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SAS

SAS Visual Analytics

Composite Score

7.5 /10

CX Score

8.0 /10

28 Reviews Write a Review

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What is SAS Visual Analytics?

A single application for reporting, data exploration and analytics. Interactive reporting. Visual discovery. Self-service analytics. Scalability and governance. All from a single, powerful in-memory environment.

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SAS Visual Analytics Ratings

Real user data aggregated to summarize the product performance and customer experience.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

85 Likeliness to Recommend

92 Plan to Renew

76 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+94 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love SAS Visual Analytics?

10% Negative

5% Neutral

85% Positive

Pros

Trustworthy
Saves Time
Security Protects
Reliable

Feature Ratings

Average 75

Spatial Analysis

BI Platform Administration

Advanced Analytics and Data Science

Data Modelling Tools

Dashboard

BI Security

Operational Reporting Capabilities

Collaboration

Data Exploration and Visualization

Data Connectors and Data Mashup

Real-Time Visualization

Vendor Capability Ratings

Average 76

Business Value Created

Quality of Features

Vendor Support

Ease of IT Administration

Ease of Implementation

Ease of Data Integration

Usability and Intuitiveness

Ease of Customization

Availability and Quality of Training

Breadth of Features

Product Strategy and Rate of Improvement

Also Featured in...

Business Intelligence & Analytics - Midmarket

Score 7.7

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SAS Visual Analytics Reviews

Dhruv G.

Role: Information Technology
Industry: Banking
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Jan 2025

"SAAS is all you want"

Likeliness to Recommend

10 /10

What differentiates SAS Visual Analytics from other similar products?

SAS Business Intelligence & Analytics stands out for its advanced analytics capabilities, robust data integration, and enterprise scalability, making it ideal for complex, large-scale applications. It offers powerful statistical tools, real-time reporting, and integration with open-source platforms like Python and R. Known for its security, compliance features, and extensive support, SAS is a trusted solution for industries requiring sophisticated analytics.

What is your favorite aspect of this product?

My favorite aspect of SAS Business Intelligence & Analytics is its advanced analytics capabilities, offering powerful predictive modeling, machine learning, and data visualization tools. It seamlessly integrates with diverse data sources while maintaining enterprise-level scalability and security. These features make it a versatile and trusted choice for solving complex business problems.

What do you dislike most about this product?

The main drawback of SAS Business Intelligence & Analytics is its high cost, which can be prohibitive for small and mid-sized organizations. Additionally, its steep learning curve and reliance on proprietary software may require significant training and expertise. These factors can limit accessibility compared to more user-friendly and cost-effective alternatives.

What recommendations would you give to someone considering this product?

If considering SAS, ensure your organization needs its advanced analytics and can accommodate its higher costs. Invest in training to manage the steep learning curve and maximize its potential. Leverage its scalability and integration with tools like Python and R for flexibility.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Arpita N.

Role: Operations
Industry: Retail
Involvement: Initial Implementation

Validated Review

Verified Reviewer

Submitted Oct 2024

"Comprehensive Analytics with Integration Gaps"

Likeliness to Recommend

8 /10

What differentiates SAS Visual Analytics from other similar products?

SAS Business Intelligence & Analytics stands out for its advanced predictive analytics and robust data governance, offering deeper insights and strong support for complex data environments.

What is your favorite aspect of this product?

My favorite aspect of SAS Business Intelligence & Analytics is its powerful predictive analytics capabilities, which provide valuable insights for informed decision-making.

What do you dislike most about this product?

The main drawback of SAS Business Intelligence & Analytics is its complex user interface, which can be challenging for new users to navigate and may require a steep learning curve.

What recommendations would you give to someone considering this product?

For those considering SAS Business Intelligence & Analytics, prioritize training to navigate its complex interface and ensure it aligns with your predictive analytics needs. Evaluate data source compatibility for seamless integration.

Pros

Helps Innovate
Continually Improving Product
Reliable
Unique Features

Satya Shiv M.

Role: Consultant
Industry: Banking
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Dec 2025

It is mind blowing tool for SAS developers

Likeliness to Recommend

8 /10

What differentiates SAS Visual Analytics from other similar products?

Mainly it is also use as BI and development tool

What is your favorite aspect of this product?

Visualizeation

What do you dislike most about this product?

No issues

What recommendations would you give to someone considering this product?

No recommended

Pros

Reliable
Trustworthy
Efficient Service
Effective Service

SAS Visual Analytics

What is SAS Visual Analytics?

Company Details

Book a Free Demo Today!

SAS Visual Analytics Ratings

85 Likeliness to Recommend

92 Plan to Renew

76 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+94 Net Emotional Footprint

How much do users love SAS Visual Analytics?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Spatial Analysis Ability to natively visualize and analyze spatial data out of the box tied to postcode, zipcode or spacial co-ordinates.

BI Platform Administration Centralized console to manage BI portal administration. Management metrics and reports on usage, resource utilization, security, and other activities.

Advanced Analytics and Data Science Techniques including predictive, data and text mining, machine learning, forecasting, what-if analysis, sentiment analysis etc.

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

Dashboard Includes alerts and notifications, KPIs, visual analytics, and interactive features.

BI Security Data access control management, including access permissions management, user authentication and enforcement of access permissions via technology.

Operational Reporting Capabilities Real-time detailed reporting to support operational business processes.

Collaboration Includes ability to view, share and direct work between co-workers in real or near real-time.

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Data Connectors and Data Mashup Connect to, merge and clean data from multiple diverse data sources.

Real-Time Visualization Ability to analyze and visualize data as soon as it becomes available via data-streaming pipelines.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Also Featured in...

Business Intelligence & Analytics - Midmarket

SAS Visual Analytics Reviews

Dhruv G.

"SAAS is all you want"

Likeliness to Recommend

Pros

Arpita N.

"Comprehensive Analytics with Integration Gaps"

Likeliness to Recommend

Pros

Satya Shiv M.

It is mind blowing tool for SAS developers

Likeliness to Recommend

Pros

Feature Ratings

Spatial Analysis

BI Platform Administration

Advanced Analytics and Data Science

Data Modelling Tools

Dashboard

BI Security

Operational Reporting Capabilities

Collaboration

Data Exploration and Visualization

Data Connectors and Data Mashup

Real-Time Visualization

Vendor Capability Ratings

Business Value Created

Quality of Features

Vendor Support

Ease of IT Administration

Ease of Implementation

Ease of Data Integration

Usability and Intuitiveness

Ease of Customization

Availability and Quality of Training

Breadth of Features

Product Strategy and Rate of Improvement