Maximierung des Geschäftserfolgs durch SAP Predictive Analytics. Andreas Forster, May 2014

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1 Maximierung des Geschäftserfolgs durch SAP Predictive Analytics Andreas Forster, May 2014

2 Legal Disclaimer The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP. This presentation is not subject to your license agreement or any other service or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation and SAP's strategy and possible future developments, products and or platforms directions and functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information in this document is not a commitment, promise or legal obligation to deliver any material, code or functionality. This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. This document is for informational purposes and may not be incorporated into a contract. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP s willful misconduct or gross negligence. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions SAP (Schweiz) AG or an SAP AG. affiliate All rights company. reserved. All rights reserved. 3

3 Agenda Business Examples Predictive Analytics Marketing Optimization Demo SAP s Approach Questions and Answers 2014 SAP (Schweiz) AG. All rights reserved. 4

4 Business Examples Predictive Analytics

5 2014 SAP (Schweiz) AG. All rights reserved. 6

6 2014 SAP (Schweiz) AG. All rights reserved. 7

7 2014 SAP (Schweiz) AG. All rights reserved. 8

8 2014 SAP (Schweiz) AG. All rights reserved. 9

9 2014 SAP (Schweiz) AG. All rights reserved. 10

10 2014 SAP (Schweiz) AG. All rights reserved. 11

11 2014 SAP (Schweiz) AG. All rights reserved. 12

12 Marketing Optimization Demo

13 2014 SAP (Schweiz) AG. All rights reserved. 14

14 2014 SAP (Schweiz) AG. All rights reserved. 15

15 2014 SAP (Schweiz) AG. All rights reserved. 16

16 2014 SAP (Schweiz) AG. All rights reserved. 17

17 2014 SAP (Schweiz) AG. All rights reserved. 18

18 2014 SAP (Schweiz) AG. All rights reserved. 19

19 2014 SAP (Schweiz) AG. All rights reserved. 20

20 2014 SAP (Schweiz) AG. All rights reserved. 21

21 2014 SAP (Schweiz) AG. All rights reserved. 22

22 2014 SAP (Schweiz) AG. All rights reserved. 23

23 SAP s Approach

24 Analytics solutions from SAP Cloud Mobile Agile Visualization Advanced Analytics Big Data Enterprise Business Intelligence Collaboration

25 Advanced Agile Visualization Advanced Analytics Analytics Enterprise Business Intelligence

26 SAP Advanced Analytics Solutions Embed Smart Agile Analytics into Decision Processes to Deliver Business Impact One Integrated Platform for Efficient Big Data In-Memory Predictions. Business Users benefit from the Predictions by using the output within their daily processes and activities SAP (Schweiz) AG. All rights reserved. 27

27 Three types of users with SAP Predictive Analytics Data Scientist Create complex predictive models and simulations Validate predictive business requirements Publish results back to source Data Analysts Transform and enrich data source(s) Create simple predictive models and simulations Visualize results and publish to BI Platform Executives/ Business Users Interact with published predictive analysis Visualize results in context of use case Collaborate with colleagues toward closure/action.001% ~3% 97% Representative User Base

28 SAP InfiniteInsight (formerly KXEN) Delivers Insight Faster and Easier In-database Automated Dataset Production Automated model creation Classification Regression Clustering Forecasts In-database Deployment Deployment in other apps Model productionization Control Recalibration Batch production 2014 SAP (Schweiz) AG. All rights reserved. 30

29 What s so special about SAP Predictive Analysis? Advanced Visualization Direct access to Advanced Visualizations Superset solution includes SAP Lumira library Stunning visualizations Ease of Use Drag & drop data selection, preparation, processing Easy sharing /collaboration of findings Built for business analysts Rich Pre-Built Modelling Functionality Automatic Data Preparation Classification Regression Anomaly Detection Attribute Importance Association Rules Clustering Feature extraction R Data Mining Language Support Native installer included ~12 R algorithms included 3,500+ R Model library and growing Custom R, JAVA, etc. Multi Language Support English German Spanish Portuguese French Japanese Italian Integration Native integration with SAP HANA Leverage existing BOBJ universes Publish actionable results to mobile & BI clients 2014 SAP (Schweiz) AG. All rights reserved. 32

30 HANA Predictive Algorithm Library (PAL) Clustering Affinity Propagation Anomaly Detection DBSCAN Agglomerate Hierachical Clustering K-means Self-Organizing Maps Slight Silhouette Classification Bi-Variate Geometric Regression Bi-Variate Natural Logarithmic Regression C4.5 Decision Tree CHAID Decision Tree Exponential Regression KNN Logistic Regression Multiple Linear Regression Naïve Bayes Association Apriori Time Series Single Exponential Smoothing Double Exponential Smoothing Triple Exponential Smoothing Forecast Smoothing Preprocessing Binning Convert Category Type to Binary Inter-quartile Range Test Partition Sampling Scaling Range Substitute Missing Values Statistics Univariate Statistics Multivariate Statistics Chi-squared Test for Fitness Chie-suared Test for Independence Variance Equal Test Social Network Analysis Link Prediction Miscellaneous ABC Analysis Weighted Score Table For Updates see: ctive_analysis_library_pal_en.pdf Polynomial Regression Variance Test 2014 SAP (Schweiz) AG. All rights reserved. 33

31 Simplified Analytical Executive Summary Application Development With SAP HANA Studio/Modeler Rapid Analytical Application Development SAP HANA application function modeler enables simplified model driven access to native functions and PAL algorithms in the SAP HANA Studio Overview Graphical User Interface to create procedures using functions and PAL algorithms Models are stored as repository objects and can easily be re-used for various applications Drag and drop list of available functions Easily select input/output tables, parameters, and filters, and generate procedures 2014 SAP (Schweiz) AG. All rights reserved. 34

32 R Integration with or without SAP HANA What is R? R is a software environment for statistical computing and graphics Open Source statistical programming language Over 3,500 add-on packages; ability to write your own functions Widely used for a variety of statistical methods More algorithms and packages than SAS + SPSS + Statistica Who s using it? Growing number of data analysts in industry, government, consulting, and academia Cross-industry use: high-tech, retail, manufacturing, CPG, financial services, banking, telecom, etc. Why do they use it? Free, comprehensive, and many learn it at college/university Offers rich library of statistical and graphical packages 2014 SAP (Schweiz) AG. All rights reserved. 35

33 R Integration Component Created by R Expert Leveraged by End User 2014 SAP (Schweiz) AG. All rights reserved. 36

34 Predictive Analysis / KXEN Integrated Roadmap Overview Q4/2013 Q1/2014 Q2/2014 Q3/2014 Q4/2014 KXEN ATS Release Current stable KXEN (InfiniteInsight + Factory) standalone with SAP Branding Target RTC: Dec 6, 2013* ATS + 1 (new features) KXEN InfiniteInsight 7.0 Geolocation Hadoop/Hive + Improved Regression ATS + 2 (FINAL RELEASE) KFL (KXEN Foundation Library) Maintenance mode Predictive Analysis PA 1.14 HTML 5 UI Lumira re-integration PA 1.15 KXEN Modeler modules integrated into Predict tab KFL PA 1.16 KXEN Modeler integrated KXEN Explorer primary use cases integrated KXEN Factory TBD 2014 SAP (Schweiz) AG. All rights reserved. 37

35 More than 4000 SAP Advanced Analytics Customers 2014 SAP (Schweiz) AG. All rights reserved. 38

36 Call to Action Evaluate the benefits for your company. Talk to SAP. Talk to me. Have Fun! 2014 SAP (Schweiz) AG. All rights reserved. 39

37 Questions and Answers 2014 SAP (Schweiz) AG. All rights reserved. 40

38 Thank you Contact information: Andreas Forster SAP Switzerland Solution Advisor 2014 SAP (Schweiz) AG. All rights reserved.

39 2013 SAP AG or an SAP affiliate company. All rights reserved. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP AG. The information contained herein may be changed without prior notice. Some software products marketed by SAP AG and its distributors contain proprietary software components of other software vendors. National product specifications may vary. These materials are provided by SAP AG and its affiliated companies ("SAP Group") for informational purposes only, without representation or warranty of any kind, and SAP Group shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP Group products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty. SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP AG in Germany and other countries. Please see for additional trademark information and notices SAP (Schweiz) AG or an SAP AG. affiliate All rights company. reserved. All rights reserved. 43

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