SAP Predictive Analytics
SAP Predictive Analysis is a statistical analysis, data mining and predictive analytics solution. The solution enables to build predictive models to discover hidden insights and relationships in data, in order to make accurate predictions about future events.
Predictive Analytics Software
SAP Predictive Analytics : SAP Predictive Analysis is a statistical analysis, data mining and predictive analytics solution. The solution enables to build predictive models to discover hidden insights and relationships in data, in order to make accurate predictions about future events. SAP’s predictive analytics software works with the legacy data environment as well as with the SAP Platform data sources.SAP Predictive Analysis inherits data acquisition and data manipulation functionality from SAP Lumira. Power Users can extend SAP Predictive Analytics and customize the functionality of SAP Predictive Analysis by adding their own R-Scripts. This is done using the Custom R Components, which business users also can work with without advanced R skills. SAP Predictive Analytic solution allows to build predictive models to gain unprecedented insight into customers from acquisition through cross-sell, up-sell, churn prevention, and generally taking the next best action with every interaction, across every customer channel.
SAP deliveres a complete data discovery, visualization, and predictive analytics solution designed to extend the current analytics capability and skillset, regardless of the history with BI. SAP Preductuve Analytics Solution is an intuitive, drag-and-drop, code-free experience with enough power for data scientists to conduct more sophisticated analysis using Big Data, yet simple enough to allow business analysts to conduct forward-looking analysis using departmental data from Excel. SAP Predictive Analytics lets to quickly, intuitively, design the predictive models. There is also increased accuracy by including all potentially predictive variables and eliminating manual errors, there by making the Predictive analytics process easy.
Features of SAP Predictive Analysis :
- For data acquisition and data manipulation the solution relies on SAP visual intelligence.
- Connectivity to data sources : Universe (UNV?UNX), Java database (JDBC), XLS,CSV and SAP HANA.
- SAP HANA’s predictive analysis library provides the simplified UX for in memory predictive analysis.
- R integration.
- Visualizations and predictive modeling mark up language (PMML) support.
- Integration with SAP Lumira workflow.
Process in SAP Predictive Analytics :
- Load your data from any source.
- Create, discover, manipulate and visualize the results.
- Apply predictive models and publish the results.
Algorithms in SAP Predictive Analytics:
- Native algorithms where the logic is implemented natively in Predictive analytics core.
- Desktop R algorithms which are implemented with R scripts that are run against a local R installation.
- HANA algorithms which are implemented on top of Predictive Analysis Library functions, they run in-database in HANA.
- HANA-R algorithms which are implemented as R-scripts run against a R server connected to a HANA box.
Some of the features of SAP Predictive Analytics includes, automated data preparation, modeling and deployments tasks, models in minutes or hours, visualize, discover, and share hidden insights, scales for terabytes and petabytes of data, rapid insight from 1,000’s and 10,000’s of variables with no expert intervention. It is also possible to embed Predictive in to Apps and BI environments for greater consumption and evangelism of your predictive insights. The solution also allow traditional BI-users to consume predictive insights from within their daily BI clients.SAP Predictive Analytics
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More Information on Predictive Analysis Process
For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.