SAS Business Intelligence

SAS Business Intelligence

About TrustRadius Scoring
Score 8.7 out of 100
SAS Business Intelligence

Overview

Recent Reviews

A great product

10
February 22, 2018
SAS Business Intelligence is being used primarily in our Research and Analytics departments to evaluate program changes that we might make …

SAS is the total package

9
May 20, 2014
This product is used by several departments across the organization. While it was slow getting groups engaged, it has solved the problem …

Popular Features

View all 28 features

Pixel Perfect reports (5)

7.1
71%

Customizable dashboards (5)

7.1
71%

Report Formatting Templates (5)

6.1
61%

Drill-down analysis (5)

5.2
52%

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Pricing

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Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

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Alternatives Pricing

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IBM Cognos is a full-featured business intelligence suite by IBM, designed for larger deployments. It comprises Query Studio, Reporting Studio, Analysis Studio and Event Studio, and Cognos Administration along with tools for Microsoft Office integration, full-text search, and dashboards.

What is Microsoft Power BI?

Microsoft Power BI is a visualization and data discovery tool from Microsoft. It allows users to convert data into visuals and graphics, visually explore and analyze data, collaborate on interactive dashboards and reports, and scale across their organization with built-in governance and security.

Features Scorecard

BI Standard Reporting

6.7
67%

Ad-hoc Reporting

7.0
70%

Report Output and Scheduling

9.5
95%

Data Discovery and Visualization

8.6
86%

Access Control and Security

9.9
99%

Mobile Capabilities

5.8
58%

Application Program Interfaces (APIs) / Embedding

7.3
73%

Product Details

What is SAS Business Intelligence?

SAS Business Intelligence Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Comparisons

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Reviews

(1-9 of 9)
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Raman Ahuja | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Review Source
SAS Business Intelligence is mainly used by the analytics teams across organizations in order to create interactive reports and dashboards. The employees are not dependent [on] clunky Excel reports and dashboard[s] anymore and are able to have access to reports, dashboards, and insights on the go with the help of mobile apps. Also, lot of features are inbuilt to do predictive analysis as well instead of just descriptive analysis.
Thomas Young | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
SAS Business Intelligence is used in the department for creating user-friendly, nice-looking graphics that are easy to follow and automatically update or require minimal effort to update. SAS Business Intelligence solves the problem of offering simple real-time analytics and data visualization for users that are not technically oriented.
Score 9 out of 10
Vetted Review
Verified User
Review Source
SAS Business Intelligence provides a valuable and powerful way to allow our end-users to query our data on an ad-hoc basis. Business Intelligence allows us to present the data to our users with pre-defined joins and available data elements assisting the users in designing and executing queries without requiring additional technical assistance. This provides both a cost and time savings to our technical teams.
February 22, 2018

A great product

Donald Wildeboer | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
SAS Business Intelligence is being used primarily in our Research and Analytics departments to evaluate program changes that we might make going forward. It really is only used by a few departments by company employees who are considered subject matter experts. Other departments use the outputs that we generate to make their business decisions. Another major use is for math intensive tasks.
Tapan Jain | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
SAS BI is being used by Local and Central Analytics teams to generate custom insights for advertisers, vertical level insights and to create various predictive models. SAS BI is used mostly by the Analytics teams. Since we are in AdTech industry, we deal with billions of rows of digital impression data which is mined to make sense using SAS BI. SAS BI directly connects to Vertica (SQL Database) and help us summarize the data and gather some insights on how to optimize the campaigns.
Score 10 out of 10
Vetted Review
Verified User
Review Source
It is majorly used to explore our data and discover new patterns. It aids in answering any curious mind's research questions. And most importantly it helps share the answers and the insights to relevant stakeholders in all the ways they can understand. It makes the data analyst's job easier and decision maker's decisions smarter.
Alex Rubin | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
SAS Business Intelligence is being used for health care economics and outcomes research and is used across the organization. It allows to develop optimal strategies of health care to treat patients and predict the cost of different options and protocols. SAS/STAT is an important part of statistical evaluation in most of the studies.
Nicole Jagusztyn | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
The Institutional Research Department at the college uses the full functionality of SAS BI to manipulate data, and produce reports and dashboards. These products are placed on the SAS Information Delivery Portal for use by administrators, deans and other staff across the college in data-driven decision making. Having a centralized repository for reports that are timely, interactive and easy to use has helped our employees in their decision making.
Erik Larsen | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
This product is used by several departments across the organization. While it was slow getting groups engaged, it has solved the problem of accumulating data from different sources into one place where it can be reported on and analyzed, thus serving the need of having the identical data pulls across all organizations. It also solved the issue with having analysts using thin-client to access the data which alleviated the need to have software installed on their workstations.