# Best Enterprise Statistical Analysis Software

## How Many Statistical Analysis Software Products Does G2 Track?

**Total Products under this Category:** 88

### Category Stats (Aug 2026)

- **Average Rating:** 4.25/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** KNIME (+0.43%) - Among all products in this category, KNIME recorded the largest rating increase compared to last month

_Last updated: August 02, 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
- 88+ 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.

## G2 Grid® for Statistical Analysis Software
 ![G2 Grid® for Statistical Analysis Software plotting products by satisfaction and market presence](https://www.g2.com/categories/statistical-analysis/grids.png?focus%5B%5D=1327283&focus%5B%5D=4350&focus%5B%5D=95635&focus%5B%5D=482&focus%5B%5D=19720&focus%5B%5D=7124&focus%5B%5D=5221&focus%5B%5D=112424)

Highlighted products: SAS Viya, IBM SPSS Statistics, Minitab Statistical Software, Qualtrics Market Research, Base SAS, Posit Team, JMP, and OriginPro.

Underlying data: [Grid® JSON](https://www.g2.com/categories/statistical-analysis/grids.json?focus%5B%5D=sas-sas-viya&focus%5B%5D=ibm-spss-statistics&focus%5B%5D=minitab-statistical-software&focus%5B%5D=qualtrics-market-research&focus%5B%5D=base-sas&focus%5B%5D=posit-team&focus%5B%5D=jmp&focus%5B%5D=originpro&segment=enterprise)

**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_llm&secure%5Bcategory_id%5D=1789&secure%5Bchosen_at%5D=2026-08-02T13%3A31%3A00Z&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%2Fenterprise%3Fopen_modal_url%3D%252Fproducts%252Fqualtrics-strategy-research%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fstatistical-analysis%25252Fenterprise%2526source%253Dcategory&secure%5Btoken%5D=179dcc5a2853b9fe32dc2c051022fcc9e730041beca055bf72a895b317431c59&secure%5Burl%5D=https%3A%2F%2Fwww.sas.com%2Fgms%2Fredirect.jsp%3Fdetail%3DPLN73455_275629423&secure%5Burl_type%5D=custom_url)

### [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:** 774

#### 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:** www.sas.com
- **Year Founded:** 1976
- **HQ Location:** Cary, NC
- **Twitter:** @SASsoftware  
60,863 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=64db42c044af5bbad79bd9677a620a6c31a8ff1abf4e7b2a6f1d6ed9561d105d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1491%2F&secure%5Burl_type%5D=linkedin_company_website)  
18,638 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Student, Biostatistician
- **Top Industries:** Pharmaceuticals, Banking
- **Company Size:** 33% Large, 33% Small

#### What Do G2 Reviewers Say About SAS Viya?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of SAS Viya, which simplifies data visualization and enhances decision-making efficiency.
- Users value the **sophisticated analytical capabilities** of SAS Viya, enabling easy deployment and real-time decision-making.
- Users appreciate the **advanced analytical methods** offered by SAS Viya, enhancing decision-making and logistical data analysis capabilities.
- Users value the **end-to-end data lifecycle tooling** of SAS Viya, enhancing business insight and strategic decision-making.
- Users love the **intuitive interface** of SAS Viya, making data analysis and model deployment effortless for all skill levels.

##### Cons

- Users find SAS Viya to have a **learning difficulty** , making it challenging for non-technical individuals to navigate effectively.
- Users find the **learning curve steep** , making it challenging for non-technical users to navigate SAS Viya effectively.
- Users find the **visualization complexity** in SAS Viya challenging, particularly for non-technical users and beginners.
- Users struggle with the **difficult learning curve** of SAS Viya, particularly for new and non-technical users.
- Users find the **expensive pricing** of SAS Viya to be a significant barrier to entry for potential adoption.

#### What Are Recent G2 Reviews of SAS Viya?

**["Effective Data Analysis with SAS Viya"](https://www.g2.com/survey_responses/sas-viya-review-11872818)**

**Rating:** 4.5/5.0 stars

_— Fungai J._

[Read full review](https://www.g2.com/survey_responses/sas-viya-review-11872818)

**["SAS Viya: Powerful AI & Data Analysis with Seamless Integrations"](https://www.g2.com/survey_responses/sas-viya-review-11855145)**

**Rating:** 5.0/5.0 stars

_— Verified User in Hospital & Health Care_

[Read full review](https://www.g2.com/survey_responses/sas-viya-review-11855145)

#### 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

### [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:** www.ibm.com
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Research Assistant, Assistant Professor
- **Top Industries:** Higher Education, Research
- **Company Size:** 42% Large, 30% Medium

#### What Do G2 Reviewers Say About IBM SPSS Statistics?

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **user-friendly interface** of IBM SPSS Statistics, making complex analysis accessible for all backgrounds.
- Users appreciate the **user-friendly interface** of IBM SPSS Statistics, simplifying complex statistical analysis without coding requirements.
- Users value the **superior data management and cleaning capabilities** that enhance accuracy and reliability in analysis.
- Users value the **user-friendly interface** of IBM SPSS Statistics, making complex statistical tasks approachable and efficient.
- Users appreciate the **easy-to-understand analysis capabilities** of IBM SPSS Statistics, simplifying complex statistical tasks for effective research.

##### Cons

- Users find the **cost too high** , especially for small businesses needing effective data analysis solutions.
- Users find the **poor visualization** in SPSS Statistics hampers usability and complicates data interpretation for stakeholders.
- Users find the **learning curve steep** due to a lack of strong tutorials and complicated initial setup.
- Users find the **interface outdated** and often clunky, making it challenging for new learners to adapt.
- Users often experience **performance issues** with IBM SPSS Statistics, particularly when handling large datasets, impacting usability.

#### 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

### [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:** 220

#### 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:** www.minitab.com
- **Year Founded:** 1972
- **HQ Location:** State College, Pennsylvania, United States
- **Twitter:** @Minitab  
5,017 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=cb9bbbc84603b103c610db9cca13accdfdb6a18a954c1f68118a9aa45ae7e250&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F39142%2F&secure%5Burl_type%5D=linkedin_company_website)  
732 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Quality Manager
- **Top Industries:** Automotive, Manufacturing
- **Company Size:** 46% Large, 32% Medium

#### What Do G2 Reviewers Say About Minitab Statistical Software?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **ease of use** of Minitab, highlighting its intuitive interface and helpful resources for efficient analysis.
- Users praise Minitab for its **ease of use** , enhancing their overall data analysis experience significantly.
- Users value the **helpful guides and assistants** in Minitab, enhancing their data analysis experience significantly.
- Users value Minitab for its **comprehensive tools** that enhance data-driven decision-making in manufacturing and quality analysis.
- Users value Minitab's **robust analysis capabilities** , making statistical data processing straightforward and effective for decision-making.

##### Cons

- Users find the **licensing fees expensive** , especially when usage is intermittent and features are underutilized.
- Users find a **steep learning curve** with Minitab, highlighting the need for better training resources and usability improvements.
- Users find Minitab's **complexity** challenging due to issues with hidden variables and clunky data manipulation features.
- Users find Minitab’s interface **not user-friendly** , as confusing menus and outdated design hinder ease of use.
- Users face **data management issues** in Minitab, complicating analysis and requiring re-runs with updated datasets.

#### 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)

**["Minitab’s DOE Wizard Makes Complex Experiments Fast and Straightforward"](https://www.g2.com/survey_responses/minitab-statistical-software-review-13070943)**

**Rating:** 5.0/5.0 stars

_— Nikhil C._

[Read full review](https://www.g2.com/survey_responses/minitab-statistical-software-review-13070943)

#### 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)

### [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:** 2,913

#### 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:** www.qualtrics.com
- **Year Founded:** 2002
- **HQ Location:** Provo, UT
- **Twitter:** @Qualtrics  
42,137 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7d1ec005b3e09b6d51d9a439f06be24a872c533df3b3b8c47b5851a8358ecb22&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F314350%2F&secure%5Burl_type%5D=linkedin_company_website)  
6,231 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Student, Research Assistant
- **Top Industries:** Higher Education, Education Management
- **Company Size:** 45% Large, 34% Medium

#### What Do G2 Reviewers Say About Qualtrics Market Research?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Qualtrics Market Research to be **extremely user-friendly** , enabling quick and efficient survey creation and management.
- Users appreciate the **ease of survey creation** in Qualtrics, enjoying its workflow options and powerful features.
- Users value the **ease of building sophisticated surveys** with Qualtrics, benefiting from its versatile features and automation options.
- Users find Qualtrics Market Research to be **intuitive and user-friendly** , allowing for easy survey creation and data analysis.
- Users value the **ease of creation** in Qualtrics, enabling quick and intuitive survey development with diverse options.

##### Cons

- Users face **survey collaboration issues** with Qualtrics, as full control limits sharing and complicates feedback processes.
- Users find **survey limitations** frustrating, citing issues with interactivity, customization, and outdated features affecting engagement.
- Users find a **steep learning curve** in Qualtrics Market Research, making survey design and troubleshooting challenging.
- Users find the **limited customization** in Qualtrics CoreXM restricts their ability to tailor surveys effectively.
- Users find the **pricing issues** of Qualtrics Market Research concerning, feeling it's too expensive compared to alternatives.

#### What Are Recent G2 Reviews of Qualtrics Market Research?

**["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)

**["it's easy to learn if you are in the business of creating surveys or if it's part of your studies"](https://www.g2.com/survey_responses/qualtrics-market-research-review-7134832)**

**Rating:** 4.5/5.0 stars

_— Shivendra S._

[Read full review](https://www.g2.com/survey_responses/qualtrics-market-research-review-7134832)

#### 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

### [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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=64db42c044af5bbad79bd9677a620a6c31a8ff1abf4e7b2a6f1d6ed9561d105d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1491%2F&secure%5Burl_type%5D=linkedin_company_website)  
18,638 employees on LinkedIn®
- **Phone:** 1-800-727-0025

#### Who Uses This Product?

- **Top Industries:** Hospital & Health Care, Banking
- **Company Size:** 48% Large, 28% Small

#### What Do G2 Reviewers Say About Base SAS?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Base SAS **easy to use** , appreciating its simple coding and user-friendly functions for data manipulation.
- Users appreciate the **coding simplification** in Base SAS, finding it reliable and consistent over the years.
- Users find **learning Base SAS easy** , particularly appreciating its user-friendly interface and effective data management capabilities.
- Users value the **strong data management capabilities** of Base SAS, ensuring efficient handling and analysis of large datasets.
- Users highlight the **performance efficiency** of Base SAS, enabling effective management and analysis of large datasets.

##### Cons

- Users find the **complex setup and rigid syntax** of Base SAS challenging, especially for newcomers and dashboard creation.
- Users find **poor visualization** in Base SAS, with challenges in generating graphs and requiring user expertise.
- Users experience **slow performance** with Base SAS, making iteration and testing cumbersome, especially with large datasets.
- Users find the **learning difficulty** notable, requiring research and experience to effectively use Base SAS.
- Users find Base SAS **not user-friendly** , stating it requires extensive research and is challenging 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

### [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:** 567

#### 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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=291e2e1530a4de1dc8ce16ea96948375d8dd3891a186f3101d5f2b110c8b2509&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1978648%2F&secure%5Burl_type%5D=linkedin_company_website)  
448 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% Large, 26% Medium

#### What Do G2 Reviewers Say About Posit Team?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Posit to be **highly user-friendly** , enabling efficient analysis and simplifying integration with existing tools.
- Users appreciate Posit's **leadership in innovation** and seamless integration, enhancing their productivity and workflow efficiency.
- Users value Posit's **commitment to open source software** , enhancing accessibility and integration for R programming.
- Users value the **responsive customer support** of Posit Team, enhancing their experience with excellent guidance and assistance.
- Users appreciate the **easy integrations** of Posit Team, allowing seamless workflow and reducing setup complications.

##### Cons

- Users experience **slow performance** when handling large datasets, disrupting workflow and requiring significant system resources.
- Users experience a **steep learning curve** with Posit Team, making initial setup and advanced features challenging.
- Users experience **performance issues** with Posit, particularly when handling larger datasets and during high usage.
- Users face a **steep learning curve** with Posit Team, making initial setup and advanced features challenging for newcomers.
- Users experience **lagging performance** with Posit, particularly when handling large datasets, impacting overall productivity.

#### 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

### [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:** www.jmp.com
- **Year Founded:** 1989
- **HQ Location:** Cary, North Carolina
- **Twitter:** @JMP\_software  
2,760 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a5b238b47afaf2f1b9c83326d0e36000e3d522fbd70a573fbdb3bfb9a240495e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fjmp%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,031 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Student
- **Top Industries:** Higher Education, Information Technology and Services
- **Company Size:** 42% Large, 33% Small

#### What Do G2 Reviewers Say About JMP?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of JMP, allowing for simple data exploration and visualization without complicated coding.
- Users love the **easy and interactive data visualization** in JMP, making pattern recognition and analysis simple and efficient.
- Users appreciate the **ease of statistical analysis** in JMP, enabling seamless data exploration and trend visualization.
- Users praise JMP for its **easy data visualization** , allowing intuitive exploration and clear presentation of trends.
- Users appreciate the **intuitive and interactive interface** of JMP, enhancing data analysis and visualization experiences seamlessly.

##### Cons

- Users find JMP **expensive** , making it challenging for smaller users to justify its cost compared to alternatives.
- Users note a significant **learning curve** with JMP, making it challenging for beginners to navigate effectively.
- Users feel a **limited flexibility** in JMP, especially regarding integration and available models for analysis.
- Users find the **learning difficulty** significant due to an overwhelming interface and a steep learning curve for advanced features.
- Users find **limitations in storage** and model availability in JMP, hindering their multivariate analysis efforts.

#### 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

### [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:** 139

#### 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:** www.originlab.com
- **Year Founded:** 1992
- **HQ Location:** Northampton, MA
- **Twitter:** @OriginLab  
2,428 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4a424aa7166207d1261f874b87dd136f378f8aade212a96992f29b0ad7a673ae&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F205815%2F&secure%5Burl_type%5D=linkedin_company_website)  
34 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Research Scientist
- **Top Industries:** Research, Higher Education
- **Company Size:** 45% Large, 34% Small

#### What Do G2 Reviewers Say About OriginPro?

_AI-generated summary from verified user reviews_

##### Pros

- Users find OriginPro **easy to use** , appreciating its user-friendly interface and seamless data handling capabilities.
- Users appreciate the **versatility and comprehensive tools** of OriginPro, enhancing their data analysis and presentation efficiency.
- Users appreciate the **versatile data analysis capabilities** of OriginPro, enhancing their ability to interact with results dynamically.
- Users appreciate the **flexibility and professional graphics** of OriginPro, enhancing their data analysis and visualization experience.
- Users highlight the **dynamic visualization capabilities** of OriginPro, enhancing data interaction and presentation quality.

##### Cons

- Users mention a **steep learning curve** for OriginPro, with challenges in navigation and finding specific formatting resources.
- Users find that OriginPro has **not user-friendly features** , making column manipulation and overall use challenging.
- Users find the **complexity** of column manipulation and legacy menus to be challenging in OriginPro.
- Users find the **limited flexibility** of 3D plots and formulas restricts their efficiency in OriginPro.
- Users find the **column manipulation and features not very intuitive** , making the overall experience less user-friendly.

#### What Are Recent G2 Reviews of OriginPro?

**["Effortless Experimental Data Fitting with Built-In and Custom Models"](https://www.g2.com/survey_responses/originpro-review-13048169)**

**Rating:** 5.0/5.0 stars

_— Saira R._

[Read full review](https://www.g2.com/survey_responses/originpro-review-13048169)

**["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

### [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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=64db42c044af5bbad79bd9677a620a6c31a8ff1abf4e7b2a6f1d6ed9561d105d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1491%2F&secure%5Burl_type%5D=linkedin_company_website)  
18,638 employees on LinkedIn®
- **Phone:** 1-800-727-0025

#### Who Uses This Product?

- **Top Industries:** Research, Higher Education
- **Company Size:** 50% Large, 31% Medium

#### What Do G2 Reviewers Say About SAS/STAT?

_AI-generated summary from verified user reviews_

##### Cons

- Users find SAS/STAT has a **steep learning curve** , making it challenging for newcomers to navigate effectively.

#### 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)

### [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:** 102

#### 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?:** 8.5/10 (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:** knime.com
- **Year Founded:** 2008
- **HQ Location:** Zurich, Switzerland
- **Twitter:** @knime  
7,998 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f7a516bbe2dc4d0e292ed78e5e957b79bbec1dfe489fa8be92a344d651ca0810&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F692207%3Ftrk%3Dtyah%26trkInfo%3DclickedVertical%253Acompany%252CclickedEntityId%253A692207%252Cidx%253A2-1-4%252CtarId%253A1454002156993%252Ctas%253Aknime&secure%5Burl_type%5D=linkedin_company_website)  
244 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Higher Education
- **Company Size:** 41% Large, 34% Medium

#### What Do G2 Reviewers Say About KNIME?

_AI-generated summary from verified user reviews_

##### Pros

- Users find KNIME's **ease of use** exceptional, enabling non-technical individuals to create workflows effortlessly.
- Users value the **coding ease** of KNIME, allowing even non-coders to build complex workflows effortlessly.
- Users find KNIME's **ease of learning** beneficial, allowing beginners to start delivering results quickly.
- Users find KNIME to be a **powerful and easy-to-learn platform** , enabling effective data analysis and AI solution development.
- Users highlight the **effortless data visualization** capabilities of KNIME, making complex data accessible and easy to understand.

##### Cons

- Users find the **initial learning curve challenging** , especially for those new to data science and visual programming.
- Users experience significant **memory usage issues** with KNIME, leading to slow performance, especially with large files.
- Users report **storage limitations** with KNIME, facing memory availability issues that hinder performance with large files.
- Users note that **data management issues** persist in KNIME, particularly with file handling and database compatibility.
- Users feel the **lack of learning resources** hinders their ability to fully utilize KNIME's capabilities.

#### 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)

### [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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=3a6973c9f8d6bfe7e222c70e8d265acdbe29fd0d66a948d8545f9b05a1fc79fd&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2934%2F&secure%5Burl_type%5D=linkedin_company_website)  
40,842 employees on LinkedIn®
- **Ownership:** NYSE: SPGI

#### Who Uses This Product?

- **Top Industries:** Higher Education, Financial Services
- **Company Size:** 40% Medium, 40% Small

#### 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)

### [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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=becc994cec5d0338b19d8152aa35a386f60f90ac4a413f821c2552053c75af4e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F575050%2F&secure%5Burl_type%5D=linkedin_company_website)  
138 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Research Assistant, Analyst
- **Top Industries:** Higher Education, Research
- **Company Size:** 42% Large, 31% Medium

#### What Do G2 Reviewers Say About Stata?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **coding simplification** in Stata, finding it easy to use for data management and analysis.
- Users value the **advanced analytics capabilities** of Stata, enabling effortless analysis of large datasets with ease.
- Users value the **easy big data analysis** in Stata, benefitting from simple coding and diverse analytical methods.
- Users appreciate the **flexibility and ease of use** in Stata for effective data management and monitoring.
- Users find Stata's **ease of installation** beneficial, allowing for quick setup and smooth implementation for data management.

##### Cons

- Users note the **high memory usage** during statistical analysis, impacting performance and efficiency in Stata.
- Users find the **poor customer support** of Stata disappointing, impacting their overall experience with the product.
- Users find the **poor graphics** of Stata unappealing, which detracts from the overall user experience.

#### 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

### [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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=64db42c044af5bbad79bd9677a620a6c31a8ff1abf4e7b2a6f1d6ed9561d105d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1491%2F&secure%5Burl_type%5D=linkedin_company_website)  
18,638 employees on LinkedIn®
- **Phone:** 1-800-727-0025

#### Who Uses This Product?

- **Company Size:** 52% Large, 32% Small

#### What Do G2 Reviewers Say About SAS Visual Statistics?

_AI-generated summary from verified user reviews_

##### Pros

- Users highlight the **ease of use** of SAS Visual Statistics, appreciating its intuitive features and minimal training requirements.
- Users value the **automated analytics** features of SAS Visual Statistics for simplifying data prediction and forecasting tasks.
- Users appreciate the **proactive customer support** of SAS Visual Statistics, enhancing their experience with the product.
- Users value the **efficient machine learning capabilities** of SAS Visual Statistics, enhancing data analysis and predictive modeling.
- Users value the **simple and lucid reporting** capabilities, enhancing their data analysis experience with ease.

##### Cons

- Users frequently note the **high licensing costs** of SAS Visual Statistics, making it inaccessible for many potential buyers.
- Users find **learning difficult** without prior experience with SAS tools, limiting their ability to understand complex modeling processes.
- Users express concern over the **high licensing cost** and infrastructure needs, which may deter potential users.
- Users find the **customization difficulty** of SAS Visual Statistics challenging, impacting their overall user experience.
- Users find the **data analysis difficult** due to limited understanding of calculations and closed nature of SAS Visual Statistics.

#### 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)

### [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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c974cd07a0cb2c245e4728658ed23e0aa4dc1c3bbccc370f4163e6bf03367230&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2011794%2F&secure%5Burl_type%5D=linkedin_company_website)  
35 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Research, Environmental Services
- **Company Size:** 39% Large, 33% Medium

#### 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)

### [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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=64db42c044af5bbad79bd9677a620a6c31a8ff1abf4e7b2a6f1d6ed9561d105d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1491%2F&secure%5Burl_type%5D=linkedin_company_website)  
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% Large, 28% Medium

#### What Do G2 Reviewers Say About SAS Enterprise Miner?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of installation** with SAS Enterprise Miner, simplifying the setup for node-based analysis.
- Users appreciate the **ease of creating node-based analyses** in SAS Enterprise Miner, enhancing their analytical workflows.
- Users value the **ease of creating node-based analyses** in SAS Enterprise Miner, enhancing their analytical experience.

##### Cons

- Users find **the learning curve steep** , especially when generating output for other SAS products as beginners.
- Users find that generating output from SAS Enterprise Miner can be **challenging for inexperienced users** , impacting usability.
- Users find the **steep learning curve** of SAS Enterprise Miner daunting, particularly when generating output to other 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

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- [Visitor Behavior Intelligence](/categories/visitor-behavior-intelligence)

[Browse Statistical Analysis Themes](/categories/statistical-analysis/themes)

 ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry")
BB

Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)

Updated 

Products classified in the overall Statistical Analysis category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business Statistical Analysis to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business Statistical Analysis category.

In addition to qualifying for inclusion in the Statistical Analysis Software category, to qualify for inclusion in the Enterprise Business Statistical Analysis Software category, a product must have at least 10 reviews left by a reviewer from an enterprise business.

Top Tools at a Glance

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Clinical trial analytics with low-code automation

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User Review

"Effective Data Analysis with SAS Viya"

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Survey data analysis without coding knowledge

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User Review

"Efficient, Reliable Statistical Analysis with an Approachable UI in IBM SPSS Statistics"

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DOE and process capability in manufacturing

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User Review

"Audit-Ready Trend Analysis and Clear Statistical Outputs for APQR"

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Legacy SAS code execution for regulated submissions

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User Review

"Perfect for Independent Consultants with Ease of Use"

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Reproducible R and Python data science workflows

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User Review

"Posit Team Makes Biostatistical Work Reproducible, Collaborative, and Secure"

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Survey-to-insight workflows with integrated distribution and dashboards

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User Review

"Very useful for Wellness Surveys, Feedback Collection and Research Work"

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Visual ML workflows without coding

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User Review

"My Honest Thoughts on Orange"

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Publication-ready graphing with spectroscopic curve fitting

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User Review

"Effortless Experimental Data Fitting with Built-In and Custom Models"

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Market intelligence synthesis across international industries

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User Review

"Excellent Resource for Advertising Insights"

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Interactive DOE and visual exploratory analysis

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User Review

"JMP Software: Good Tool, Few Downsides"

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## 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.