SAP Predictive Analytics Room for Improvement

AR
Senior Practice Manager - Head of SAP at a tech consulting company with 201-500 employees

This solution works for acquired data but not live, real-time data. If we connect it to a live backend system then we cannot perform predictive analytics on top of that. We have to first upload data to the cloud, manage the staging environment, and then perform the analysis.

In the next release of this solution, I would like to see more automation in generating the models. The system can suggest the dimensions and measures that should be used, and pre-populate some of the information based on that. Power users would not have as much need for this, but this type of automation would be very helpful for business end-users.

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it_user719352 - PeerSpot reviewer
Senior Consultant, Predictive Analytics at a tech services company with 51-200 employees
  1. Dataset modeling functionality could be easier to use.
  2. Neural network interface for examining complex data types like pictures, audio, etc. But I suppose the Leonardo – TensorFlow integration might be taking care of that.
  3. Data exploration features could be improved, so that instead of only observing the standard deviation or variance of a column, you can also see the skew and kurtosis.
  4. Data transformation features. I’m not sure if it is possible to normalize the dataset using log transformations and such, but a quick way to do that would be nice.
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Gary Cook - PeerSpot reviewer
Executive at Empowered Analytics

We've looked at the ability of customer churn, propensity to develop customers and ideas of what makes the ideal customer. We are reaching out to try and predict from a database of what customers would be matching.

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