The document outlines SAP HANA's capabilities in in-database predictive analytics, enabling businesses to gain better insights through various applications like demand signal management and fraud management. It highlights features such as native algorithms for predictive analysis, integration with R scripting, and graphical modeling for easier app development. SAP HANA aims to accelerate predictive scoring and analysis, providing businesses with tools for efficient data processing and analytics.

1. In-database Predictive Analytics with SAP HANA
Transform Your Future with Better Business Insight using Predictive Analytics
SAP Industry &
LoB Applications
Client Tools
SAP Predictive Analysis BI clients:
- SAP Lumira
Rapid-Deployment
Solutions (RDS)
Partner Tools
& Solutions
- Predictive Analytics RDS
- Demand Signal Management
- Fraud Management
- Precision Gaming
- Audience Discovery & Targeting
- Over 20 other Apps
SAP HANA
In-Memory In-database Predictive Analysis
In-Memory Processing Engine
Association Analysis
Relational
Engine
Cluster Analysis
Text Pre-processing
Engine
Calculation Engine
Classification
Analysis
PAL 1
Time Series Analysis
R-Scripts 2
R-Engine
Outlier Detection
Link Prediction
Data Preparation
HANA
Studio
Predictive Analysis Libraries
(PAL)
1
Accelerate predictive analysis and
scoring with native in-database
algorithms delivered out-of-the-box.
Graphical Modeling
2
R Integration
HANA Studio for app developers.
Pre-built commonly utilized business
& predictive algorithms to facilitate a
faster and easier development.
Execute R scripts via high
performing parallelized connection.
Embed R scripts as part of overall
query plan.
www.saphana.com/predictive
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