SAP Predictive Analytics Reviews

Name: SAP Predictive Analytics
Brand: SAP
Rating: 4 (3 reviews)

Vendor: SAP

4.3 out of 5

3 reviews
100% willing to recommend

What is SAP Predictive Analytics?UNIXBusinessApplication
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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 #24 ranked solution in top Data Science Platforms. PeerSpot users give SAP Predictive Analytics an average rating of 8.6 out of 10. SAP Predictive Analytics is most commonly compared to Microsoft Azure Machine Learning Studio: SAP Predictive Analytics vs Microsoft Azure Machine Learning Studio. SAP Predictive Analytics is popular among the large enterprise segment, accounting for 74% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a educational organization, accounting for 13% of all views.

Buyer's Guide

Data Science Platforms

April 2024

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Helped 769,789 peers since 2012

Featured reviews

Gary Cook

Executive at Empowered Analytics

Jan 12, 2020

We mainly use this program as a customer management system. We're looking at optimizing customer portfolio management and improving the aggregated lifetime values of the portfolio from one period to the next Well, this is difficult for me to answer because that's more on the team side. But I…

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Abdul-Rasool

Senior Practice Manager - Head of SAP at KPI Partners

Jan 7, 2020

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

Aug 17, 2017

* 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 market share

As of April 2024, the market share of SAP Predictive Analytics in the Data Science Platforms category stands at 0.3%, marking a decrease of 46.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Data Science Platforms

Key learnings from peers

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."