# Best Predictive Analytics Tools and Software

## How Many Predictive Analytics Software Products Does G2 Track?

**Total Products under this Category:** 299

### Category Stats (Jul 2026)

- **Average Rating:** 4.44/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Logility Solutions (+0.68%) - Among all products in this category, Logility Solutions recorded the largest rating increase compared to last month

_Last updated: July 25, 2026_

## How Does G2 Rank Predictive Analytics Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 31,800+ Authentic Reviews
- 299+ 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 Predictive Analytics Software
 ![G2 Grid® for Predictive Analytics Software plotting products by satisfaction and market presence](https://www.g2.com/categories/predictive-analytics/grids.png?focus%5B%5D=1213&focus%5B%5D=7788&focus%5B%5D=1327283&focus%5B%5D=6073&focus%5B%5D=3558&focus%5B%5D=612&focus%5B%5D=20158&focus%5B%5D=4350)

Highlighted products: Tableau, Clari, SAS Viya, Google Cloud BigQuery, Adobe Analytics, IBM Cognos Analytics, Amazon QuickSight, and IBM SPSS Statistics.

Underlying data: [Grid® JSON](https://www.g2.com/categories/predictive-analytics/grids.json?focus%5B%5D=tableau&focus%5B%5D=clari&focus%5B%5D=sas-sas-viya&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=adobe-analytics&focus%5B%5D=ibm-cognos-analytics&focus%5B%5D=amazon-quicksight&focus%5B%5D=ibm-spss-statistics)

**Sponsored**

### KNIME

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.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=499&secure%5Bchosen_at%5D=2026-07-30T03%3A39%3A15Z&secure%5Bdisplayable_resource_id%5D=499&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=499&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=16291&secure%5Bresource_id%5D=499&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fpredictive-analytics&secure%5Btoken%5D=69cfb6b05cc18422c0172e55b3eecaf6122b2abdc4aa55b44ca2080bd1db2fa5&secure%5Burl%5D=https%3A%2F%2Fwww.knime.com%2Flp%2Fdemo%3Futm_medium%3D3rd-party%26utm_source%3DG2%26utm_campaign%3Dbrand%26utm_term%3Dpaid%26utm_content%3D&secure%5Burl_type%5D=custom_url)

### [Tableau](https://www.g2.com/products/tableau/reviews)

Tableau is the world’s leading AI-powered analytics platform. Whether you are a business user or an analyst, Tableau turns trusted data into actionable insights. With our flexible, interoperable platform, you can: Turn data into action at scale with human and agent collaboration. Tableau Next delivers agentic AI for faster data-insight-action workflows. It surfaces insights, provides proactive recommendations, and helps you take action in the flow of work. Scale data-driven insights with complete operational confidence. Tableau Cloud enables fully managed analytics at scale. It accelerates your time to value and gives you access to the latest AI-powered innovations. Deploy visual, self-service analytics with unmatched control and flexibility. Tableau Server meets your organization's governance and security needs. It provides enterprise-grade, self-service analytics on-premise or in your private cloud.

**Average Rating:** 4.4/5.0

**Total Reviews:** 3,677

#### How Do G2 Users Rate Tableau?

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10)
- **AI Text Summarization:** 8.0/10 (Category avg: 8.1/10)
- **Algorithms:** 8.4/10 (Category avg: 8.5/10)
- **AI Text Generation:** 8.0/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Tableau?

- **Seller:** [Salesforce](https://www.g2.com/sellers/salesforce)
- **Company Website:** www.salesforce.com
- **Year Founded:** 1999
- **HQ Location:** San Francisco, CA
- **Twitter:** @salesforce  
579,511 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c04f36289ca03aeff007197f1d9e74e925e328ed6bcfaff98911c78b3ab382f7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3185%2F&secure%5Burl_type%5D=linkedin_company_website)  
83,223 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Business Analyst
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 41% Large, 36% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find Tableau's **ease of use** essential for creating interactive dashboards without heavy coding or complex setups.
- Users value Tableau's **data visualization capabilities** , enabling the creation of interactive, clear dashboards that enhance decision-making.
- Users love Tableau for its **powerful visualization capabilities** , enabling clear, interactive dashboards and real-time data insights.
- Users value the **interactive dashboards** of Tableau, enhancing data visualization and simplifying complex reporting tasks seamlessly.
- Users love Tableau's **intuitive interface** , making complex data visualization and dashboard creation easy and accessible.

##### Cons

- Users find the **learning curve steep** , making it challenging to fully integrate Tableau with Salesforce and MS products.
- Users face a **steep learning curve** with Tableau, making it challenging for new users to become proficient.
- Users report that the **high licensing cost** of Tableau can be a significant barrier, especially for smaller teams.
- Users report **slow performance** with large datasets, impacting their experience and efficiency in Tableau.
- Users find Tableau's **onboarding and complexity** challenging, making it tougher to transition from simpler tools like MS products.

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

**["Clear data means quick decisions."](https://www.g2.com/survey_responses/tableau-review-13124621)**

**Rating:** 4.5/5.0 stars

_— Libia B._

[Read full review](https://www.g2.com/survey_responses/tableau-review-13124621)

**["Turning Complex Data into Actionable Insights"](https://www.g2.com/survey_responses/tableau-review-13075232)**

**Rating:** 5.0/5.0 stars

_— Murtuza L._

[Read full review](https://www.g2.com/survey_responses/tableau-review-13075232)

#### What Are G2 Users Discussing About Tableau?

- [How are business intelligence professionals using Tableau's latest visualization tools to interpret complex data sets?](https://www.g2.com/discussions/how-are-business-intelligence-professionals-using-tableau-s-latest-visualization-tools-to-interpret-complex-data-sets) - 2 comments
- [What is Salesforce CRM Analytics (formerly Tableau CRM) used for?](https://www.g2.com/discussions/what-is-salesforce-crm-analytics-formerly-tableau-crm-used-for)
- [Do I need Tableau Desktop if I have Tableau Server?](https://www.g2.com/discussions/tableau-do-i-need-tableau-desktop-if-i-have-tableau-server) - 2 comments
- [Do I need Tableau Desktop if I have Tableau Server?](https://www.g2.com/discussions/do-i-need-tableau-desktop-if-i-have-tableau-server) - 2 comments
- [What's New in Tableau Server?](https://www.g2.com/discussions/what-s-new-in-tableau-server) - 1 comment

### [Clari](https://www.g2.com/products/clari/reviews)

Clari+Salesloft is a category-transforming AI company architecting the future of revenue. By building the world’s first Predictive Revenue System, we help organizations move beyond fragmented applications and systems of record to a model that continuously drives and adapts revenue execution. Our platform captures deal data signals, and uses tailor-built AI to create the right context and drive action across sales teams. Instead of disconnected insights and siloed workflows, sales teams operate with shared understanding, faster decisions, and execution that stays aligned to the business. Trusted by thousands of enterprises including Adobe, 3M, IBM, and Zoom, Clari+Salesloft powers the forecast, surfaces pipeline risk, and drives proactive execution—returning thousands of hours to the field and enabling predictable, scalable growth.

**Average Rating:** 4.6/5.0

**Total Reviews:** 5,503

#### How Do G2 Users Rate Clari?

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.9/10)
- **Algorithms:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Clari?

- **Seller:** [Salesloft](https://www.g2.com/sellers/salesloft)
- **Year Founded:** 2011
- **HQ Location:** Atlanta, GA
- **Twitter:** @Salesloft  
18,437 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1c72bf0f0f6a02380b7fe128396fa033291b10b85b3fc210dd4659ed9b53b1e3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2296178%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,097 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Account Executive, Account Manager
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 47% Medium, 41% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** in Clari for forecasting, appreciating its intuitive interface and seamless updates.
- Users appreciate the **ease of use** in Clari's Forecasting, allowing quick updates and excellent tracking against quotas.
- Users appreciate Clari for its **real-time updates and seamless Salesforce integration** , enhancing workflow efficiency and visibility in sales opportunities.
- Users find the **Salesforce integration** invaluable for streamlined data management and enhanced forecasting capabilities within Clari.
- Users find Clari **incredibly helpful** for easy forecasting and effective revenue management, simplifying admin tasks significantly.

##### Cons

- Users experience **customization limitations** with Clari, making it difficult to meet unique business needs effectively.
- Users find **limited customization** in Clari, hindering tailored solutions for unique business needs and team insights.
- Users experience a **steep learning curve** with Clari due to initial configuration and a confusing UI layout.
- Users find **missing features** in Clari, with limitations in filtering, customization, and mobile app functionality affecting their experience.
- Users experience **inconsistent Salesforce data reflection** in Clari, leading to confusion and potential errors in reporting.

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

**["Clari has met and exceed our expectations for our GTM Oganization"](https://www.g2.com/survey_responses/clari-review-10775002)**

**Rating:** 4.0/5.0 stars

_— Eric M._

[Read full review](https://www.g2.com/survey_responses/clari-review-10775002)

**["Clari Platform Review from a RevOps Perspective"](https://www.g2.com/survey_responses/clari-review-12400239)**

**Rating:** 5.0/5.0 stars

_— Matt D._

[Read full review](https://www.g2.com/survey_responses/clari-review-12400239)

#### What Are G2 Users Discussing About Clari?

- [How does Groove's integration with Clari enhance sales and revenue operations?](https://www.g2.com/discussions/how-does-groove-s-integration-with-clari-enhance-sales-and-revenue-operations) - 1 comment
- [How is Groove, a Clari Company being used to enhance operational efficiency and user experience in its specific field?](https://www.g2.com/discussions/how-is-groove-a-clari-company-being-used-to-enhance-operational-efficiency-and-user-experience-in-its-specific-field)
- [How do I add groove to Gmail?](https://www.g2.com/discussions/how-do-i-add-groove-to-gmail) - 1 comment
- [How much does groove cost?](https://www.g2.com/discussions/how-much-does-groove-cost) - 1 comment, 1 upvote
- [What groove means in music?](https://www.g2.com/discussions/what-groove-means-in-music) - 7 comments

### [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:** 773

#### How Do G2 Users Rate SAS Viya?

- **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 8.9/10)
- **AI Text Summarization:** 6.7/10 (Category avg: 8.1/10)
- **Algorithms:** 8.6/10 (Category avg: 8.5/10)
- **AI Text Generation:** 6.3/10 (Category avg: 8.1/10)

#### 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

### [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)

BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.

**Average Rating:** 4.5/5.0

**Total Reviews:** 1,144

#### How Do G2 Users Rate Google Cloud BigQuery?

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10)
- **AI Text Summarization:** 7.6/10 (Category avg: 8.1/10)
- **Algorithms:** 8.8/10 (Category avg: 8.5/10)
- **AI Text Generation:** 7.4/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Google Cloud BigQuery?

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 employees on LinkedIn®
- **Ownership:** NASDAQ:GOOG

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Data Analyst
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 38% Large, 35% Medium

#### What Do G2 Reviewers Say About Google Cloud BigQuery?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Google Cloud BigQuery, enabling quick analysis of massive datasets without hassle.
- Users appreciate the **exceptional speed** of BigQuery, allowing for quick processing of large datasets seamlessly.
- Users love the **easy integration** with Google Cloud services, enabling smooth data analysis and management.
- Users appreciate the **fast querying capabilities** of Google Cloud BigQuery, allowing effortless analysis of massive datasets.
- Users appreciate the **query efficiency** of BigQuery, effortlessly processing complex queries on massive datasets with speed.

##### Cons

- Users find the **costs can escalate quickly** with Google Cloud BigQuery, requiring careful query optimization to manage expenses.
- Users struggle with **query issues** in BigQuery, facing rising costs and challenges in query optimization and troubleshooting.
- Users find **cost management challenging** with Google Cloud BigQuery due to unpredictable pricing and incidents of unexpected charges.
- Users experience **cost issues** with Google Cloud BigQuery, struggling with unexpected high bills and limited pricing visibility.
- Users find the **steep learning curve** of Google Cloud BigQuery challenging, particularly for advanced features and optimization techniques.

#### What Are Recent G2 Reviews of Google Cloud BigQuery?

**["Easy-to-Use Cloud Tool with Shareable, Saved Queries"](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)**

**Rating:** 4.0/5.0 stars

_— Reetika P._

[Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)

**["Scalable, Secure BigQuery That Connects Seamlessly Across Services"](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12638747)**

**Rating:** 5.0/5.0 stars

_— Aayush M._

[Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12638747)

#### What Are G2 Users Discussing About Google Cloud BigQuery?

- [Is Big Query free?](https://www.g2.com/discussions/is-big-query-free) - 3 comments, 1 upvote
- [Is BigQuery part of Google Cloud Platform?](https://www.g2.com/discussions/is-bigquery-part-of-google-cloud-platform) - 2 comments, 2 upvotes
- [What is Google BigQuery based on?](https://www.g2.com/discussions/what-is-google-bigquery-based-on) - 1 comment
- [What is Google BigQuery used for?](https://www.g2.com/discussions/what-is-google-bigquery-used-for) - 1 comment

### [Adobe Analytics](https://www.g2.com/products/adobe-analytics/reviews)

Adobe Analytics empowers marketing, product, and business teams with insights to understand their customers and the journeys they take across digital channels, products, content, and services. From digital data collection and relational clickstream processing to in-depth analysis, and reporting, Adobe Analytics helps you understand visitor engagement across your digital properties — making it possible to optimize digital marketing strategies, improve user experience, and drive business growth. Features: - Collect and ingest behavioral data in real-time from your web and mobile channels. - Automatically convert raw data for unlimited analysis to discover customer patterns, spot anomalies, identify friction in your digital experiences, and uncover insights from digital journeys. - Equip marketers and analysts with AI capabilities that speed through analyses so they can quickly and confidently generate insights to improve the digital experience. - Integrate and share insights, segments, and outputs from your data across other business applications.

**Average Rating:** 4.2/5.0

**Total Reviews:** 1,174

#### How Do G2 Users Rate Adobe Analytics?

- **Has the product been a good partner in doing business?:** 8.0/10 (Category avg: 8.9/10)
- **AI Text Summarization:** 9.1/10 (Category avg: 8.1/10)
- **Algorithms:** 8.6/10 (Category avg: 8.5/10)
- **AI Text Generation:** 8.8/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Adobe Analytics?

- **Seller:** [Adobe](https://www.g2.com/sellers/adobe)
- **Company Website:** adobe.com
- **Year Founded:** 1982
- **HQ Location:** San Jose, CA
- **Twitter:** @Adobe  
956,842 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4bd838466d461c6fe81e09c861e82adaaf56d5a567f856b855f9808677f90560&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1480%2F&secure%5Burl_type%5D=linkedin_company_website)  
42,087 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Analyst
- **Top Industries:** Marketing and Advertising, Information Technology and Services
- **Company Size:** 43% Large, 30% Medium

#### What Do G2 Reviewers Say About Adobe Analytics?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **advanced segmentation and customizable dashboards** of Adobe Analytics, enhancing data analysis and visualization capabilities.
- Users commend **advanced segmentation and customizable dashboards** in Adobe Analytics for simplifying complex data analysis and visualization.
- Users value the **ease of use** of Adobe Analytics, enabling effective data analysis and seamless integration with other systems.
- Users appreciate the **customized reporting and comprehensive data analysis** features of Adobe Analytics for informed decision-making.
- Users value the **detailed and customizable reporting** in Adobe Analytics, facilitating informed decisions and optimizing strategies effectively.

##### Cons

- Users find a **steep learning curve** , requiring dedicated technical staff and creating bottlenecks in data tracking.
- Users highlight a **steep learning curve** requiring significant training, complicating onboarding for new users and casual observers.
- Users find the **high cost** of Adobe Analytics to be prohibitive, especially for smaller teams.
- Users experience **slow performance** with Adobe Analytics, facing delays in data updates and report generation, affecting efficiency.
- Users often find Adobe Analytics' **interface and reporting setup complex** , making it challenging for new users to extract insights quickly.

#### What Are Recent G2 Reviews of Adobe Analytics?

**["Adobe Analytics Turns User Data Into Actionable Insights"](https://www.g2.com/survey_responses/adobe-analytics-review-13164783)**

**Rating:** 4.5/5.0 stars

_— Hiten M._

[Read full review](https://www.g2.com/survey_responses/adobe-analytics-review-13164783)

**["Analysis Workspace Makes Deep-Dive Exploration in Adobe Analytics Effortless"](https://www.g2.com/survey_responses/adobe-analytics-review-13175336)**

**Rating:** 4.5/5.0 stars

_— Verified User in Information Technology and Services_

[Read full review](https://www.g2.com/survey_responses/adobe-analytics-review-13175336)

#### What Are G2 Users Discussing About Adobe Analytics?

- [What is Adobe Analytics used for?](https://www.g2.com/discussions/what-is-adobe-analytics-used-for) - 2 comments

### [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews)

IBM Cognos Analytics is a business intelligence and analytics solution that uses agentic AI to help teams transform trusted data into actionable insights, build governed analytical applications, and make better decisions. Teams can explore data, monitor KPIs, analyze performance, forecast trends, and share insights across the business. The solution is built for business leaders, analysts, report authors, IT teams, and data governance teams that need governed reporting, self-service analytics, data modeling, and flexible deployment options. Common use cases include enterprise reporting, operational reporting, financial reporting, dashboarding, performance management, forecasting, and governed self-service analytics. It supports both centralized BI teams and distributed users who need consistent access to trusted analytics. Key capabilities: 1. Create governed reports and dashboards: Build, schedule, distribute, and manage reports, dashboards, and visualizations for teams, executives, and stakeholders. Support routine reporting, business reviews, and purpose-built analytical applications with consistent information. 2. Explore data with control: Use self-service analytics, certified data models, governed metrics, access controls, and auditability to keep reporting consistent across teams and departments. 3. Analyze and forecast faster: Use natural-language assistance, automated insights, and forecasting to help users understand data faster in supported versions and deployments. 4. Put Reporting Agents to work: Use agentic AI capabilities in supported versions and deployments to find reports, summarize results, share insights, and create or refine reports using natural language. 5. Deploy where the business needs it: Run Cognos Analytics in on-premises, IBM-hosted, hybrid, or certified container environments to align with infrastructure, security, and governance requirements. Cognos Analytics helps organizations reduce repetitive reporting work, improve consistency across metrics and dashboards, and make governed data analytics easier to access across the business.

**Average Rating:** 4.1/5.0

**Total Reviews:** 438

#### How Do G2 Users Rate IBM Cognos Analytics?

- **Has the product been a good partner in doing business?:** 7.8/10 (Category avg: 8.9/10)
- **AI Text Summarization:** 8.0/10 (Category avg: 8.1/10)
- **Algorithms:** 8.6/10 (Category avg: 8.5/10)
- **AI Text Generation:** 7.9/10 (Category avg: 8.1/10)

#### Who Is the Company Behind IBM Cognos Analytics?

- **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:** Software Engineer, Analyst
- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 57% Large, 26% Medium

#### What Do G2 Reviewers Say About IBM Cognos Analytics?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of IBM Cognos Analytics, enjoying intuitive features for reporting and analysis.
- Users appreciate the **quick and easy report generation** capabilities of IBM Cognos Analytics, enhancing their data analysis experience.
- Users appreciate the **in-depth adaptable dashboards** of IBM Cognos Analytics for generating insightful reports and visuals.
- Users value the **effortless data visualization** of IBM Cognos Analytics, enhancing understanding through engaging and adaptable dashboards.
- Users value the **intuitive user interface** of IBM Cognos Analytics, enhancing data comprehension and report creation efforts.

##### Cons

- Users find the **learning curve steep** , making initial navigation and integration with other software challenging.
- Users find the **learning difficulty** of IBM Cognos Analytics challenging, requiring substantial training and patience for effective use.
- Users experience **slow performance** with IBM Cognos Analytics, especially with complex reports and large data sets.
- Users find the **complexity** of building reports in IBM Cognos Analytics a significant barrier due to steep learning curves.
- Users find the **complex usage** of IBM Cognos Analytics challenging, particularly for new users navigating advanced features.

#### What Are Recent G2 Reviews of IBM Cognos Analytics?

**["Powerful, Scalable Analytics with Interactive Dashboards and Strong Governance"](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12770018)**

**Rating:** 4.0/5.0 stars

_— Arkajit D._

[Read full review](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12770018)

**["Powerful Reporting, Less Modern Interface"](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-13048146)**

**Rating:** 4.0/5.0 stars

_— Nunna H._

[Read full review](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-13048146)

#### What Are G2 Users Discussing About IBM Cognos Analytics?

- [What is IBM Cognos Analytics with Watson used for?](https://www.g2.com/discussions/what-is-ibm-cognos-analytics-with-watson-used-for) - 1 comment

### [Amazon QuickSight](https://www.g2.com/products/amazon-quicksight/reviews)

Amazon QuickSight is a cloud-based unified business intelligence (BI) service at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, natural language queries and embedded analytics. With Amazon Q in QuickSight, business analysts and business users can use natural language to build, discover, and share meaningful insights in seconds, turning insights into impact faster. Over 100,000 customers use Amazon QuickSight. Learn more at https://quicksight.aws

**Average Rating:** 4.3/5.0

**Total Reviews:** 676

#### How Do G2 Users Rate Amazon QuickSight?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10)
- **AI Text Summarization:** 8.2/10 (Category avg: 8.1/10)
- **Algorithms:** 8.1/10 (Category avg: 8.5/10)
- **AI Text Generation:** 8.2/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Amazon QuickSight?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 40% Small, 37% Medium

#### What Do G2 Reviewers Say About Amazon QuickSight?

_AI-generated summary from verified user reviews_

##### Pros

- Users enjoy the **seamless integration with AWS services** , allowing for quick and effective dashboard creation.
- Users find Amazon QuickSight to be **very user-friendly** , seamlessly integrating with AWS for a smooth experience.
- Users appreciate the **easy integrations** of Amazon QuickSight, enhancing convenience with AWS and other data sources.
- Users value the **interactive dashboards and data visualization tools** of Amazon QuickSight, enhancing real-time insights for their business.
- Users admire the **interactive dashboard management** of Amazon QuickSight, enabling seamless data visualization and real-time insights.

##### Cons

- Users find the **limited customization options** of Amazon QuickSight restricts the flexibility of their reporting needs.
- Users find the **learning curve steep** , requiring additional AWS knowledge for effective use of QuickSight's features.
- Users find the **visualization options limited** , making it tough to achieve desired dashboard customizations and interactivity.
- Users find **missing features** in Amazon QuickSight, particularly lacking customization and advanced analytics compared to competitors.
- Users find the **poor interface design** of Amazon QuickSight detracts from usability and hinders deeper data analysis.

#### What Are Recent G2 Reviews of Amazon QuickSight?

**["Fast, Serverless BI with Seamless AWS Integration"](https://www.g2.com/survey_responses/amazon-quicksight-review-11692248)**

**Rating:** 4.5/5.0 stars

_— Jawher S._

[Read full review](https://www.g2.com/survey_responses/amazon-quicksight-review-11692248)

**["Streamlined Reporting with Robust Features"](https://www.g2.com/survey_responses/amazon-quicksight-review-11360363)**

**Rating:** 4.0/5.0 stars

_— Dilip Kumar P._

[Read full review](https://www.g2.com/survey_responses/amazon-quicksight-review-11360363)

#### What Are G2 Users Discussing About Amazon QuickSight?

- [What is Amazon QuickSight used for?](https://www.g2.com/discussions/what-is-amazon-quicksight-used-for) - 2 comments, 1 upvote
- [What is new in QuickSight?](https://www.g2.com/discussions/what-is-new-in-quicksight) - 1 comment, 1 upvote
- [Is AWS QuickSight free?](https://www.g2.com/discussions/is-aws-quicksight-free) - 2 comments, 1 upvote
- [How does AWS QuickSight work?](https://www.g2.com/discussions/how-does-aws-quicksight-work) - 2 comments, 1 upvote
- [What is Amazon QuickSight?](https://www.g2.com/discussions/what-is-amazon-quicksight) - 2 comments, 1 upvote

### [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?

- **Has the product been a good partner in doing business?:** 8.0/10 (Category avg: 8.9/10)
- **AI Text Summarization:** 9.7/10 (Category avg: 8.1/10)
- **Algorithms:** 7.7/10 (Category avg: 8.5/10)
- **AI Text Generation:** 9.7/10 (Category avg: 8.1/10)

#### 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

### [SAP Analytics Cloud](https://www.g2.com/products/sap-analytics-cloud/reviews)

With the SAP Analytics Cloud solution, you can bring together analytics and planning with unique integration to SAP applications and smooth access to heterogenous data sources. As the analytics and planning solution within SAP Business Technology Platform, SAP Analytics Cloud supports trusted insights and integrated planning processes enterprise-wide to help you make decisions without doubt.

**Average Rating:** 4.2/5.0

**Total Reviews:** 750

#### How Do G2 Users Rate SAP Analytics Cloud?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10)
- **AI Text Summarization:** 8.9/10 (Category avg: 8.1/10)
- **Algorithms:** 8.0/10 (Category avg: 8.5/10)
- **AI Text Generation:** 8.7/10 (Category avg: 8.1/10)

#### Who Is the Company Behind SAP Analytics Cloud?

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Company Website:** www.sap.com
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP  
297,052 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fd712dbd816fadfc039a60dcf8c1a3d6a48469756075586fa0be3da7e4b74d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsap%2F&secure%5Burl_type%5D=linkedin_company_website)  
141,955 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Senior Consultant, Consultant
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 49% Large, 28% Medium

#### What Do G2 Reviewers Say About SAP Analytics Cloud?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** in SAP Analytics Cloud, facilitating effortless data understanding and streamlined reporting.
- Users appreciate the **wide range of data connectivity options** in SAP Analytics Cloud, enhancing integration and analytics capabilities.
- Users value the **interactive dashboards** of SAP Analytics Cloud, which enhance data clarity and user customization.
- Users value the **easy integrations** of SAP Analytics Cloud, enjoying seamless connectivity and efficient data analysis across projects.
- Users appreciate the **wide range of data connectivity and predictive analytics** in SAP Analytics Cloud for effective decision-making.

##### Cons

- Users experience **slow performance** with SAP Analytics Cloud, particularly when working with complex datasets and large models.
- Users face a **steep learning curve** with SAP Analytics Cloud, requiring training to navigate its complex features effectively.
- Users find the **steep learning curve** challenging, especially without guidance for navigating SAP Analytics Cloud's features.
- Users experience significant **performance issues** with SAP Analytics Cloud, particularly with large datasets and complex calculations.
- Users experience **slow performance with large datasets** , making complex analyses cumbersome and time-consuming.

#### What Are Recent G2 Reviews of SAP Analytics Cloud?

**["SAP Analytics Cloud Clean Dashboards and Powerful Real Time Analytics in One Place"](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12817514)**

**Rating:** 5.0/5.0 stars

_— Muzammil M._

[Read full review](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12817514)

**["Reliable & User-Friendly Analytics Tool"](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12885706)**

**Rating:** 4.0/5.0 stars

_— sagar i._

[Read full review](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12885706)

#### What Are G2 Users Discussing About SAP Analytics Cloud?

- [What is SAP Analytics Cloud used for?](https://www.g2.com/discussions/what-is-sap-analytics-cloud-used-for) - 2 comments
- [What is SAP Lumira used for?](https://www.g2.com/discussions/sap-lumira-what-is-sap-lumira-used-for) - 1 comment, 1 upvote
- [What is SAP Analytics Hub used for?](https://www.g2.com/discussions/what-is-sap-analytics-hub-used-for) - 1 comment
- [How does SAP Analytics calculate average cloud?](https://www.g2.com/discussions/how-does-sap-analytics-calculate-average-cloud)
- [What is predictive analytics software?](https://www.g2.com/discussions/sap-predictive-analytics-what-is-predictive-analytics-software) - 1 comment

### [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)

SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learning and predictive tools grounded in modern data science. Its powerful in-memory performance safeguards efficient data processing. By securely storing vast amounts of data with its integrated multitier storage and handling various types on a single copy in its native multi-model database, SAP HANA Cloud simplifies data management and connects to other data sources. The seamless integration of these capabilities in a reliable, unified foundation makes it easier for developers to build high-demand intelligent data apps.

**Average Rating:** 4.3/5.0

**Total Reviews:** 521

#### How Do G2 Users Rate SAP HANA Cloud?

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10)
- **AI Text Summarization:** 7.2/10 (Category avg: 8.1/10)
- **Algorithms:** 8.8/10 (Category avg: 8.5/10)
- **AI Text Generation:** 6.9/10 (Category avg: 8.1/10)

#### Who Is the Company Behind SAP HANA Cloud?

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Company Website:** www.sap.com
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP  
297,052 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fd712dbd816fadfc039a60dcf8c1a3d6a48469756075586fa0be3da7e4b74d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsap%2F&secure%5Burl_type%5D=linkedin_company_website)  
141,955 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Consultant, SAP Consultant
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 61% Large, 26% Medium

#### What Do G2 Reviewers Say About SAP HANA Cloud?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** with SAP HANA Cloud, enjoying seamless integration and smooth real-time analytics.
- Users appreciate the **easy integrations** of SAP HANA Cloud, enhancing their workflow and data management seamlessly.
- Users value the **smooth integration capabilities** of SAP HANA Cloud, enhancing efficiency and simplifying data management.
- Users value the **speed and responsiveness** of SAP HANA Cloud, making data handling efficient and streamlined.
- Users value the **flexible and elastic scalability** of SAP HANA Cloud, enhancing performance for data-intensive applications.

##### Cons

- Users find the **complexity of the setup** challenging, particularly for new users and integrations with other systems.
- Users find SAP HANA Cloud to be **expensive** , particularly for large data demands and advanced configurations requiring expertise.
- Users find the **learning curve challenging** , especially for teams new to HANA's concepts and SQL extensions.
- Users find the **difficult learning curve** of SAP HANA Cloud challenging, especially for new users and feature navigation.
- Users find the **complex setup** of SAP HANA Cloud challenging, particularly for newcomers and during initial provisioning.

#### What Are Recent G2 Reviews of SAP HANA Cloud?

**["Efficient Transactions, But Time-Intensive Setup"](https://www.g2.com/survey_responses/sap-hana-cloud-review-12983922)**

**Rating:** 4.0/5.0 stars

_— Sumeet R._

[Read full review](https://www.g2.com/survey_responses/sap-hana-cloud-review-12983922)

**["Real-Time Analytics Powerhouse with Flexible, Scalable Performance."](https://www.g2.com/survey_responses/sap-hana-cloud-review-12631916)**

**Rating:** 5.0/5.0 stars

_— Mahendra S._

[Read full review](https://www.g2.com/survey_responses/sap-hana-cloud-review-12631916)

### [Alteryx](https://www.g2.com/products/alteryx/reviews)

Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial.

**Average Rating:** 4.6/5.0

**Total Reviews:** 852

#### How Do G2 Users Rate Alteryx?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10)
- **AI Text Summarization:** 7.2/10 (Category avg: 8.1/10)
- **Algorithms:** 8.3/10 (Category avg: 8.5/10)
- **AI Text Generation:** 7.0/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Alteryx?

- **Seller:** [Alteryx](https://www.g2.com/sellers/alteryx)
- **Company Website:** www.alteryx.com
- **Year Founded:** 1997
- **HQ Location:** Irvine, CA
- **Twitter:** @alteryx  
26,149 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ae8a7629c5a6d593caff29361a6ee3fb670df11992dd94a9656c66461078b340&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F903031%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,304 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Analyst
- **Top Industries:** Financial Services, Accounting
- **Company Size:** 63% Large, 21% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Alteryx, finding it user-friendly and efficient for non-technical users.
- Users appreciate the **automation capabilities** of Alteryx, enhancing speed and efficiency in data preparation and analysis.
- Users love the **intuitive design** of Alteryx, making data management and workflow creation effortless and efficient.
- Users find Alteryx to be **very easy to learn and use** , enhancing their data workflow and automation experience.
- Users appreciate the **efficiency** of Alteryx, enabling quick data processing and streamlined workflows without complex coding.

##### Cons

- Users mention that Alteryx has a **high cost** which can be challenging for small teams and startups.
- Users find a **steep learning curve** for advanced features, making it challenging for beginners to master Alteryx quickly.
- Users point out the **missing features** in Alteryx, such as limited connectors and issues with output flexibility.
- Users find **learning difficulty** in Alteryx due to confusing tools and troubleshooting errors, especially for beginners.
- Users encounter **slow performance** when processing large datasets, impacting efficiency and usability in Alteryx.

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

**["Powerful, Time-Saving Data Prep But Pricey, Windows-Only, and Weak on Reporting"](https://www.g2.com/survey_responses/alteryx-review-12999843)**

**Rating:** 4.5/5.0 stars

_— jayesh l._

[Read full review](https://www.g2.com/survey_responses/alteryx-review-12999843)

**["Intuitive Drag-and-Drop Analytics That Speeds Up Data Prep and Insights"](https://www.g2.com/survey_responses/alteryx-review-12983224)**

**Rating:** 4.5/5.0 stars

_— Akhil S._

[Read full review](https://www.g2.com/survey_responses/alteryx-review-12983224)

### [Amazon Forecast](https://www.g2.com/products/amazon-forecast/reviews)

Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.

**Average Rating:** 4.3/5.0

**Total Reviews:** 102

#### How Do G2 Users Rate Amazon Forecast?

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10)
- **AI Text Summarization:** 8.8/10 (Category avg: 8.1/10)
- **Algorithms:** 8.7/10 (Category avg: 8.5/10)
- **AI Text Generation:** 9.6/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Amazon Forecast?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 49% Small, 37% Medium

#### What Do G2 Reviewers Say About Amazon Forecast?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Amazon Forecast, enabling quick and accurate predictions without extensive expertise.
- Users appreciate the **forecasting accuracy** of Amazon Forecast, enabling effective planning and decision-making with ease.
- Users appreciate the **accuracy of time-series predictions** in Amazon Forecast, simplifying demand planning and decision-making.
- Users appreciate the **easy integration and accurate predictions** of Amazon Forecast, simplifying demand planning with minimal ML expertise.
- Users value the **high accuracy** of Amazon Forecast, which utilizes advanced ML technology for reliable results.

##### Cons

- Users find Amazon Forecast **expensive** for large datasets and frequent predictions, raising concerns about affordability.
- Users find the **complex setup process** of Amazon Forecast challenging, especially for those new to AWS.
- Users experience a challenging **learning curve** due to complex configurations and understanding data schemas before optimal use.
- Users highlight **cost issues** with Amazon Forecast, emphasizing complex pricing and potential for budget surprises with large datasets.
- Users find that managing **large datasets can lead to escalating costs** and a steep learning curve with Amazon Forecast.

#### What Are Recent G2 Reviews of Amazon Forecast?

**["Accurate ML Forecasting Without the Expertise—Seamless AWS Integration"](https://www.g2.com/survey_responses/amazon-forecast-review-12255988)**

**Rating:** 4.5/5.0 stars

_— Mahmoud H._

[Read full review](https://www.g2.com/survey_responses/amazon-forecast-review-12255988)

**["Amazon Forecast: Game-Changing Sales Predictor for Training Pros"](https://www.g2.com/survey_responses/amazon-forecast-review-12216415)**

**Rating:** 4.5/5.0 stars

_— Dhanesh V._

[Read full review](https://www.g2.com/survey_responses/amazon-forecast-review-12216415)

### [Dataiku](https://www.g2.com/products/dataiku/reviews)

Dataiku is the Platform for AI Success: the AI orchestration layer where enterprises build, deploy, and govern analytics, models, and agents at scale. It sits on top of the data platforms, clouds, and AI services you already use, working across all of them without locking you into any one. Dataiku expands who can build production AI, putting the right tools in the hands of data scientists and domain experts alike, from fraud analysts to demand planners. It orchestrates machine learning, rules, LLMs, and agents as one governed system, built on more than a decade of running production AI. Governance is part of the build rather than something bolted on afterward, so teams ship faster while keeping performance, cost, and risk under control. The result: AI that moves from experimentation to trusted, measurable execution now, not in 18 months.

**Average Rating:** 4.4/5.0

**Total Reviews:** 213

#### How Do G2 Users Rate Dataiku?

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10)
- **AI Text Summarization:** 8.3/10 (Category avg: 8.1/10)
- **Algorithms:** 8.1/10 (Category avg: 8.5/10)
- **AI Text Generation:** 8.7/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Dataiku?

- **Seller:** [Dataiku](https://www.g2.com/sellers/dataiku)
- **Company Website:** Dataiku.com
- **Year Founded:** 2013
- **HQ Location:** New York, NY
- **Twitter:** @dataiku  
22,917 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e59ec8fccc02ecc4f883419e54da56d3f6fc8b1e556153f0cc01cd05e3b77faa&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdataiku%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,619 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Scientist, Data Analyst
- **Top Industries:** Financial Services, Pharmaceuticals
- **Company Size:** 60% Large, 22% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate how Dataiku facilitates **easy ML development** , allowing focus on building models without the complexity.
- Users love the **ease of use** in Dataiku, simplifying complex tasks and enhancing their data analysis experience.
- Users appreciate the **ease of usability** in Dataiku, enabling collaboration for both technical and non-technical users.
- Users appreciate the **easy integrations** of Dataiku, facilitating smooth collaboration and deployment across various analytics tools.
- Users benefit from the **productivity improvement** of Dataiku, enabling faster project development and enhanced career growth.

##### Cons

- Users find the **steep learning curve** of Dataiku challenging, making it tough for beginners to master the platform.
- Users find the **steep learning curve** challenging for beginners, impacting their ability to effectively use Dataiku.
- Users find the **difficult learning** curve challenging, particularly for beginners navigating advanced features.
- Users experience **slow performance** with Dataiku when handling large datasets, affecting efficiency and productivity.
- Users find Dataiku **expensive** , especially for smaller organizations and projects, impacting accessibility and affordability.

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

**["Unified, Low-Code Platform That Boosts End-to-End Data & AI Productivity"](https://www.g2.com/survey_responses/dataiku-review-13125252)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/dataiku-review-13125252)

**["Build Faster Workflows with Connected Data from many providers or distinct data sources"](https://www.g2.com/survey_responses/dataiku-review-13120436)**

**Rating:** 4.5/5.0 stars

_— Adalberto G._

[Read full review](https://www.g2.com/survey_responses/dataiku-review-13120436)

#### What Are G2 Users Discussing About Dataiku?

- [Is Dataiku an ETL tool?](https://www.g2.com/discussions/is-dataiku-an-etl-tool)
- [Is Dataiku web based?](https://www.g2.com/discussions/is-dataiku-web-based)
- [What is DSS Dataiku?](https://www.g2.com/discussions/what-is-dss-dataiku)
- [What is Dataiku DSS used for?](https://www.g2.com/discussions/what-is-dataiku-dss-used-for)

### [Nixtla](https://www.g2.com/products/nixtla/reviews)

TimeGPT is a cutting-edge foundation model specifically designed for time series forecasting and anomaly detection. This innovative solution empowers users to harness the full potential of their time series data, enabling more informed decision-making across various domains. With its advanced capabilities, TimeGPT stands out as a pivotal tool for organizations looking to optimize their data-driven strategies. Targeted at data scientists, analysts, and business decision-makers, TimeGPT caters to a wide range of industries, including finance, energy, and meteorology. Its ability to process and analyze vast amounts of time series data makes it an invaluable resource for those seeking to improve operational efficiency, enhance predictive accuracy, and identify unusual patterns that may indicate underlying issues. Whether it’s forecasting stock prices, predicting energy consumption, or analyzing weather trends, TimeGPT provides the necessary tools to tackle complex time series challenges. One of the key features of TimeGPT is its zero-shot inference capability, which allows users to generate forecasts and detect anomalies without the need for prior training data. This feature significantly reduces the time and resources typically required for model training, enabling users to quickly gain insights from their data. Additionally, TimeGPT has been extensively trained on over 100 billion time series data points, ensuring that it can deliver reliable and accurate predictions across various contexts. TimeGPT also offers fine-tuning options, allowing users to adapt the model to their specific datasets. This flexibility ensures that organizations can tailor the model to their unique time series characteristics, enhancing its predictive performance. Furthermore, the model supports the integration of exogenous variables, which can improve forecast accuracy by accounting for external factors that may influence the data. With robust API access, TimeGPT can be seamlessly integrated into existing applications, making it easy for organizations to leverage its capabilities. It is also compatible with Azure Studio and can be deployed on private infrastructure, providing users with the flexibility to choose the deployment method that best suits their needs. The ability to forecast multiple time series simultaneously further optimizes workflows, allowing organizations to manage resources effectively while enhancing their analytical capabilities. In addition to its forecasting prowess, TimeGPT excels in anomaly detection, automatically identifying unusual patterns in time series data. This feature is particularly beneficial for organizations that need to monitor systems in real-time and respond swiftly to potential issues. By incorporating exogenous features, users can further enhance the model's performance, ensuring that they are equipped to handle the complexities of their time series data.

**Average Rating:** 4.7/5.0

**Total Reviews:** 51

#### How Do G2 Users Rate Nixtla?

- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.9/10)
- **AI Text Summarization:** 4.3/10 (Category avg: 8.1/10)
- **Algorithms:** 9.6/10 (Category avg: 8.5/10)
- **AI Text Generation:** 4.6/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Nixtla?

- **Seller:** [Nixtla](https://www.g2.com/sellers/nixtla)
- **Company Website:** www.nixtla.io
- **Year Founded:** 2021
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bf1dba08da9888717aaa2a2097185362a9d575882cb2b12677582e9c01deabc3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fnixtlainc&secure%5Burl_type%5D=linkedin_company_website)  
33 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Scientist
- **Top Industries:** Computer Software, Retail
- **Company Size:** 43% Large, 39% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find Nixtla's tools remarkably **easy to use** , simplifying their forecasting workflows with minimal coding effort.
- Users commend **easy integrations** of Nixtla's tools, streamlining workflows and boosting productivity in various environments.
- Users appreciate the **responsive customer support** from Nixtla, ensuring they receive timely assistance and guidance.
- Users appreciate the **impressive selection of models** in Nixtla, enabling easy and effective hands-on forecasting education.
- Users value the **remarkable ease of implementation** of Nixtla, enabling fast prototyping and seamless integration with existing systems.

##### Cons

- Users note a **lack of essential features** in Nixtla, particularly for beginners and enterprise users.
- Users find Nixtla **quite expensive** , making it less accessible for smaller companies or non-critical forecasting needs.
- Users find a significant **lack of guidance** in Nixtla, particularly for advanced and complex use cases.
- Users find the product's **limited features** restrict its utility, particularly for comprehensive data science tasks.
- Users find the **learning curve steep** due to limited documentation for advanced use cases and configuration difficulties.

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

**["Effortless Precision in Market Forecasting"](https://www.g2.com/survey_responses/nixtla-review-11452193)**

**Rating:** 5.0/5.0 stars

_— Brett R._

[Read full review](https://www.g2.com/survey_responses/nixtla-review-11452193)

**["Easy to Work With and Great API Integrations"](https://www.g2.com/survey_responses/nixtla-review-13179810)**

**Rating:** 4.0/5.0 stars

_— Juliana Q._

[Read full review](https://www.g2.com/survey_responses/nixtla-review-13179810)

### [Pure1 AIOps](https://www.g2.com/products/pure1-aiops/reviews)

Pure1 Meta is global intelligence built from a massive collection of storage array health and performance data. By continuously scanning call-home telemetry from Pure’s installed base, Pure1 Meta uses machine learning predictive analytics to help resolve potential issues and optimize your workloads.

**Average Rating:** 4.7/5.0

**Total Reviews:** 12

#### How Do G2 Users Rate Pure1 AIOps?

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.9/10)
- **AI Text Summarization:** 10.0/10 (Category avg: 8.1/10)
- **Algorithms:** 10.0/10 (Category avg: 8.5/10)
- **AI Text Generation:** 10.0/10 (Category avg: 8.1/10)

#### Who Is the Company Behind Pure1 AIOps?

- **Seller:** [Pure Storage](https://www.g2.com/sellers/pure-storage)
- **Year Founded:** 2009
- **HQ Location:** Santa Clara, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f948739ded8d3960db4af11e8fa005ed024ea8f4da0648f2eed9554c85b40f47&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fpure-storage%2F&secure%5Burl_type%5D=linkedin_company_website)  
5,173 employees on LinkedIn®
- **Ownership:** PSTG
- **Total Revenue (USD mm):** $1,359

#### Who Uses This Product?

- **Company Size:** 42% Medium, 33% Large

#### What Do G2 Reviewers Say About Pure1 AIOps?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **responsive customer support** of Pure1 AIOps, enhancing their overall experience with the system.
- Users find the **ease of use** in Pure1 AIOps enhances their experience with streamlined administration and support.
- Users find **implementation easy** due to the fully built system and user-friendly admin console configuration.
- Users value the **advanced security features** and appreciate the responsive support from the Pure1 AIOps team.

##### Cons

- Users find the **high upfront cost** and hardware subscription challenging to justify, complicating their decision-making process.
- Users find the **upfront costs and subscription fees** challenging to justify, impacting their overall satisfaction with Pure1 AIOps.

#### What Are Recent G2 Reviews of Pure1 AIOps?

**["For monitoring cloud storage"](https://www.g2.com/survey_responses/pure1-aiops-review-8917532)**

**Rating:** 4.0/5.0 stars

_— Ludvi A._

[Read full review](https://www.g2.com/survey_responses/pure1-aiops-review-8917532)

**["Pure Storage Systems are more than just Storage"](https://www.g2.com/survey_responses/pure1-aiops-review-10478466)**

**Rating:** 4.5/5.0 stars

_— Verified User in Higher Education_

[Read full review](https://www.g2.com/survey_responses/pure1-aiops-review-10478466)

#### What Are G2 Users Discussing About Pure1 AIOps?

- [What does Pure1 do?](https://www.g2.com/discussions/what-does-pure1-do)
- [What is pure storage purity?](https://www.g2.com/discussions/pure1-what-is-pure-storage-purity)
- [What is Pure1 Meta?](https://www.g2.com/discussions/what-is-pure1-meta)
- [What is Pure1 manage?](https://www.g2.com/discussions/what-is-pure1-manage)

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[Browse Predictive Analytics Themes](/categories/predictive-analytics/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 October 29, 2024

Predictive analytics software 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 tools to build decision models, which business managers can use to plan for the best possible outcome. Analysts, business users, data scientists, and developers all use predictive analytics solutions to better understand customers, products, and partners and to identify potential risks and opportunities for a company.

Predictive analytics platforms enable organizations to use big data (both stored and real-time) to move from a historical view to a forward-looking perspective of the customer. These tools and techniques can be deployed both on premise (usually for enterprise users) and in the cloud. While the majority of predictive analytics software is proprietary, versions that are based on open-source technology do exist. Recent trends in software for predictive analytics show its integration with [business intelligence platforms](https://www.g2.com/categories/business-intelligence-platforms), [ERP systems](https://www.g2.com/categories/erp-systems), or other [digital analytics software](https://www.g2.com/categories/digital-analytics).

To qualify for inclusion in the Predictive Analytics category, a product must:

- Mine and analyze structured and/or unstructured data 
- Create datasets and/or data visualizations from compiled data 
- Create predictive models to forecast future probabilities 
- Adapt to change and revisions 
- Allow import and export from office suites or other data-collecting channels 

Top Tools at a Glance

| 

 | 

Visual data storytelling with drag-and-drop forecasting

 | 

User Review

"Turning Complex Data into Actionable Insights"

 |
| 

 | 

AI-driven revenue forecasting inside Salesforce pipelines

 | 

User Review

"Clari Platform Review from a RevOps Perspective"

 |
| 

 | 

Enterprise ML model governance with low-code deployment

 | 

User Review

"Effective Data Analysis with SAS Viya"

 |
| 

 | 

SQL-based ML modeling on petabyte-scale datasets

 | 

User Review

"Easy-to-Use Cloud Tool with Shareable, Saved Queries"

 |
| 

 | 

Cross-channel customer journey analytics with Adobe integration

 | 

User Review

"Adobe Analytics Turns User Data Into Actionable Insights"

 |
| 

 | 

Enterprise forecasting with governed data models

 | 

User Review

"Powerful, Scalable Analytics with Interactive Dashboards and Strong Governance"

 |
| 

 | 

AWS-native dashboards with ML-powered forecasting

 | 

User Review

"Fast, Serverless BI with Seamless AWS Integration"

 |
| 

 | 

Point-and-click statistical modeling for non-programmers

 | 

User Review

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

 |
| 

 | 

Real-time predictive analytics on SAP transactional data

 | 

User Review

"Efficient Transactions, But Time-Intensive Setup"

 |

* * *

Show More

* * *

## How Do You Choose the Right Predictive Analytics Software?

### What You Should Know About Predictive Analytics Software

### What are predictive analytics tools and software?

Predictive analytics software is all about making business outcomes predictable. Data scientists and data analysts can do this by using data mining and predictive modeling to analyze historical data. By better understanding the past, businesses can gain insights into the future. [Predictive analytics](https://www.g2.com/articles/predictive-analytics) is a step further than general [business intelligence](https://www.g2.com/glossary/business-intelligence-definition), which companies use to pull actionable insights from their data sets. Instead, users can develop [machine learning algorithms](https://www.g2.com/articles/what-is-machine-learning) and predictive models to help forecast and achieve business-critical numbers.

The reason businesses can hit those critical numbers and become more predictive is due to the boom of big data. Companies can harness their data like never before. By recording and owning more and more historical and real-time data, data scientists have larger sample sizes to work with, meaning they can be much more accurate. Additionally, companies investing in predictive analytics without ensuring that their data is accurate, clean, and accessible will ultimately be wasting their time. However, those who can wrangle their data properly will create a significant competitive edge and hold an advantage in the market.

### Benefits of using predictive analytics tools

- Accurately predict and forecast revenue numbers based on a wide range of variables
- Understand and account for customer churn and retention
- Predict employee churn based on historical factors for turnover
- Make more precise, data-driven decisions in all departments based on available data
- Determine both risks and opportunities that were otherwise hidden within company data

### Why use predictive analytics solutions?

There are a number of applications for predictive analytics software and reasons businesses should adopt them, but they all boil down to understanding what has happened in the past, what could happen in the future, and what should be done to ensure positive business outcomes. These are considered [descriptive analytics, predictive analytics, and prescriptive analytics](https://www.g2.com/articles/types-of-data-analytics).

**Descriptive Analytics (understanding the past) —** Descriptive analytics deals with understanding what has happened in the past and how it has influenced where a business is in the present. This means undergoing data mining on a company’s historical data. This type of analysis can be obtained by using business intelligence tools, big data analytics, or time-series data. Regardless of how it is attained, providing descriptive analytics is a key foundation of predictive analytics and creating data-driven decision-making processes. It requires thorough data preparation and organizing the data for easy descriptive analysis.

**Predictive Analytics (knowing what is possible) —** Predictive analytics allows users and businesses to know and anticipate potential outcomes. Building predictive models based on descriptive analysis can ensure that businesses do not make the same mistake twice. It can also provide more accurate forecasting and planning, which helps to optimize efficiency. Ultimately, this analysis makes the unknown known.

**Prescriptive Analytics (so now what?) —** The final step and ultimate reason for using predictive analytics tools is to make clear actions based on the suggestions and recommendations of the predictive models. This is where machine learning and deep learning functionality come into play. Some predictive analytics solutions can provide actionable insights without human intervention. For example, it can provide a short list of sales accounts that should close quickly based on several variables. Becoming prescriptive takes analytics a step further and is the ultimate reason for adopting advanced, predictive analytics.

### Who uses predictive analytics platforms?

To fully take advantage of predictive analytics platforms, businesses need to hire highly skilled data scientists with knowledge in machine learning development and predictive modeling. These skilled workers are not abundant, so they are often paid very well. Dedicating financial resources to these positions may not be an option for every company, but those who can afford data scientists have a leg up on the competition.

While data scientists or data analysts are the employees tasked with using predictive analytics software, there are many industries and departments that can be impacted by using predictive analytics:

**Manufacturing and Supply Chain—** One area that can be greatly enhanced by using predictive analysis is demand planning for manufacturing companies. With more accurate forecasting, businesses can avoid risks like shortages and surpluses. Additionally, companies can become predictive about quality management and production issues. By analyzing what has caused production failures in the past, companies can anticipate and avoid production breakdowns in the future.

Distribution is another major aspect of the supply chain that can be further optimized with predictive modeling. By better estimating where goods will need to be delivered and the risks that may hold up distribution modes, businesses can provide better service and more efficiently deliver their products to customers. Taking into account historical data, such as weather, traffic, and accident records, shipping can become a more precise science.

**Retail —** Retail is another industry that is ripe for optimization with the help of predictive analytics. Retail predictive analytics can provide businesses with insights on everything from pricing optimization to understanding how shoppers navigate brick-and-mortar stores for better in-store organization of merchandise. E-commerce businesses can track these factors in a much more efficient manner. All e-commerce interactions can be recorded into a database and influenced by predictive models. This is one of the main reasons Amazon has been so successful and disruptive to brick-and-mortar retailers. Every decision can be made predictive with the help of data.

**Marketing and Sales —** Being able to predict the actions of customers and prospects is an invaluable service for any business. Marketing teams can leverage predictive analytics software to project how marketing campaigns may perform, which segment of prospects to target with ads, and the potential conversion rates of each campaign. Understanding how these efforts impact the bottom line is critical to the success of marketing teams and translates into a much more efficient and productive sales team. At the same time, sales teams can leverage predictive modeling in such areas as lead scoring, determining which accounts to target first because they have a higher chance of closing. Ensuring that sales representatives are working smarter instead of harder means more revenue. A few [CRM](https://www.g2.com/categories/crm) and [marketing automation solutions](https://www.g2.com/categories/marketing-automation) provide some level of predictive functionality, but data scientists can separately funnel that data into dedicated predictive analytics tools to find cross-departmental correlations.

**Financial Services—** The banking industry has long been ripe for disruption, but financial administrations are using predictive analytics solutions to better predict risk. Historical data can power predictive analytics software to predict fraudulent transactions and determine credit risks, among other functions.

### Types of predictive analytics software

Predictive modeling is a complex science that requires years of training to understand. There is a reason data scientists are in high demand: not many people have a complete grasp of how to build predictive models. There are two main types of predictive models: classification and regression models.

**Classification Models—** Simply put, classification puts a piece of data into a bucket or a class and labels it as such. Classification models essentially label data based on what an algorithm has already learned. The ultimate goal of classification models is to accurately bucket new data points into the proper classes so that the data can become predictive and prescriptive.

**Regression Models—** Regression models analyze the relationship between two separate data points and help forecast what happens when they are placed side by side. For example, in baseball, teams may perform a regression analysis on the relationship between the number of fastballs thrown and the number of home runs hit.

**Decision Trees —** One common type of classification model is a decision tree. These models predict several possible outcomes based on a variety of inputs. For example, if a sales team builds $1 million in a pipeline, they can close $100,000 in revenue, but if they create $10 million in a pipeline, they should be able to close $1 million in revenue.

**Neural Networks—** Neural networks, known in the AI world as artificial neural networks, are extremely complex predictive models. These models can predict and analyze unstructured, nonlinear relationships between data points. These solutions provide pattern recognition and can help track anomalies. Artificial neural networks were originally created and built to mimic the synapses and neural aspects of the human brain. They are one of the contributing factors to the accelerated growth in artificial intelligence and deep learning.

Other types of predictive modeling include Bayesian analysis, memory-based reasoning, k-nearest neighbor, support vector machines, and time-series data mining.

### Potential issues with predictive analytics software solutions

**Lack of Skilled Employees—** The main issue with adopting predictive analytics software is the need for a skilled data scientist to interact with the data and build the models. There is a distinct skill gap in terms of finding users who understand how to pull data and build models and the implications that the data has on the overall business. For this reason, data scientists are in very high demand and, thus, expensive.

**Data Organization—** Many companies face the challenge of organizing data so that it can be easily accessed. Harnessing big data sets that contain historical and real-time data is not easy in today's world. Companies often need to build a data warehouse or a data lake that can combine all the disparate data sources for easy access. This, again, requires highly knowledgeable employees.

### Software and services related to predictive analytics tools

Predictive analytics software relates to many other analytics and [artificial intelligence software](https://www.g2.com/categories/artificial-intelligence) categories.

[**Machine Learning Software**](https://www.g2.com/categories/machine-learning) **—** Machine learning algorithms are a key component of building effective predictive models. Many machine learning algorithms are built to provide recommendations or suggestions, which is also the end goal of predictive analytics software. Developers use these tools to embed machine learning inside applications, often to provide predictive and prescriptive analysis.

[**Business Intelligence Platforms**](https://www.g2.com/categories/business-intelligence) **—** These tools are the traditional analytics solutions used to understand a company’s data. Data analysts use BI platforms to visualize and understand how specific actions impact business-critical initiatives. Some of these platforms offer predictive features, but their core purpose is not predictive modeling.

[**Big Data Analytics**](https://www.g2.com/categories/big-data-analytics) **—** Big data analytics software, like business intelligence platforms, often provides predictive modeling functionality. However, these solutions are used more to track real-time data than to understand historical data. 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.