A good tool on advanced analytics
May 22, 2018

A good tool on advanced analytics

Rishi Bavishi, CSSGB, CAPM | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with SAS Advanced Analytics

Currently, in our organization, SAS is used for highly statistical analysis of customer engagement data. We also use for forecasting the customer engagement pattern with SAS. In this capacity, we use a special tool called Forecasting Studio for Desktop as well which has built-in models available for statistical and events based forecasting.
  • SAS is can be used as query builder tool which can automate a lot of excel process.
  • There are variety of statistical options available that tie up good visual analytics.
  • There are inbuilt models available for different operations which doesn't require any coding and are easy to run.
  • Query builders have less functionality compared to some tools like alteryx.
  • Modifying and customizing outputs are still a cumbersome process.
  • Coding for special tasks is difficult and lengthy.
  • SAS has provided a good statistical analysis but tool training is required.
  • A good POC of tools is required as for our industry it did not become very much effective by not having great level of flexibility.
We had major use of SAS in forecasting where it doesn't require high level of coding knowledge and which has highly efficient models built in which can give good results on forecasts without lot of manual intervention. This tool was designed specifically for forecasting and hence was always a better choice compared to other tools.
SAS is useful where you have special coding skills available on a team for this language and thus makes it a very useful tool in visual analytics as well as forecasting and data mining. While the software costs are really high, there are tools that are open source which can be useful for medium level tasks.