What analytics features does SAP Predictive Analytics offer?
February 2016

SAP Predictive Analytics uses statistical analysis and data-modeling logic to create meaningful predictions about future events. Here's a breakdown of its main components.

Connected devices and the Internet of Things have led to an enormous data explosion. These vast amounts of data can offer a competitive advantage to companies that are able to gain insight from them. SAP Predictive Analytics is one tool that deserves consideration. It takes this untapped data, and applies data modeling and analysis logic to it. Then, in turn, it generates a realistic prediction of future events.


Before delving into what SAP Predictive Analytics offers in terms of data analytics capabilities, it is important to first understand that Predictive Analytics combines SAP InfiniteInsight and SAP Predictive Analysis into a single data analysis product, while still retaining two distinct tool sets -- Automated Analytics for business users and Expert Analytics for data scientists and business analysts.

Here are the salient features of each of the two tool sets of SAP Predictive Analytics:

Automated Analytics

· Data Manager helps business users easily prepare data for analysis.

· Modeler enables business users to create data models, such as regression, clustering, time series and classification. Data models created in a test or simulated environments are easy to extract and transport to production environments.

· Social extracts and uses data stored in different data sets to improve the decision-making and prediction capabilities of data models. Using graphs, it can represent how different data logically connects with one another.

· Recommendation creates product recommendations for customers based on social network analysis.

· Model Manager lets business users "retrain" models on different data sets. Model Manager has to be separately installed, as it is only installed when the company installs Predictive Analytics.

Expert Analytics

· Data Analysis offers several data analysis options, such as forecasting, time series, trend analysis, outlier detection, segmentation analysis and affinity analysis.

· Data Visualization offers several data visualization techniques, such as decision trees, parallel coordinates, scatter matrix charts and cluster charts.

· Data Analytics features a large range of predictive algorithms, in-memory data mining capabilities and R open source statistical analysis.

With Predictive Analytics, SAP has tried to make the transition smooth for people previously using either SAP InfiniteInsight or SAP Predictive Analysis by providing almost all of the features available in two independent data analytics products. However, the roadmap points toward a unified user interface to give the uniform look and feel of Predictive Analytics.

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