SAS BI - Analytics made easy
January 31, 2018

SAS BI - Analytics made easy

Tapan Jain | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with SAS Business Intelligence

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.
  • SAS BI makes it very easy to create interactive dashboards even for someone who is not from an IT background. For some specific requirements, basic knowledge of SQL is good enough.
  • A lot of functions have been predefined which makes it very convenient to create dashboards and reports. One doesn't need to be from an IT or a programming background to understand and create dashboards.
  • It supports other programming languages like R and also has a seamless API integration with various data management platforms.
  • SAS is relatively expensive when compared to other BI tools and requires a large amount of upfront fee which becomes an issue for smaller organizations.
  • UI for the dashboards looks a little date in comparison to competitors like Tableau and Microstrategy.
  • Integration with other open source software like Python needs to be built in.
SAS BI is a great BI tool as it incorporates the advantage of SAS which is proven to be robust over the years. SAS BI is more suitable for a relatively larger organization which is looking for self-service BI tools where most of the users are not technically proficient. Also, since license fee is an on a higher end, smaller organizations will find it hard to afford SAS.

SAS Visual Analytics Feature Ratings

Pixel Perfect reports
6
Customizable dashboards
8
Report Formatting Templates
7
Drill-down analysis
8
Formatting capabilities
6
Integration with R or other statistical packages
5
Report sharing and collaboration
9
Publish to Web
9
Publish to PDF
7
Report Versioning
8
Report Delivery Scheduling
8
Delivery to Remote Servers
7
Pre-built visualization formats (heatmaps, scatter plots etc.)
Not Rated
Location Analytics / Geographic Visualization
6
Predictive Analytics
7
Multi-User Support (named login)
7
Role-Based Security Model
6
Multiple Access Permission Levels (Create, Read, Delete)
8
Single Sign-On (SSO)
9
Responsive Design for Web Access
Not Rated
Mobile Application
Not Rated
Dashboard / Report / Visualization Interactivity on Mobile
Not Rated
REST API
Not Rated
Javascript API
Not Rated
iFrames
Not Rated
Java API
Not Rated
Themeable User Interface (UI)
Not Rated
Customizable Platform (Open Source)
Not Rated