - [What is TIBCO Spotfire used for?](https://www.g2.com/discussions/what-is-tibco-spotfire-used-for) - 1 comment - [What is TIBCO Data Science used for?](https://www.g2.com/discussions/what-is-tibco-data-science-used-for) - [Is Tibco Spotfire free?](https://www.g2.com/discussions/is-tibco-spotfire-free) - 2 comments - [What is most like Tibco Spotfire?](https://www.g2.com/discussions/what-is-most-like-tibco-spotfire) - 1 comment - [What's New In Tibco Spotfire?](https://www.g2.com/discussions/what-s-new-in-tibco-spotfire) - 1 comment ### 15. [SAS Visual Statistics](https://www.g2.com/products/sas-visual-statistics/reviews) Multiple users can explore data, then interactively create and refine predictive models. Distributed, in-memory processing slashes model development time, quickly surfacing valuable insights you can act on. **Average Rating:** 4.4/5.0 **Total Reviews:** 24 **How Do G2 Users Rate SAS Visual Statistics?** - **Quality Control:** 7.5/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 8.8/10) - **Survival Analysis:** 7.9/10 (Category avg: 8.4/10) - **Data Sampling:** 7.9/10 (Category avg: 8.6/10) **Who Is the Company Behind SAS Visual Statistics?** - **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2) - **Year Founded:** 1976 - **HQ Location:** Cary, NC - **Twitter:** @SASsoftware (60,863 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,638 employees on LinkedIn®) - **Phone:** 1-800-727-0025 **Who Uses This Product?** - **Company Size:** 52% Enterprise, 32% Small-Business #### What Are SAS Visual Statistics's Pros and Cons? **Pros:** - Ease of Use (3 reviews) - Analytics (2 reviews) - Customer Support (2 reviews) - Machine Learning (2 reviews) - Reporting (2 reviews) **Cons:** - Expensive (3 reviews) - Learning Difficulty (2 reviews) - Cost (1 reviews) - Customization Difficulty (1 reviews) - Data Analysis Difficulty (1 reviews) ### What Do G2 Reviewers Say About SAS Visual Statistics? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of SAS Visual Statistics, benefiting from intuitive features without needing extensive training. - Users value the **automated analytics** of SAS Visual Statistics for reliable forecasting and easy data understanding. - Users appreciate the **proactive customer support** of SAS Visual Statistics, enhancing their overall experience with the product. - Users value the **fast processing and easy machine learning integration** of SAS Visual Statistics for advanced analytics. - Users appreciate the **simple and lucid reporting** of SAS Visual Statistics, making data interpretation straightforward. **Cons:** - Users find the **high licensing cost** of SAS Visual Statistics a major barrier to purchase and usage. - Users find **learning difficult** without prior SAS experience, limiting effective use and understanding of the tool. - Users are concerned about the **high licensing cost** and infrastructure requirements of SAS Visual Statistics. - Users indicate that **customization difficulty** hampers their overall satisfaction with SAS Visual Statistics. - Users find **data analysis difficult** with SAS Visual Statistics due to a lack of understanding of the underlying calculations. #### What Are Recent G2 Reviews of SAS Visual Statistics? **"[Best tool for performing large-scale statistical and machine learning computations!!](https://www.g2.com/survey_responses/sas-visual-statistics-review-10854678)"** **Rating:** 4.0/5.0 stars *— Verified User in Banking* [Read full review](https://www.g2.com/survey_responses/sas-visual-statistics-review-10854678) --- **"[Due to information about Statistics Techniques, Handling large data, coding learning](https://www.g2.com/survey_responses/sas-visual-statistics-review-10423820)"** **Rating:** 4.5/5.0 stars *— Rahul G.* [Read full review](https://www.g2.com/survey_responses/sas-visual-statistics-review-10423820) --- ### 16. [eviews](https://www.g2.com/products/eviews/reviews) EViews offers academic researchers, corporations, government agencies, and students access to statistical, forecasting, and modeling tools through an object-oriented interface. **Average Rating:** 4.2/5.0 **Total Reviews:** 111 **How Do G2 Users Rate eviews?** - **Quality Control:** 7.8/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 8.8/10) - **Survival Analysis:** 7.9/10 (Category avg: 8.4/10) - **Data Sampling:** 8.5/10 (Category avg: 8.6/10) **Who Is the Company Behind eviews?** - **Seller:** [S&P Global](https://www.g2.com/sellers/s-p-global) - **HQ Location:** New York, NY - **Twitter:** @SPGlobal (47,349 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2934/ (40,842 employees on LinkedIn®) - **Ownership:** NYSE: SPGI **Who Uses This Product?** - **Top Industries:** Higher Education, Financial Services - **Company Size:** 40% Small-Business, 40% Mid-Market #### What Are Recent G2 Reviews of eviews? **"[My Experience with Eviews](https://www.g2.com/survey_responses/eviews-review-8108274)"** **Rating:** 4.0/5.0 stars *— Maliha A.* [Read full review](https://www.g2.com/survey_responses/eviews-review-8108274) --- **"[Best statistical analysis tool](https://www.g2.com/survey_responses/eviews-review-7916000)"** **Rating:** 5.0/5.0 stars *— Mitanshu R.* [Read full review](https://www.g2.com/survey_responses/eviews-review-7916000) --- #### What Are G2 Users Discussing About eviews? - [What is eviews used for?](https://www.g2.com/discussions/what-is-eviews-used-for) - [How can I download EViews for free?](https://www.g2.com/discussions/how-can-i-download-eviews-for-free) - [Which is better EViews vs Stata?](https://www.g2.com/discussions/which-is-better-eviews-vs-stata) - [Why do we use EViews?](https://www.g2.com/discussions/why-do-we-use-eviews) - [What is EViews software used for?](https://www.g2.com/discussions/what-is-eviews-software-used-for) ### 17. [QI Macros SPC Add-in for Excel](https://www.g2.com/products/qi-macros-spc-add-in-for-excel/reviews) Affordable, easy to use add-in for Excel that creates Control Charts, Histograms, Pareto Charts, and more. Your data is already in Excel, shouldn't your SPC software be there too? QI Macros is an all-in-one toolkit used by quality and process improvement professionals for more than 20 years. In addition to drawing charts you can run Statistical Tests, create Fishbone Diagrams and Value Stream Maps, and perform complex analysis like Gage R&R and DOE. You'll save time and look like an expert! **Average Rating:** 4.5/5.0 **Total Reviews:** 28 **How Do G2 Users Rate QI Macros SPC Add-in for Excel?** - **Quality Control:** 8.5/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.8/10) - **Survival Analysis:** 8.4/10 (Category avg: 8.4/10) - **Data Sampling:** 8.7/10 (Category avg: 8.6/10) **Who Is the Company Behind QI Macros SPC Add-in for Excel?** - **Seller:** [KnowWare International](https://www.g2.com/sellers/knowware-international) - **Year Founded:** 2000 - **HQ Location:** Denver, Colorado - **LinkedIn® Page:** https://www.linkedin.com/company/knowware-international/ (3 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Accounting - **Company Size:** 61% Small-Business, 29% Mid-Market #### What Are Recent G2 Reviews of QI Macros SPC Add-in for Excel? **"[QI Macros helping make Excel a great Visualization Tool](https://www.g2.com/survey_responses/qi-macros-spc-add-in-for-excel-review-9811286)"** **Rating:** 5.0/5.0 stars *— Mithin M.* [Read full review](https://www.g2.com/survey_responses/qi-macros-spc-add-in-for-excel-review-9811286) --- **"[Review for QI Macros SPC Add-in for Excel](https://www.g2.com/survey_responses/qi-macros-spc-add-in-for-excel-review-9872857)"** **Rating:** 5.0/5.0 stars *— Harinathreddy L.* [Read full review](https://www.g2.com/survey_responses/qi-macros-spc-add-in-for-excel-review-9872857) --- ### 18. [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews) KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice. **Average Rating:** 4.5/5.0 **Total Reviews:** 89 **How Do G2 Users Rate KNIME?** - **Quality Control:** 8.4/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 8.8/10) - **Survival Analysis:** 8.5/10 (Category avg: 8.4/10) - **Data Sampling:** 8.8/10 (Category avg: 8.6/10) **Who Is the Company Behind KNIME?** - **Seller:** [KNIME](https://www.g2.com/sellers/knime) - **Company Website:** https://knime.com - **Year Founded:** 2008 - **HQ Location:** Zurich, Switzerland - **Twitter:** @knime (7,998 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/692207?trk=tyah&trkInfo=clickedVertical%3Acompany%2CclickedEntityId%3A692207%2Cidx%3A2-1-4%2CtarId%3A1454002156993%2Ctas%3Aknime (241 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Higher Education - **Company Size:** 43% Enterprise, 34% Mid-Market #### What Are KNIME's Pros and Cons? **Pros:** - Ease of Use (7 reviews) - Coding Ease (4 reviews) - Ease of Learning (4 reviews) - Learning (4 reviews) - Data Visualization (3 reviews) **Cons:** - Learning Difficulty (3 reviews) - Memory Usage (3 reviews) - Storage Limitations (3 reviews) - Data Management Issues (2 reviews) - Insufficient Learning Resources (2 reviews) ### What Do G2 Reviewers Say About KNIME? *AI-generated summary from verified user reviews* **Pros:** - Users find KNIME's **ease of use** remarkable, allowing non-technical individuals to create workflows effortlessly. - Users find KNIME's **coding ease** exceptional, allowing non-technical users to build workflows effortlessly. - Users find KNIME **easy to learn** , enabling quick delivery of workflows without needing extensive technical knowledge. - Users praise KNIME for its **easy learning curve** , enabling both beginners and experts to create powerful data solutions. - Users praise the **ease of data visualization** in KNIME, making it accessible for both beginners and experienced analysts. **Cons:** - Users face a **challenging learning curve** with KNIME, especially if they lack data science or visual programming experience. - Users experience **high memory consumption** issues with KNIME, causing slow performance and challenges in handling large files. - Users experience **storage limitations** due to high memory consumption, affecting performance with large files. - Users find **data management issues** significant, citing difficulties with file handling and reading from various databases. - Users find **insufficient learning resources** for KNIME, which hinders their ability to fully utilize the software. #### What Are Recent G2 Reviews of KNIME? **"[KNIME’s Free No-Code Drag-and-Drop Analytics, from Descriptive to Agentic AI](https://www.g2.com/survey_responses/knime-review-12992618)"** **Rating:** 5.0/5.0 stars *— Guylaine B.* [Read full review](https://www.g2.com/survey_responses/knime-review-12992618) --- **"[KNIME’s Visual Workflows - One of the best tool for Auditing, Accounting & Finance Professionals](https://www.g2.com/survey_responses/knime-review-12976842)"** **Rating:** 5.0/5.0 stars *— Charm M.* [Read full review](https://www.g2.com/survey_responses/knime-review-12976842) --- #### What Are G2 Users Discussing About KNIME? - [What is KNIME Analytics Platform used for?](https://www.g2.com/discussions/what-is-knime-analytics-platform-used-for) - [Is Knime easy to use?](https://www.g2.com/discussions/is-knime-easy-to-use) - 1 comment - [How do I use Knime Analytics?](https://www.g2.com/discussions/how-do-i-use-knime-analytics) - [Is Knime any good?](https://www.g2.com/discussions/is-knime-any-good) - [What is Knime analytics platform?](https://www.g2.com/discussions/what-is-knime-analytics-platform) ### 19. [Grapher](https://www.g2.com/products/grapher/reviews) Grapher™ is a full-function graphing application for scientists, engineers, and business professionals. With over 80 unique graph types, data is quickly transformed into knowledge. Virtually every aspect of the graph is customizable. Enhance your graph with legends, titles and labels, summation plots, graph magnifiers, and statistical reports. Grapher is used extensively by those who care deeply about the visual quality of their final plot. **Average Rating:** 4.5/5.0 **Total Reviews:** 113 **How Do G2 Users Rate Grapher?** - **Quality Control:** 8.3/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.8/10) - **Survival Analysis:** 8.3/10 (Category avg: 8.4/10) - **Data Sampling:** 7.5/10 (Category avg: 8.6/10) **Who Is the Company Behind Grapher?** - **Seller:** [Golden Software](https://www.g2.com/sellers/golden-software-617368ba-9788-4952-a993-5ff6ea2becfd) - **Year Founded:** 1983 - **HQ Location:** Golden, CO - **Twitter:** @GoldenSoftware1 (780 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2011794/ (32 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Research, Environmental Services - **Company Size:** 39% Enterprise, 33% Mid-Market #### What Are Recent G2 Reviews of Grapher? **"[An easy to use software to plot complex graphs](https://www.g2.com/survey_responses/grapher-review-8063141)"** **Rating:** 4.0/5.0 stars *— Ankit K.* [Read full review](https://www.g2.com/survey_responses/grapher-review-8063141) --- **"[Best Visualize Data Software](https://www.g2.com/survey_responses/grapher-review-8097200)"** **Rating:** 4.5/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/grapher-review-8097200) --- #### What Are G2 Users Discussing About Grapher? - [How has Grapher supported your data visualization needs, and what do you recommend for those considering it?](https://www.g2.com/discussions/how-has-grapher-supported-your-data-visualization-needs-and-what-do-you-recommend-for-those-considering-it) - [What is Grapher used for?](https://www.g2.com/discussions/grapher-what-is-grapher-used-for) - [How do you use 3d grapher on Mac?](https://www.g2.com/discussions/how-do-you-use-3d-grapher-on-mac) - [What is the best software for plotting graphs?](https://www.g2.com/discussions/what-is-the-best-software-for-plotting-graphs) - 1 comment - [How do you use Grapher software?](https://www.g2.com/discussions/how-do-you-use-grapher-software) ### 20. [Stata](https://www.g2.com/products/stata/reviews) The complete statistical software for data science. Stata delivers everything you need for reproducible data analysis—powerful statistics, visualization, data manipulation, and automated reporting—all in one intuitive platform. **Average Rating:** 4.3/5.0 **Total Reviews:** 163 **How Do G2 Users Rate Stata?** - **Quality Control:** 8.5/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.8/10) - **Survival Analysis:** 8.6/10 (Category avg: 8.4/10) - **Data Sampling:** 8.9/10 (Category avg: 8.6/10) **Who Is the Company Behind Stata?** - **Seller:** [StataCorp](https://www.g2.com/sellers/statacorp) - **Year Founded:** 1985 - **HQ Location:** College Station, TX - **Twitter:** @Stata (32,329 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/575050/ (138 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Analyst, Research Assistant - **Top Industries:** Higher Education, Research - **Company Size:** 42% Enterprise, 31% Mid-Market #### What Are Stata's Pros and Cons? **Pros:** - Coding Simplification (2 reviews) - Analytics Advancement (1 reviews) - Big Data Handling (1 reviews) - Data Management (1 reviews) - Ease of Installation (1 reviews) **Cons:** - Memory Usage (1 reviews) - Poor Customer Support (1 reviews) - Poor Graphics (1 reviews) ### What Do G2 Reviewers Say About Stata? *AI-generated summary from verified user reviews* **Pros:** - Users enjoy the **coding simplification** in Stata, making data analysis and management straightforward and flexible. - Users value the **ease of analyzing big data** with Stata's simple coding and diverse analytical methods. - Users value the **big data handling capabilities** of Stata, enjoying its simple coding and diverse analytical methods. - Users appreciate the **ease of use and flexibility** of Stata for effective data management and integration. - Users find Stata's **ease of installation** beneficial for seamless integration and daily data management tasks. **Cons:** - Users experience **high memory usage** during statistical analysis, which can affect overall performance and efficiency. - Users face **poor customer support** , which diminishes their overall satisfaction with Stata's functionality and usability. - Users find the **poor graphics** of Stata unappealing, detracting from their overall experience with the software. #### What Are Recent G2 Reviews of Stata? **"[Efficient and easy to use](https://www.g2.com/survey_responses/stata-review-10586953)"** **Rating:** 4.5/5.0 stars *— Verified User in Research* [Read full review](https://www.g2.com/survey_responses/stata-review-10586953) --- **"[STATA Review](https://www.g2.com/survey_responses/stata-review-10757201)"** **Rating:** 4.5/5.0 stars *— Verified User in Health, Wellness and Fitness* [Read full review](https://www.g2.com/survey_responses/stata-review-10757201) --- #### What Are G2 Users Discussing About Stata? - [What is Stata used for?](https://www.g2.com/discussions/what-is-stata-used-for) - 1 comment ### 21. [SAS Enterprise Miner](https://www.g2.com/products/sas-enterprise-miner/reviews) SAS Enterprise Miner is a comprehensive data mining and predictive analytics software designed to streamline the process of developing descriptive and predictive models. It enables users to analyze vast amounts of data efficiently, uncovering patterns and relationships that inform better decision-making. With an intuitive graphical user interface, SAS Enterprise Miner facilitates the entire data mining process, from data preparation to model assessment, making advanced analytics accessible to both technical and non-technical users. Key Features and Functionality: - User-Friendly Interface: An interactive GUI allows users to build process flow diagrams, simplifying the modeling process. - Advanced Data Preparation: Tools for handling missing values, filtering outliers, and performing data transformations enhance data quality. - Diverse Modeling Techniques: Supports a wide range of algorithms, including decision trees, neural networks, and regression models, catering to various analytical needs. - Open Source Integration: Seamless integration with R enables users to perform data transformations and model training within the platform. - High-Performance Capabilities: Incorporates high-performance data mining nodes to boost processing efficiency. - Automated Scoring: Generates score code in multiple languages (SAS, C, Java, PMML) for deployment across various environments. - Model Comparison and Management: Features for comparing multiple models using lift curves and statistical diagnostics to identify the best-performing models. Primary Value and Solutions Provided: SAS Enterprise Miner empowers organizations to harness the full potential of their data by providing a robust platform for developing accurate predictive models. It addresses challenges such as fraud detection, risk minimization, resource demand forecasting, and customer attrition reduction. By automating and simplifying complex data mining tasks, it enables users to make informed, data-driven decisions, ultimately enhancing operational efficiency and competitive advantage. **Average Rating:** 4.2/5.0 **Total Reviews:** 185 **How Do G2 Users Rate SAS Enterprise Miner?** - **Quality Control:** 7.8/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.8/10) - **Survival Analysis:** 8.1/10 (Category avg: 8.4/10) - **Data Sampling:** 7.2/10 (Category avg: 8.6/10) **Who Is the Company Behind SAS Enterprise Miner?** - **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2) - **Year Founded:** 1976 - **HQ Location:** Cary, NC - **Twitter:** @SASsoftware (60,863 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,638 employees on LinkedIn®) - **Phone:** 1-800-727-0025 **Who Uses This Product?** - **Top Industries:** Higher Education, Information Technology and Services - **Company Size:** 60% Enterprise, 28% Mid-Market #### What Are SAS Enterprise Miner's Pros and Cons? **Pros:** - Ease of Installation (1 reviews) - Ease of Use (1 reviews) - Statistical Analysis (1 reviews) **Cons:** - Learning Curve (1 reviews) - Not User-Friendly (1 reviews) - Steep Learning Curve (1 reviews) ### What Do G2 Reviewers Say About SAS Enterprise Miner? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of installation** for node-based analysis in SAS Enterprise Miner, enhancing their workflow efficiency. - Users appreciate the **ease of node-based analysis** in SAS Enterprise Miner, enhancing their data exploration experience. - Users praise the **ease of creating node-based analyses** in SAS Enterprise Miner, enhancing usability and efficiency. **Cons:** - Users find the **learning curve steep** for SAS Enterprise Miner, making it difficult for beginners to generate outputs. - Users find SAS Enterprise Miner to be **not user-friendly** , especially when generating output for other SAS products. - Users find the **steep learning curve** of SAS Enterprise Miner challenging, particularly when generating outputs to other SAS products. #### What Are Recent G2 Reviews of SAS Enterprise Miner? **"[Great Decision Trees That Deliver](https://www.g2.com/survey_responses/sas-enterprise-miner-review-12697539)"** **Rating:** 4.5/5.0 stars *— Rohan K.* [Read full review](https://www.g2.com/survey_responses/sas-enterprise-miner-review-12697539) --- **"[Excellent product for statistical analysis](https://www.g2.com/survey_responses/sas-enterprise-miner-review-11134264)"** **Rating:** 5.0/5.0 stars *— bobby x.* [Read full review](https://www.g2.com/survey_responses/sas-enterprise-miner-review-11134264) --- #### What Are G2 Users Discussing About SAS Enterprise Miner? - [Is SAS software dying?](https://www.g2.com/discussions/sas-advanced-analytics-is-sas-software-dying) - [Who uses SAS Enterprise Miner?](https://www.g2.com/discussions/who-uses-sas-enterprise-miner) - [What is SAS software used for?](https://www.g2.com/discussions/sas-advanced-analytics-what-is-sas-software-used-for) - [Is SAS Enterprise Miner useful?](https://www.g2.com/discussions/is-sas-enterprise-miner-useful) - [What is advanced analytics platform?](https://www.g2.com/discussions/what-is-advanced-analytics-platform) - 1 comment ### 22. [G*Power](https://www.g2.com/products/g-power/reviews) G\*Power is a tool to compute statistical power analyses for many different t tests, F tests, χ2 tests, z tests and some exact tests. G\*Power can also be used to compute effect sizes and to display graphically the results of power analyses. **Average Rating:** 4.7/5.0 **Total Reviews:** 10 **How Do G2 Users Rate G*Power?** - **Quality Control:** 9.2/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.8/10) - **Survival Analysis:** 8.3/10 (Category avg: 8.4/10) - **Data Sampling:** 8.9/10 (Category avg: 8.6/10) **Who Is the Company Behind G*Power?** - **Seller:** [University of D‚Äö√†o¬¨‚à´sseldorf](https://www.g2.com/sellers/university-of-d-ao-o-a-sseldorf) - **Year Founded:** 1965 - **HQ Location:** Düsseldorf, DE - **Twitter:** @HHU_de (8,162 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/15094013/ (3,885 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 40% Enterprise, 40% Small-Business #### What Are Recent G2 Reviews of G*Power? **"[Statistical calculations made simple, ultimate power analysis helper tool](https://www.g2.com/survey_responses/g-power-review-6867669)"** **Rating:** 4.5/5.0 stars *— Sachin V.* [Read full review](https://www.g2.com/survey_responses/g-power-review-6867669) --- **"[G power is user-friendly tool to calculate sample size](https://www.g2.com/survey_responses/g-power-review-7157837)"** **Rating:** 5.0/5.0 stars *— Verified User in Medical Practice* [Read full review](https://www.g2.com/survey_responses/g-power-review-7157837) --- #### What Are G2 Users Discussing About G*Power? - [Is Gpower free to download?](https://www.g2.com/discussions/is-gpower-free-to-download) - [Who created G*Power?](https://www.g2.com/discussions/who-created-g-power) - [How do I use G power?](https://www.g2.com/discussions/how-do-i-use-g-power) - [How much does G*Power Cost?](https://www.g2.com/discussions/how-much-does-g-power-cost) ### 23. [BlueSky Statistics](https://www.g2.com/products/bluesky-statistics/reviews) Fully featured Statistics application and development framework built on the open source R project Provides familiar powerful user interface available in mainstream statistical applications like SPSS, SAS etc. Unlocks the power of R for the analyst community by providing a rich GUI and output for several popular statistics, data mining, data manipulation and graphics commands, all out of the box... Provide a rich development framework for developing and deploying new statistical modules, applications or functions with rich graphical user interfaces and output, all through intuitive drag and drop user interfaces (No programming required). **Average Rating:** 4.5/5.0 **Total Reviews:** 13 **How Do G2 Users Rate BlueSky Statistics?** - **Quality Control:** 9.0/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.8/10) - **Survival Analysis:** 9.6/10 (Category avg: 8.4/10) - **Data Sampling:** 8.8/10 (Category avg: 8.6/10) **Who Is the Company Behind BlueSky Statistics?** - **Seller:** [BlueSky Statistics](https://www.g2.com/sellers/bluesky-statistics) - **Year Founded:** 2014 - **HQ Location:** Chicago, Illinois - **Twitter:** @BlueSky_Stat (45 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/blueskystatistics/ (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 62% Small-Business, 31% Mid-Market #### What Are Recent G2 Reviews of BlueSky Statistics? **"[Best application for entry level understanding of machine learning !](https://www.g2.com/survey_responses/bluesky-statistics-review-9561913)"** **Rating:** 5.0/5.0 stars *— Verified User in Consulting* [Read full review](https://www.g2.com/survey_responses/bluesky-statistics-review-9561913) --- **"[Best tool for predictive analytics for mid level data !](https://www.g2.com/survey_responses/bluesky-statistics-review-9601213)"** **Rating:** 5.0/5.0 stars *— Verified User in Consulting* [Read full review](https://www.g2.com/survey_responses/bluesky-statistics-review-9601213) --- ### 24. [nQuery](https://www.g2.com/products/nquery-sample-size-software/reviews) Design efficient, informative and ethical adaptive trials with nQuery. Use nQuery to minimize costs, reduce risks and boost efficiency in large-scale studies **Average Rating:** 4.8/5.0 **Total Reviews:** 11 **How Do G2 Users Rate nQuery?** - **Quality Control:** 10.0/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.8/10) - **Survival Analysis:** 10.0/10 (Category avg: 8.4/10) - **Data Sampling:** 8.3/10 (Category avg: 8.6/10) **Who Is the Company Behind nQuery?** - **Seller:** [StatSols](https://www.g2.com/sellers/statsols) - **Year Founded:** 1984 - **HQ Location:** Cork, IE - **Twitter:** @Statsols (950 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/206909/ (12 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 45% Mid-Market, 27% Enterprise #### What Are Recent G2 Reviews of nQuery? **"[Awesome product and great support](https://www.g2.com/survey_responses/nquery-review-4018676)"** **Rating:** 5.0/5.0 stars *— Jeff D.* [Read full review](https://www.g2.com/survey_responses/nquery-review-4018676) --- **"[Excellent tool for use in clinical research](https://www.g2.com/survey_responses/nquery-review-4057116)"** **Rating:** 4.5/5.0 stars *— Andreas B.* [Read full review](https://www.g2.com/survey_responses/nquery-review-4057116) --- ### 25. [ROOT](https://www.g2.com/products/root/reviews) ROOT is a modular scientific software framework that provides all the functionalities needed to deal with big data processing, statistical analysis, visualisation and storage, it is mainly written in C++ but integrated with other languages such as Python and R. **Average Rating:** 4.3/5.0 **Total Reviews:** 18 **How Do G2 Users Rate ROOT?** - **Quality Control:** 8.2/10 (Category avg: 8.3/10) - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.8/10) - **Survival Analysis:** 7.3/10 (Category avg: 8.4/10) - **Data Sampling:** 8.3/10 (Category avg: 8.6/10) **Who Is the Company Behind ROOT?** - **Seller:** [CERN](https://www.g2.com/sellers/cern) - **HQ Location:** N/A - **Twitter:** @ROOT_Project (840 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 56% Small-Business, 33% Mid-Market #### What Are Recent G2 Reviews of ROOT? **"[Root - No match analytical tool for Data Analytics and beyond](https://www.g2.com/survey_responses/root-review-8259984)"** **Rating:** 4.5/5.0 stars *— Rakesh S.* [Read full review](https://www.g2.com/survey_responses/root-review-8259984) --- **"[Root Overview](https://www.g2.com/survey_responses/root-review-8302444)"** **Rating:** 5.0/5.0 stars *— Sumit D.* [Read full review](https://www.g2.com/survey_responses/root-review-8302444) --- #### What Are G2 Users Discussing About ROOT? - [What is the best root software?](https://www.g2.com/discussions/root-what-is-the-best-root-software) - 1 comment - [What is the best root software?](https://www.g2.com/discussions/what-is-the-best-root-software) - [What is the advantage of rooted phone?](https://www.g2.com/discussions/root-what-is-the-advantage-of-rooted-phone) - [What is the advantage of rooted phone?](https://www.g2.com/discussions/what-is-the-advantage-of-rooted-phone) - [What does rooted device do?](https://www.g2.com/discussions/root-what-does-rooted-device-do) ## What Is Statistical Analysis Software? [Analytics Tools & Software](https://www.g2.com/categories/analytics-tools-software) ## What Software Categories Are Similar to Statistical Analysis Software? - [Data Visualization Tools](https://www.g2.com/categories/data-visualization-tools) - [Predictive Analytics Software](https://www.g2.com/categories/predictive-analytics) - [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) --- ## How Do You Choose the Right Statistical Analysis Software? ### What You Should Know About Statistical Analysis Software ### What is Statistical Analysis Software? Statistical analytics tools inform data-driven decisions, whether that be in a research or business context. Enterprises have started to recognize the importance of accessing and combining all business-critical data to get a better understanding of how a company performs. Connecting disparate systems to make data consumable is a complex process, but once done, businesses are enabled to utilize statistical analytics solutions along with other data analysis techniques. This helps them visualize and interpret the data in an easily digestible manner. A business cannot transform into a digitally native enterprise until it uses its data to make intelligent decisions. These data-driven decisions provide an important edge and help separate a business from its competitors.  Medium and large companies are facing unprecedented challenges when managing and analyzing data. Some of these challenges are the exponential growth of the volume of enterprise data and its increasing complexity caused by new technologies like social media and the internet of things (IoT). To address these challenges, companies need to gather and analyze large volumes of data, both structured and unstructured, from different sources. Companies need to find trends and patterns in historical data while identifying future opportunities and risks. They also cannot afford to spend a lot of time analyzing data which loses its relevance quickly. Advanced statistical procedures and visualization provide a robust, user-friendly, and integrated platform to understand business data and solve complex business and research problems. #### What Types of Statistical Analysis Software Exist? Statistical analysis comes in many different flavors with each type being appropriate or beneficial for different use cases. Although the methods are many, the ultimate goal of the analysis is broken into three types: descriptive, prescriptive, and predictive. Descriptive analysis simply looks at the data as it is, but does not refer to or recommend any future outcome. Prescriptive analysis uses historical data to recommend a particular outcome. Finally, predictive analysis uses historical data to predict future data or outcomes. Apart from these broad methods, statistical analysis software can perform the following types of analysis: **Regression analysis** This type of analysis allows for conducting various regression methods such as ordinary least squares (OLS), weighted least squares (WLS), or generalized linear model (GLM). **Predictive analytics** Predictive analytics mines and analyzes historical data patterns to predict future outcomes by extracting information from data sets to determine patterns and trends. Using a range of statistical analysis and algorithms, analysts use predictive analytics products to build decision models which business managers use to plan for the best possible outcome. **Survival analysis** This type of analysis allows for the evaluation of durations, events, and reliability in relation to statistical analysis. **Time series analysis** Time series analysis allows users to identify patterns within massive, continuous time series data sets to perform reporting, forecasting, and predictive analysis. **Bayesian analysis** This method of statistical inference allows one to combine prior information about a statistical parameter with evidence from information contained in a sample to guide the statistical inference process. **Decision trees** One common type of classification model is a decision tree. These models predict a number of possible outcomes based on a variety of inputs. For example, if a sales team builds $1 million in pipeline, they can close $100,000 in revenue, but if they build $10 million in pipeline, they should be able to close $1 million in revenue. ### What are the Common Features of Statistical Analysis Software? Statistical analysis tools allow users to mine and analyze structured or unstructured data. Through the process of analysis, data sets and visualizations are created from the compiled data. **Data preparation:** To analyze the data, it must be properly cleaned and should be of high quality. This preparation consists of deduplication, cleansing, and appending the data for statistical analysis. Not all analysis is achieved at the surface. Instead, robust statistical analysis tools mine data from databases and prepare it for analysis. **Data sampling:** Data sampling allows users to select samples of data for defined procedures. **Statistical modeling:** Statistical modeling involves creating a mathematical model that embodies a set of statistical assumptions concerning the creation of sample data which may be used to get a better idea about the makeup and distribution of the data. **Hypothesis testing:** Statistical analysis tools often provide hypothesis testing features to ensure the analysis is consistent with the data and correct based on predetermined factors. This helps the researcher, data scientist, or statistician evaluate the outcome based on their initial hypothesis. **Data visualization:** In addition to numerical inputs and outputs, statistical analysis software frequently allows the user to visualize results by means of graphs, charts, and reports. This not only helps the end user better understand them but also aids with communicating these results with the broader company. ### What are the Benefits of Statistical Analysis Software? Irrespective of the type of complex data manipulation or analysis being performed, statistical analysis tools enable statisticians or business professionals to find correlation, regression, analysis of variance, and more with ease. With these insights in hand, businesses can make sense of their data and make informed decisions based on it. These tools help identify duplicates and unusual cases that may arise during data cleaning and data curation and get detailed data analysis reports. **Manage large volumes of data:** Statistical analysis software gives one the ability to easily prepare, blend, and analyze company data using a repeatable workflow, then deploy and share analytics at scale for deeper insights. **Gain insight into company data:** Through data mining and statistical analysis, especially when coupled with other technology such as machine learning, data professionals are able to gain insights into data. **Better understand potential outcomes and scenarios:** With statistical analysis, especially of the predictive variety, businesses better understand how different variables will affect them and are able to plan accordingly. ### Who Uses Statistical Analysis Software? **Data analysts:** Depending on the complexity of the software, it is likely that analysts will be required. They can help set up the requisite queries, dashboards, and notebooks for other employees and teams. They can create complex queries inside the platforms to gather a deeper understanding of business-critical data. **Consultants:** Businesses do not always have the luxury to build, develop, and optimize their own analytics solutions. Some businesses opt to employ external consultants, such as [business intelligence (BI) consulting providers](https://www.g2.com/categories/business-intelligence-bi-consulting). These providers seek to understand a business and its goals, interpret data, and offer advice to ensure goals are met. BI consultants frequently have industry-specific knowledge alongside their technical backgrounds, with experience in healthcare, business, and other fields.  ### What are the Alternatives to Statistical Analysis Software? Alternatives to statistical analysis software can replace this type of software, either partially or completely: [Analytics platforms](https://www.g2.com/categories/analytics-platforms) **:** Analytics platforms might include statistical analysis, but are broader-focused tools that facilitate the following five elements: data preparation, data modeling, data blending, data visualization, and insights delivery. [Big data analytics software](https://www.g2.com/categories/big-data-analytics) **:** Big data analytics software connects to Hadoop or proprietary Hadoop distributions to better understand structured and unstructured data. These same data sources may be important for data scientists who are tasked with building predictive models. [Log analysis software](https://www.g2.com/categories/log-analysis): Businesses that are focused on log data might benefit from deploying log analysis software, which is used to analyze log data from applications and systems. It should be kept in mind that this software is much more limited in terms of data types and data sources to which it can be connected to. However, since log analysis software focuses on logs, it frequently provides more granular details around log-related data. [Stream analytics software](https://www.g2.com/categories/stream-analytics) **:** When one is looking for tools specifically geared toward analyzing data in real time, stream analytics software is a go-to solution. These tools help users analyze data in transfer through APIs, between applications, and more. This software can be helpful with IoT data, which one frequently wants to analyze in real time. [Predictive analytics software](https://www.g2.com/categories/predictive-analytics): Broad-purpose statistical analysis software allows businesses to conduct various forms of analysis, such as prescriptive, descriptive, and predictive. Businesses that are focused on looking at their past and present data to predict future outcomes can use predictive analytics software for a more fine-tuned solution.  [Text analysis software](https://www.g2.com/categories/text-analysis): Statistical analysis software is focused on structured or numerical data, allowing users to drill down and dig into numbers to inform business decisions. If the user is looking to focus on unstructured or text data, text analysis solutions are the best bet. These tools help users quickly understand and pull sentiment analysis, key phrases, themes, and other insights from unstructured text data. #### Software Related to Statistical Analysis Software Related solutions that can be used together with statistical analysis software include: [Data warehouse software](https://www.g2.com/categories/data-warehouse) **:** Most companies have a large number of disparate data sources, so to best integrate all their data, they implement a data warehouse. Data warehouses can house data from multiple databases and business applications, which allows BI and analytics tools to pull all company data from a single repository. This organization is critical to the quality of the data that is ingested by analytics software. [Data preparation software](https://www.g2.com/categories/data-preparation) **:** A key solution necessary for easy data analysis is a data preparation tool and other related data management tools. These solutions allow users to discover, combine, clean, and enrich data for simple analysis. Data preparation tools are often used by IT teams or data analysts tasked with using BI tools. Some BI platforms offer data preparation features, but businesses with a wide range of data sources often opt for a dedicated preparation tool. [Machine learning software](https://www.g2.com/categories/machine-learning) **:** Machine learning algorithms are a key component of building effective statistical models. Many machine learning algorithms are built to provide recommendations or suggestions which is particularly relevant for predictive analytics. ### Challenges with Statistical Analysis Software Software solutions can come with their own set of challenges.  **Need for skilled employees:** Statistical analysis software is not necessarily simple. Often, these tools require a dedicated administrator to help implement the solution and assist others with adoption. However, there is a shortage of skilled data scientists and analysts that are equipped to set up such solutions. Additionally, those same data scientists will be tasked with deriving actionable insights from within the data.  Without people skilled in these areas, businesses cannot effectively leverage the tools or their data. Even the self-service tools, which are to be used by the average business user, require someone to help deploy them. Companies can turn to vendor support teams or third-party consultants to assist if they are unable to bring someone in house. **Data organization:** To get the most of analytics solutions, that data needs to be organized. This means that databases should be set up correctly and integrated properly. This may require building a data warehouse, which can store data from a variety of applications and databases in a central location.  Businesses may need to purchase a dedicated [data preparation software](https://www.g2.com/categories/data-preparation) as well to ensure that data is joined and is clean for the analytics solution to consume in the right way. In the context of big data, a company might want to specifically consider big data processing and distribution software. This often requires a skilled data analyst, IT employee, or an outside consultant to help ensure data quality is at its finest for easy analysis. **User adoption:** It is not always easy to transform a business into a data-driven company. Particularly at more established companies that have done things the same way for years, it is not simple to force analytics tools upon employees, especially if there are ways for them to avoid it. If there are other options, such as spreadsheets or existing tools that employees can use instead of analytics software, they will most likely go that route. However, if managers and leaders ensure that analytics tools are a necessity in an employee’s day to day, then adoption rates will increase. ### Which Companies Should Buy Statistical Analysis Software? In the digital age, data is ubiquitous. Whether it is higher education or the healthcare industry, it is likely that a lot of data is involved. Statistical analysis software tools are typically used by data scientists and mathematicians, but it provides industry-specific features. These may be features tailored to scientific research, cost modeling, or health science. **Higher education:** Users from the higher education industry use statistical analysis tools to analyze data, obtain insights quickly, and find relevant trends in data. **Market research firms:** Researchers turn to statistical analysis to solve tough research problems. They are able to use these tools to dig into their research findings and find historical trends. With statistical analysis software, market researchers are enabled to handle a large volume of data in multiple formats. **Health care** : For health care professionals, time isn’t just money—it also means the difference between life and death. These workers look to statistical analysis tools to better understand health-related data and to improve efficiencies in hospitals, manage and contain diseases, and much more. ### How to Buy Statistical Analysis Software #### Requirements Gathering (RFI/RFP) for Statistical Analysis Software If a company is just starting out on their analytics journey, g2.com can help in selecting the best software for the particular company and use case. Since the particular solution might vary based on company size and industry, G2 is a great place to sort and filter reviews based on these criteria, along with many more. The variety, volume, and velocity of data are vast. Therefore, users should think about how the particular solution fits their particular needs, as well as their future needs as they accumulate more data.  To find the right solution, buyers should determine pain points and jot them down. These should be used to help create a checklist of criteria. Additionally, the buyer must determine the number of employees who will need to use this software, as this drives the number of licenses they are likely to buy. Taking a holistic overview of the business and identifying pain points can help the team springboard into creating a checklist of criteria. The checklist serves as a detailed guide that includes both necessary and nice-to-have features including budget, features, number of users, integrations, security requirements, cloud or on-premises solutions, and more. Depending on the scope of the deployment, it might be helpful to produce a request for information (RFI), a one-page list with a few bullet points describing what is needed from a statistical analysis software. #### Compare Statistical Analysis Software Products **Create a long list** From meeting the business functionality needs to implementation, vendor evaluations are an essential part of the software buying process. For ease of comparison after all demos are complete, it helps to prepare a consistent list of questions regarding specific needs and concerns to ask each vendor. **Create a short list** From the long list of vendors, it is helpful to narrow down the list of vendors and come up with a shorter list of contenders, preferably no more than three to five. With this list in hand, businesses can produce a matrix to compare the features and pricing of the various solutions. **Conduct demos** To ensure the comparison is thoroughgoing, the user should demo each solution on the shortlist with the same use case and data sets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition.  #### Selection of Statistical Analysis Software **Choose a selection team** As statistical analysis software is all about the data, the user must make sure that the selection process is data driven as well. The selection team should compare notes and facts and figures which they noted during the process, such as time to insight, number of visualizations, and availability of advanced analytics capabilities. **Negotiation** Just because something is written on a company’s pricing page, does not mean it is not negotiable (although some companies will not budge). It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to give a discount for multi-year contracts or for recommending the product to others. **Final decision** After this stage, and before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and well received, the buyer can be confident that the selection was correct. If not, it might be time to go back to the drawing board. ### What Does Statistical Analysis Software Cost? Businesses decide to deploy statistical analysis software with the goal of deriving some degree of a return on investment (ROI). #### Return on Investment (ROI) As they are looking to recoup their losses that they spent on the software, it is critical to understand the costs associated with it. This software is typically billed per user, which is sometimes tiered depending on the company size. More users will typically translate into more licenses, which means more money. Users must consider how much is spent and compare that to what is gained, both in terms of efficiency as well as revenue. Therefore, businesses can compare processes between pre- and post-deployment of the software to better understand how processes have been improved and how much time has been saved. They can even produce a case study (either for internal or external purposes) to demonstrate the gains they have seen from their use of the statistical analysis tool. ### Implementation of Statistical Analysis Software **How is Statistical Analysis Software Implemented?** Implementation differs drastically depending on the complexity and scale of the data. In organizations with vast amounts of data in disparate sources (e.g., applications, databases, etc.), it is often wise to utilize an external party, whether that be an implementation specialist from the vendor or a third-party consultancy. With vast experience, they can help businesses understand how to connect and consolidate their data sources and how to use the software efficiently and effectively. **Who is Responsible for Statistical Analysis Software Implementation?** It may require a lot of people, or many teams, to properly deploy an analytics platform. This is because data can cut across teams and functions. As a result, it is rare that one person or even one team has a full understanding of all of a company’s data assets. With a cross-functional team in place, a business can piece together its data and begin the journey of analytics, starting with proper data preparation and management. ### Statistical Analysis Software Trends **Self service** As with other types of analytics tools (such as analytics platforms), there is an increasing trend for software to be of the self-service nature. This means that non professionals should be able to use the tool easily with little to no IT support for setting it up. With drag-and-drop interfaces or highly customizable setups, average business users are being empowered by statistical analysis capabilities. **Augmented analytics** Artificial intelligence and machine learning are making inroads across most industries and business use cases, with statistics being no exception. With machine learning powering statistical analysis, users are able to discover data, determine the best type of analysis to deploy for a particular data set or problem, and more. With augmented analytics, analysts can get a better understanding of their data, allowing them to drill in and dive deeper into trends and patterns. For example, the software might alert the user to an anomaly in the data which they can look into in order to rectify the issue or inform relevant individuals about it. --- ## What Are the Most Common Questions About Statistical Analysis Software? *AI-generated · Last updated: June 3, 2026* ### Best practices for managing large datasets and complex statistical models for organizations evaluating solutions According to verified users, buyers evaluating statistical analysis software should look for platforms that keep data preparation, analysis, and reporting connected in one environment. Reviews repeatedly mention the value of handling large datasets without constant tool switching, using clear workflows for cleaning and transforming data, and supporting both code-driven and low-code analysis. Reviewers also point to strong visualization and reporting features that help teams share findings with stakeholders. At the same time, organizations should watch for setup complexity, slower performance on very large datasets, and a steeper learning curve when tools include many advanced options. The most appreciated products balance depth, usability, and dependable results. ### Ensuring statistical validity and preventing common analysis errors before committing to a multi-year vendor According to verified users, the strongest signals of statistical validity are reliable methods, reproducible workflows, and outputs that make results easier to verify. Reviewers value software that supports data cleaning, missing-value handling, regression and modeling workflows, and organized outputs such as tables, charts, and repeatable reports. Several reviews also highlight features that reduce manual work, because fewer handoffs and spreadsheet steps can mean fewer avoidable mistakes. Common risks mentioned in reviews include unclear error messages, confusing interfaces, hidden settings, and learning curves that make it easier for new users to misconfigure analyses. Buyers should favor products that help teams trace steps clearly from raw data through interpretation and reporting. ### Protecting data privacy and security in statistical analysis environments before committing to software a multi-year According to verified users, privacy and security matter most when analysis tools are used for regulated, confidential, or enterprise reporting workflows. Reviews reference needs such as governed environments, secure storage, compliance-sensitive reporting, controlled package management, and private handling of research or operational data. Buyers should look for software that keeps data access organized, supports centralized management, and reduces the need to move files across disconnected tools. Some reviewers also value cloud access when it remains structured and governed, while others prefer desktop or server-based options for tighter control over sensitive work. Across products, the main takeaway is that secure statistical analysis depends on controlled workflows, trusted outputs, and clear administration rather than analysis features alone. ### What are the most important features in Statistical Analysis Software According to verified users, the most important features in Statistical Analysis Software are strong data preparation, broad statistical methods, clear visualization, and efficient reporting. Reviewers repeatedly praise tools that make it easier to clean data, handle large datasets, run regression and predictive models, and generate charts or dashboards that stakeholders can understand. Many also value workflow flexibility, including point-and-click analysis, code support, automation, and integrations with languages like Python or R. For enterprise teams, collaboration, governance, and deployment support come up often. Across the category, buyers seem to favor products that combine analytical depth with approachable interfaces, because advanced capability matters most when teams can actually use it consistently. ### How does Statistical Analysis integrate with Python and R According to verified users, integration with Python and R is most valuable when it lets teams combine familiar open-source workflows with governed analysis, reporting, or deployment. Reviews mention products that support Python and R alongside native statistical tooling, helping teams work across data preparation, modeling, and visualization without constantly exporting between systems. Buyers also value this integration when it improves collaboration between coders and non-coders or helps fit analytics into existing enterprise environments. At the same time, some reviews note that open-source integration quality can vary, with occasional limits around libraries, connectors, or setup complexity. In practice, strong integration means fewer workflow breaks and easier movement from exploration to production-ready analysis.