SAS Visual Analytics vs Targit Decision Suite comparison

Why PeerSpot?

The compared SAS and Targit solutions aren't in the same category. SAS is ranked #16 in DV , with an average rating of 8.7, and holds a 1.7% mindshare in the category. Targit is ranked #34 in RT , and holds a 1.2% mindshare. Additionally, 97% of SAS users are willing to recommend the solution, compared to 100% of Targit users who would recommend it.

SAS Visual Analytics

Read 41 SAS Visual Analytics reviews

5,742 Views
2,354 Comparison Views

97% willing to recommend

Targit Decision Suite

Read 1 Targit Decision Suite review

1,526 Views
961 Comparison Views

100% willing to recommend

SAS Visual Analytics

Targit Decision Suite

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between SAS Visual Analytics and Targit Decision Suite based on real PeerSpot user reviews.

Find out what your peers are saying about Salesforce, Splunk, SAP and others in Data Visualization.

To learn more, read our detailed Data Visualization Report (Updated: October 2026).

Buyer's Guide

Data Visualization

October 2026

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Helped 917,433 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

SAS Visual Analytics

Average Rating

8.2

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

Data Visualization (16th)

Targit Decision Suite

Average Rating

8.0

Number of Reviews

Ranking in other categories

Reporting (34th), Embedded BI (24th)

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. SAS Visual Analytics is designed for Data Visualization and holds a mindshare of 1.7%, down 3.4% compared to last year.
Targit Decision Suite, on the other hand, focuses on Reporting, holds 1.2% mindshare, up 0.6% since last year.

Data Visualization Mindshare Distribution
Product	Mindshare (%)
SAS Visual Analytics	1.7%
Tableau Enterprise	9.5%
Qlik Sense	4.7%
Other	84.1%

Data Visualization

Reporting Mindshare Distribution
Product	Mindshare (%)
Targit Decision Suite	1.2%
Tableau Enterprise	13.5%
Microsoft Power BI	12.6%
Other	72.7%

Reporting

Featured Reviews

Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

Interactive dashboards have transformed clinical reporting and now support real time decisions

The best features of SAS Visual Analytics include performing data manipulation. I would characterize this as making data ready, transforming data, and making new variables through code while utilizing low-code and no-code facilities. In my experience, low-code features in SAS Visual Analytics help when I need to create a new variable. For instance, I can extract a date through the data roll step, and with no-code features, I can perform report creation by simply using drag and drop functionality. After implementing SAS Visual Analytics, we have generated a new way to generate revenue by providing live data visuals to our clients and making our team aware of data in real time, which has had a significant positive impact.

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it_user289458

Data Science Intern at a tech vendor with 5,001-10,000 employees

I can now create more meaningful charts--radar, donut, pareto, scatter, range, point, boxplot, etc., but it doesn't support Linux or commodity hardware.

* The tool is very easy to use, we got on-premise training from Panorama, within days we were proficient enough to play with the tool. * The customer service is very responsive, they answered our queries. * I saw lot of people complaining about the lack of community forum, but they do have a forum which is quite active. * The tool is extremely easy to use, with a click you can import data and create the visualizations. * The things I like most is it supports variety of charts, I was quite bored with my previous BI tool which mostly supported bar, line and pie charts. I can now create more meaningful charts radar, donut, pareto, scatter, range, point, boxplot, etc.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"R, however, has very potent display capabilities and numerous packages with advanced functionality."

"The flexibility of the configuration is valuable to me."

"Exposure of full population transactional data to customer facing roles with ability to analyse trends and patterns empowers our citizen data scientists to answer their own business questions regarding customer trends and to forecast future trends."

"I like SAS Visual Analytics for its ability to provide an initial understanding of data through exploration, even before deep analytics."

"The advantage of this tool is its big data handling in seconds and its predefined statistical methods for better data evaluation and understanding."

"The product is stable, reliable, and scalable."

"The features I found most valuable were the quick visualizations and the ease with which one could explore data sets."

"It's quite easy to learn and to progress with SAS from an end-user perspective."

More SAS Visual Analytics pros

"The tool is extremely easy to use, with a click you can import data and create the visualizations."

Cons

"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."

"The preliminary setup is complex."

"The graphics capabilities of SAS focus on SAS / BASE and SAS / Enterprise Guide and, without considering SAS / Visual Analytics is licensed part, they are pretty fair."

"SAS Visual Analytics could be more user-friendly."

"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."

"A bit more flexibility in the temperatization will be helpful."

"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."

"There is a need for coding when it comes to digital reporting which can be intimidating."

More SAS Visual Analytics cons

"No support for Linux or commodity hardware. Limited support for big data analytics."

Pricing and Cost Advice

"It was licensed for corporate use, and its licensing was on a yearly basis."

"The cost of the solution can be expensive. There is an additional cost for users."

"$10,000 per annum for an enterprise license."

"Licensing is simple."

"The product is quite expensive."

"It's approximately $114,000 US dollars per year."

"SAS Visual Analytics is expensive, as is the rest of the platform."

"The product is expensive."

More SAS Visual Analytics pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Outsourcing Company

10%

Construction Company

10%

Government

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	10
Large Enterprise	19

No data available

Questions from the Community

What is your experience regarding pricing and costs for SAS Visual Analytics?

My experience with pricing, setup costs, and licensing was positive, and I am happy with it.

See all answers

What needs improvement with SAS Visual Analytics?

SAS Visual Analytics offers many options, and new users unfamiliar with SAS might face some difficulties. Training on SAS Visual Analytics is required to help overcome these issues.

See all answers

What is your primary use case for SAS Visual Analytics?

My main use case for SAS Visual Analytics is making visual reports such as graphs, gauge plots, outlier plots, geomaps, and presenting my clinical data into a report or an interactive dashboard whi...

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Comparisons

Tableau Enterprise vs SAS Visual Analytics

Compared 12% of the time

Microsoft Power BI vs SAS Visual Analytics

Compared 8% of the time

Oracle OBIEE vs SAS Visual Analytics

Compared 5% of the time

SAP BusinessObjects Business Intelligence vs SAS Visual Analytics

Compared 5% of the time

XLCubed vs SAS Visual Analytics

Compared 2% of the time

More SAS Visual Analytics Competitors

Tableau Enterprise vs Targit Decision Suite

Compared 21% of the time

Microsoft Power BI vs Targit Decision Suite

Compared 17% of the time

Oracle OBIEE vs Targit Decision Suite

Compared 8% of the time

QlikView vs Targit Decision Suite

Compared 7% of the time

Jedox vs Targit Decision Suite

Compared 5% of the time

More Targit Decision Suite Competitors

Product Reports

Buyer's Guide

SAS Visual Analytics

September 2026

Download SAS Visual Analytics product report

Buyer's Guide

Reporting

October 2026

Download Targit Decision Suite product report

Also Known As

SAS BI

Targit BI Suite

Overview

SAS Visual Analytics offers rapid data processing and advanced forecasting with interactive reporting and visualization. It integrates with diverse data sources, enhancing scalability and automation, enabling data-driven decisions and extensive insight generation.

SAS Visual Analytics provides comprehensive data handling through its advanced reporting and visualization features. Businesses benefit from its ability to process data quickly and deliver insights via interactive dashboards and well-structured reports. Although it faces performance challenges with large datasets and has a complex installation process, it supports both cloud and on-premises deployments. Users can leverage its capabilities in data extraction, transformation, and loading, making it a valuable tool for finance, statistical analysis, and enterprise reporting. Despite some gaps in machine learning and integration with newer data stores, its scalability and flexibility in data management remain key advantages.

What are the most significant features of SAS Visual Analytics?

Rapid Data Processing: Efficiently handles large volumes of data for swift insights.
Interactive Reporting: Allows exploration of data through dynamic visuals.
Advanced Forecasting: Offers sophisticated prediction and analysis capabilities.
Scalable Integration: Seamlessly connects with diverse data sources.
Automation: Streamlines processes for enhanced productivity.

What benefits should users consider when evaluating?

Scalability: Ability to grow and adapt to expanding data needs.
Enhanced Insights: Delivers comprehensive report generation and visualization.
Data-driven Decisions: Empowers analytical decision-making with structured data presentation.
Flexibility: Supports integration beyond standard BI tools for broader functionality.

SAS Visual Analytics is implemented across sectors such as insurance and education for tasks like building dashboards and performing business intelligence. It is extensively used in finance and statistical analysis, turning complex data sets into actionable insights, supporting both cloud and on-premises environments.

SAS

Targit Decision Suite offers advanced analytics and business intelligence capabilities designed for professionals seeking data-driven insights to enhance decision-making processes across industries.

Designed for experts, Targit Decision Suite provides a comprehensive platform allowing users to seamlessly analyze and visualize data. Its focus on usability makes it suitable for organizations aiming to transform raw data into strategic growth opportunities through intuitive dashboards and dynamic reporting.

What are the key features of Targit Decision Suite?

Dashboards: Create visually engaging and customizable dashboards for quick data insights.
Analytics Tools: Advanced analytics tools for complex data examination and reporting.
Data Integration: Easy integration with diverse data sources for seamless data aggregation.
Collaboration: Share insights and collaborate on decisions with team members efficiently.

What benefits do users report in reviews?

Improved Decision Making: Enhanced ability to make informed decisions using actionable insights.
Increased Efficiency: Streamlined processes that reduce time spent on data analysis.
High ROI: Investment recovery through optimized resource allocation and strategic insights.
Scalability: Flexibility to expand and adapt as business needs evolve.

Targit Decision Suite is implemented in industries such as manufacturing, finance, and retail, leveraging its capabilities to automate reporting, drive financial forecasting, and optimize supply chain operations. It's utilized to harness real-time data for improved business outcomes, tailoring insights to industry-specific demands.

Targit

Sample Customers

Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.

Platon, bubobubo, JetReports, Radley

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We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.