SAP Predictive Analytics Reviews

Vendor: SAP

4.3 out of 5

3 reviews
100% willing to recommend

What is SAP Predictive Analytics?

SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. Unlock the potential of Big Data from virtually any source with the power of predictive automation. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software makes it easier to make better, more profitable decisions across the enterprise.

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SAP Predictive Analytics is the #25 ranked solution in top Data Science Platforms. PeerSpot users give SAP Predictive Analytics an average rating of 8.6 out of 10. Based on the analysis of the 3 most recent SAP Predictive Analytics reviews, the overall sentiment is positive, with a sentiment score of 7.1. SAP Predictive Analytics is most commonly compared to Microsoft Azure Machine Learning Studio: SAP Predictive Analytics vs Microsoft Azure Machine Learning Studio.

Buyer's Guide

Data Science Platforms

December 2024

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Featured reviews

Gary Cook

Executive at Empowered Analytics

My rating for SAP Predictive Analytics would be an eight out of ten. If I have to be bold, I'll probably say that we're building away hours, and we are actually putting a lot of the actual predicting stuff back into the warehouse. So running it very bi-directionally. So I'm not sure what its integration features are at the moment, but that's an area we're going to look into in the next month or so.

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Abdul-Rasool

Senior Practice Manager - Head of SAP at KPI Partners

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

Senior Consultant, Predictive Analytics at a tech services company with 51-200 employees

* Ease of use. Can get results quickly. * Intuitive understanding of different data types. Saves time and effort. * Descriptive statistics of my dataset. Serves as logical justification for the predictions. * Presents output in visual form (Predictive Power/Reliability, Key Contributors). Can quickly assess quality of model and gather insights at a glance. * Alerts regarding suspicious variables. Enables quick fixes to model. * Dataset modeling functionality. Can be used to quickly enrich the dataset using just a few clicks, as opposed to spending a lot of time considering the different enrichment possibilities and then spending the time to build the dataset accordingly. * Confusion Matrix. Good for setting the right threshold value.

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SAP Predictive Analytics mindshare

As of December 2024, the mindshare of SAP Predictive Analytics in the Data Science Platforms category stands at 0.4%, down from 0.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Data Science Platforms

Key learnings from peers

Last updated Dec 6, 2024

Valuable Features

"I think the features of the actual ability to forecast and pull trends and correlations has been really good."
"The most valuable features are the analytics and reporting."