SAS Visual Analytics

Score7.6 out of 10

75 Reviews and Ratings

What is SAS Visual Analytics?

SAS Visual Analytics provides a complete platform for analytics visualization, enabling users to identify patterns and relationships in data that weren't initially evident. Interactive, self-service BI and reporting capabilities are combined with out-of-the-box advanced analytics so everyone can discover insights from any size and type of data, including text.

Categories & Use Cases

Media

Explore your data using analytics and interactive data visualizations.

Report sharing and collaboration
Report sharing and collaboration is the ability to easily share reports with others.
Category average: 8.1
Report Delivery Scheduling
Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.
Category average: 8.3
Pre-built visualization formats (heatmaps, scatter plots etc.)
Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.
Category average: 7.8

Role-Based Security Model
Role-based access means that access to data is determined by job or position in the corporation.
Category average: 8.3
Multiple Access Permission Levels (Create, Read, Delete)
Multiple access permission levels means that different levels of users have different rights.
Category average: 8.2
Single Sign-On (SSO)
Allows users to use one set of login credentials to access multiple applications
Category average: 8.6

Raman Ahuja View profile

Associate Consultant in Information Technology at Tata Consultancy Services (10,001+ employees employees)

Use Cases and Deployment Scope

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.

Pros

Provides the flexibility to the end user to slice and dice the data.
Anyone can make predictive models with the help of in-built algorithms without the need to write a single line of code or knowledge of what's under the hood of algorithms.
The feature to simply ask a question related to data and getting a response in form of text, chart or graph is amazing.

Cons

SAS Business Intelligence is very expensive.
There is a steep learning curve to be proficient at using SAS Business Intelligence even for people experienced with BASE SAS.
Limited functionality as it doesn't integrate with open source tools like Julia, Python or R.

Return on Investment

End users of dashboards are more self reliant in terms of making changes to reports.
One doesn't need to use other software for basic predictions and forecasts.
Decision making has become prompt and data backed as people are equipped with reports and insights anywhere and with any device.

Alternatives Considered

Visual Studio IDE

Other Software Used

Adobe Advertising Cloud (formerly Adobe Media Optimizer), Adobe Analytics

Usability

Verified User

Analyst in Corporate (1001-5000 employees employees)

Use Cases and Deployment Scope

SAS Visual Analytics is used to keep the data in a presentable way which helps in finding any data in less span of time without wasting time.

The business problem we address is data found at the time when we need but it took too much time to find out accurate data at the moment which is now possible through the SAS Visual Analytics software. It provides accurate data within less span of time in a very systematic way.

Pros

It helps in providing the accurate analysis
It helps in Better understanding the data
It helps is sharing the data easily

Cons

Sometimes it gives the biased data
It need to provide tutorials for new beginners

Return on Investment

The SAS Visual Analytics has helped us in getting the big client as we have successfully showed them the accurate data in the meetings
We have increased 17% ROI after using the tool.

Tapan Jain View profile

Data Analyst at Criteo (1001-5000 employees employees)

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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.

Alternatives Considered

Tableau Desktop

Other Software Used

Tableau Desktop, Oracle Advanced Analytics

Donald Wildeboer View profile

Information Analyst in Research & Development at Agriculture Financial Services Corporation (501-1000 employees employees)

Use Cases and Deployment Scope

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.

Pros

I use SAS daily to not only analyze data, producing reports and other outputs, but also to replicate our entire financial system to verify/duplicate calculations.
Using SAS we are able to duplicate all business logic and system calculations on our local desktop.
When there is odd behavior (a bug) in our financial calculations my SAS programs, which are entirely external to our core system, are often used to help identify what/where the problems occurred.

Cons

The cost for SAS Business Intelligence con prove to be a little bit prohibitive.
The training for SAS Business Intelligence is often difficult to arrange and has often been canceled due to not enough people enrolled.
Support at Universities used to be limited but I hear that this is changing.

Other Software Used

Microsoft BI, MS SharePoint, Microsoft Access, SAP CRM, Cherwell Service Management

Jean-François Ducré-Robitaille View profile

Statistician in Information Technology at Ministère des Affaires municipales et de l'Occupation du territoire (201-500 employees employees)

Pros

Very fast, even with tens of millions of records
Nice visually
Simple to use with mostly drag and drop

Cons

Sorting with values not used in a chart or table
Views built from a table instead of always creating a table

SAS Visual Analytics

What is SAS Visual Analytics?

Categories & Use Cases

Media

Key Features

Top Performing Features

Report sharing and collaboration

Report Delivery Scheduling

Pre-built visualization formats (heatmaps, scatter plots etc.)

Areas for Improvement

Role-Based Security Model

Multiple Access Permission Levels (Create, Read, Delete)

Single Sign-On (SSO)

Reviews

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Usability

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Alternatives Considered

Other Software Used

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