SAS Visual Analytics Review

It enables forecasting without a background in statistics, but data preparation and management need work.

What is most valuable?

  • Visual analytics
  • Reporting
  • Predictions features

How has it helped my organization?

We have detected a high margin group of customers with very little work.

What needs improvement?

Data preparation, and data management need work, as without Enterprise Guide, if you use SAS/VA alone (not SAS/VA pro), it will be hard to do the data preparation.

Forecasting is a very easy tool to use, and you don't need a great background on statistics. However, if you need to do forecasting with many groups of data in an industrialized way, then SAS/VA is not a suitable solution, because forecasting in SAS/VA is easy, but it needs a lot of manual work.

For how long have I used the solution?

I've used it for one year, alongside other SAP products such as SAS/Enterprise Guide.

What was my experience with deployment of the solution?

Data preparation problems, as SAS/VA needs a big, aggregated (all columns) table to work well. We didn't know the importance of data preparation.

What do I think about the scalability of the solution?

We work in the cloud, and therefore it was quick and easy to implement.

How are customer service and technical support?

Customer Service:

I would rate them high as they're good and quick.

Technical Support:

I would rate them high as they're good and quick.

Which solution did I use previously and why did I switch?

I knew Business Objects and QlikView. I started with SAS/VA because the client needed prediction and forecasting features.

What about the implementation team?

I used a vendor team whose expertise was high. There was also a third party consulting team, with high-medium expertise

What's my experience with pricing, setup cost, and licensing?

The initial cost is just for the licenses, and the day-to-day cost is the consulting services.

Which other solutions did I evaluate?

We also looked at Qlikview. It was good at visualization, but poor about prediction and forecasting features, so we chose SAS Visual Analytics.

What other advice do I have?

It's important to have a data preparation tool like SAS/Enterprise Guide if your data model is complex or your volume of data high.

**Disclosure: I am a real user, and this review is based on my own experience and opinions.
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1 Comment

author avatarSenior Systems Engineer at a tech company with 10,001+ employees

Great to hear feedback from a long term real-world situation!