An In-Depth Look at In-Memory Predictive Analytics for Developers

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "An In-Depth Look at In-Memory Predictive Analytics for Developers"

Transcription

1 September 9 11, 2013 Anaheim, California An In-Depth Look at In-Memory Predictive Analytics for Developers Philip Mugglestone SAP

2 Learning Points Understand the SAP HANA Predictive Analysis library (PAL) and R Integration for SAP HANA Understand how SAP Predictive Analysis interacts with SAP HANA Understand which approach is best leveraged when 2

3 Competitive Advantage Extend Your Analytics Capabilities Where You Want to Be Sense & Respond Predict & Act Optimization Raw Data Cleaned Data Standard Reports Ad Hoc Reports & OLAP Generic Predictive Analytics Predictive Modeling Why did it happen? What will happen? What is the best that could happen? What happened? Analytics Maturity The key is unlocking data to move decision making from sense & respond to predict & act 2013 SAP AG. All rights reserved. 3

4 Why Predictive Now? Increased Business Interest Increased Data Value (Big Data) Increasing Technology Performance Now that BI users know what happened, they are asking why and what s likely to happen next Explosive demand from sales, marketing, and call center analyses fraud, and government intelligence/ security agencies Exploding data volume Expanding data varieties Parallel processing, faster CPUs, and in-memory technologies reduce time and cost of data processing Changing landscapes and new opportunities 2013 SAP AG. All rights reserved. 4

5 Predictive Analytics with SAP HANA Transforming the Future with Insight Today Unleash the value of Big Data through the power of SAP HANA Employ in-database predictive algorithms Access 3,500+ open-source algorithms via R integration for SAP HANA Intuitively design and visualize complex predictive models SAP Predictive Analysis software Bring predictive insight to everyone in the business Embed within business applications Extend into BI and reports Insight into events instantly delivered to dashboards, alerts, and mobile devices 2013 SAP AG. All rights reserved. 5

6 SAP HANA Predictive Ecosystem SAP Predictive Analysis SAP and Custom Applications Business Intelligence Clients SAP HANA Platform SAP HANA Studio Predictive Analysis Library (PAL) R Integration for SAP HANA R Data Pre-Processing and Loading SAP Data Services, Information Composer, SLT, DXC, Hadoop 2013 SAP AG. All rights reserved. 6

7 SAP HANA In-Memory Predictive Analytics Combine the depth and power of in-memory analytics within SAP HANA with the breadth of R to support a variety of advanced analytic and predictive scenarios Predictive Analysis Library (PAL) Native predictive algorithms In-database processing for powerful and fast results Quicker implementations Support for clustering, classification, association, time series, etc. R Integration for SAP HANA Enables the use of the R open source environment (> 3,500 packages) in the context of the HANA in-memory database R integration enabled via high-performing, parallelized connection R script is embedded within SAP HANA SQL Script 2013 SAP AG. All rights reserved. 7

8 SAP HANA Application Function Library (AFL) AFL Technology includes Application Functions Written in C++ and delivered as AFL content by SAP Predictive Analysis and Business Function Library have been released in SPS05 as AFL content SAP HANA SAP HANA Clients SQLScript Parameter Table AFL Framework On demand library loading framework for registered and supported libraries AFL are consumed for use from SQL Script via socalled wrapper-procedures Consumption can be controlled via permissions Beyond the initial script-based approach, the Application Function Modeler provides a graphical editor to facilitate the design-time process of creating the wrapper-procedures and can easily be re-used as part of development workflow Application Functions (C++) Predictive Analysis Library AFL Framework Business Function Library 2013 SAP AG. All rights reserved. 8

9 SAP HANA In-Memory Predictive Analytics Predictive Analysis Library (PAL) Algorithms Supported Association Analysis Apriori & Apriori Lite Cluster Analysis K-Means Kohonen Self-Organized Maps DBSCAN * ABC Classification Classification Analysis C4.5 Decision Tree Analysis CHAID Decision Tree Analysis K-Nearest Neighbor Multiple Linear Regression Polynomial Regression Exponential Regression Bi-Variate Geometric Regression Bi-Variate Logarithmic Regression Logistic Regression Naïve Bayes * Time Series Analysis Single, Double, & Triple Exponential Smoothing Outlier Detection Inter-Quartile Range Test (Tukey s Test) Variance Test Anomaly Detection Data Preparation Sampling, Binning, & Scaling Convert Categorical to Binary Link Prediction * Common Neighbours; Jaccard s Coefficient; Adamic/Adar; Katz β Other Weighted Scores Table * New in SPS SAP AG. All rights reserved. 9

10 SAP HANA Predictive Analysis Library (PAL) Reference SAP AG. All rights reserved. 10

11 Detailed Example 2013 SAP AG. All rights reserved. 11

12 SAP HANA Application Function Modeler New for SAP HANA SP6 Graphical editor to facilitate a faster and easier design-time process of creating the wrapper-procedures AFL models stored as repository objects and easily re-used as part of development workflow Model Editor Drag n drop of functions Template for table types Data source selection and automatic mappings to table types Function List and Search Sample SQL for procedure consumption Library Selection Parameters and specifications for table types 2013 SAP AG. All rights reserved. 12

13 Detailed Example 2013 SAP AG. All rights reserved. 13

14 R Integration for 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 2013 SAP AG. All rights reserved. 14

15 R Integration for SAP HANA Functionality Overview Embedding R scripts within the SAP HANA database execution Enhancements are made to the SAP HANA database to allow R code (RLANG) to be processed as part of the overall query execution plan This scenario is suitable when the modeling and consumption environment sits on SAP HANA and the R environment is used for specific analytic functions Sample Code in SAP HANA SQLScript DROP TABLE "spamclassified"; CREATE COLUMN TABLE "spamclassified" LIKE "spameval" WITH NO DATA; ALTER TABLE "spamclassified" ADD ("classified" VARCHAR(5000)); DROP PROCEDURE USE_SVM; CREATE PROCEDURE USE_SVM( IN train "spamtraining", IN eval "spameval", OUT result "spamclassified") LANGUAGE RLANG AS Send data and R script 1 3 Get back the result from R to SAP HANA 2 Run the R scripts BEGIN library(kernlab) model <- ksvm(type~., data=train, kernel=rbfdot(sigma=0.1)) classified <- predict(model, eval [,- (which(names(eval) %in% "type"))]) result <- as.data.frame(cbind(eval, classified)) END; CALL USE_SVM("spamTraining", "spameval", "spamclassified") WITH OVERVIEW; 2013 SAP AG. All rights reserved. 15

16 R Integration for SAP HANA System Landscape and Requirements Software Requirements: SAP HANA 1.0 SPS4 or later R version 2.13 or later ( R Integration Requirements: SAP does not ship, maintain, or provide training and/or support for the R environment R is an open source project under the GPL license and needs to be downloaded, installed, and configured by the customer The R Integration is currently only supported on SLES 11 SP1 operating system R (and the Rserve 0.6-5) must be installed on a different host machine from the SAP HANA software Recommended to have a 10 GB dedicated link between the R server and HANA server 2013 SAP AG. All rights reserved. 16

17 SAP HANA R Integration Guide SAP AG. All rights reserved. 17

18 Detailed Example 2013 SAP AG. All rights reserved. 18

19 SAP Predictive Analysis Pushes predictive processing into SAP HANA Intuitively design complex predictive models Visualize, discover, and share hidden insights 2013 SAP AG. All rights reserved. 19

20 3 Types of Users for SAP Predictive Analytics Data Scientists Create complex predictive models and simulations Validate predictive business requirements.001% Data Analysts Business Users/Execs Publish results back to source Transform and enrich data source(s) Create simple predictive models and simulations Visualize results and publish to BI Platform Interact with published predictive analysis Visualize results in context of use case Collaborate with colleagues toward closure/action 3% 97% Representative User Base 2013 SAP AG. All rights reserved. 20

21 SAP Predictive Analysis Approaches SAP HANA Predictive Analysis Library algorithms SAP Predictive Analysis (PA) native algorithms Open Source R integration algorithms R Integration for SAP HANA algorithms Analysis performed by SAP HANA (no movement of data) - controlled by SAP PA Data is brought to SAP PA and analysis is performed in the client Data is brought to SAP PA and analysis is performed in the client Analysis is done on R server attached to SAP HANA and controlled by SAP PA 2013 SAP AG. All rights reserved. 21

22 Detailed Example 2013 SAP AG. All rights reserved. 22

23 Which One When? Developer SAP HANA Predictive Analysis Library R Integration for SAP HANA SAP Predictive Analysis Business User In-Memory Performance Flexibility 2013 SAP AG. All rights reserved. 23

24 Which One When? Number of users User Personas 500/5,000 Embedded Predictive Analysis Industry applications LOB applications BI client tools Application End User Information Consumer Interactive Consumer 50/100 Large number SAP PA visualization SAP PA wizard All Personas Business Analyst/Interactive Consumer 5/20 SAP PA designer SAP HANA PAL & R Business Analyst Professional Data Analyst Applications Developer Bi-directional 2013 SAP AG. All rights reserved. 24

25 SAP AG. All rights reserved. 25

26 SAP AG. All rights reserved. 26

27 SAP AG. All rights reserved. 27

28 SAP AG. All rights reserved. 28

29 Key Learnings The time for Predictive Analytics has come! SAP HANA Predictive Analysis Library (PAL) Depth for developers: Native, in-memory optimized, amazing performance R Integration for SAP HANA Breadth for developers: Open, extensible, and flexible SAP Predictive Analysis Business focus: Exploit SAP HANA s predictive capabilities without coding Amazing visualizations Extensive learning resources from the SAP HANA Academy 29

30 Thank You! Contact information: Philip

31 Thank you for participating. Please provide feedback on this session by completing a short survey via the event mobile application. SESSION CODE: 1104 Learn more year-round at

Predictive Analytics Powered by SAP HANA. Cary Bourgeois Principal Solution Advisor Platform and Analytics

Predictive Analytics Powered by SAP HANA. Cary Bourgeois Principal Solution Advisor Platform and Analytics Predictive Analytics Powered by SAP HANA Cary Bourgeois Principal Solution Advisor Platform and Analytics Agenda Introduction to Predictive Analytics Key capabilities of SAP HANA for in-memory predictive

More information

Wettbewerbsvorsprung durch SAP Predictive Analysis. Andreas Forster / Solution Advisor June 2013

Wettbewerbsvorsprung durch SAP Predictive Analysis. Andreas Forster / Solution Advisor June 2013 Wettbewerbsvorsprung durch SAP Predictive Analysis Andreas Forster / Solution Advisor June 2013 Agenda Introduction to Predictive Analysis Use Cases, Demo & Customers Predictive Applications High Performance

More information

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

Maximierung des Geschäftserfolgs durch SAP Predictive Analytics. Andreas Forster, May 2014 Maximierung des Geschäftserfolgs durch SAP Predictive Analytics Andreas Forster, May 2014 Legal Disclaimer The information in this presentation is confidential and proprietary to SAP and may not be disclosed

More information

Unleash SAP Hana Predictive Power. Alexis Fouquier BI & Data Warehousing, SAP EMEA November 2012

Unleash SAP Hana Predictive Power. Alexis Fouquier BI & Data Warehousing, SAP EMEA November 2012 Unleash SAP Hana Predictive Power Alexis Fouquier BI & Data Warehousing, SAP EMEA November 2012 Agenda The Business Case for Advanced Analytics SAP s Predictive Analytics Strategy Predictive Analytics

More information

Demonstration of SAP Predictive Analysis 1.0, consumption from SAP BI clients and best practices

Demonstration of SAP Predictive Analysis 1.0, consumption from SAP BI clients and best practices September 10-13, 2012 Orlando, Florida Demonstration of SAP Predictive Analysis 1.0, consumption from SAP BI clients and best practices Vishwanath Belur, Product Manager, SAP Predictive Analysis Learning

More information

SAP Solution Brief SAP HANA. Transform Your Future with Better Business Insight Using Predictive Analytics

SAP Solution Brief SAP HANA. Transform Your Future with Better Business Insight Using Predictive Analytics SAP Brief SAP HANA Objectives Transform Your Future with Better Business Insight Using Predictive Analytics Dealing with the new reality Dealing with the new reality Organizations like yours can identify

More information

Extend your analytic capabilities with SAP Predictive Analysis

Extend your analytic capabilities with SAP Predictive Analysis September 9 11, 2013 Anaheim, California Extend your analytic capabilities with SAP Predictive Analysis Charles Gadalla Learning Points Advanced analytics strategy at SAP Simplifying predictive analytics

More information

SAP HANA Update Overview of SAP HANA SPS 08

SAP HANA Update Overview of SAP HANA SPS 08 SAP HANA Update Overview of SAP HANA SPS 08 SAP HANA Rob Lightfoot - SAP MENA, 2014 V2.0 Disclaimer This presentation outlines our general product direction and should not be relied on in making a purchase

More information

SAP Predictive Analytics: An Overview and Roadmap. Charles Gadalla, SAP @cgadalla SESSION CODE: 603

SAP Predictive Analytics: An Overview and Roadmap. Charles Gadalla, SAP @cgadalla SESSION CODE: 603 SAP Predictive Analytics: An Overview and Roadmap Charles Gadalla, SAP @cgadalla SESSION CODE: 603 Advanced Analytics SAP Vision Embed Smart Agile Analytics into Decision Processes to Deliver Business

More information

Predictive Analytics

Predictive Analytics Predictive Analytics How many of you used predictive today? 2015 SAP SE. All rights reserved. 2 2015 SAP SE. All rights reserved. 3 How can you apply predictive to your business? Predictive Analytics is

More information

Some vendors have a big presence in a particular industry; some are geared toward data scientists, others toward business users.

Some vendors have a big presence in a particular industry; some are geared toward data scientists, others toward business users. Bonus Chapter Ten Major Predictive Analytics Vendors In This Chapter Angoss FICO IBM RapidMiner Revolution Analytics Salford Systems SAP SAS StatSoft, Inc. TIBCO This chapter highlights ten of the major

More information

Agil visualisering och dataanalys

Agil visualisering och dataanalys Agil visualisering och dataanalys True Business and IT collaboration in Analytics Niklas Packendorff @packendorff SAPSA Impuls 2014 Legal disclaimer The information in this presentation is confidential

More information

Unleash the Value of Big Data through Predictive Analytics with SAP HANA

Unleash the Value of Big Data through Predictive Analytics with SAP HANA September 10-13, 2012 Orlando, Florida Unleash the Value of Big Data through Predictive Analytics with SAP HANA Philip Mugglestone SAP Learning Points New market forces are changing the landscape and offering

More information

The Right BI Tool for the Job in a non- SAP Applica9on Environment

The Right BI Tool for the Job in a non- SAP Applica9on Environment September 9 11, 2013 Anaheim, California The Right BI Tool for the Job in a non- SAP Applica9on Environment Speaker Name(s): Ty Miller Full Spectrum Business Intelligence Self Service Dashboards and Apps

More information

SAP Predictive Analytics Roadmap Charles Gadalla SAP SESSION CODE: #####

SAP Predictive Analytics Roadmap Charles Gadalla SAP SESSION CODE: ##### SAP Predictive Analytics Roadmap Charles Gadalla SAP SESSION CODE: ##### LEARNING POINTS What are SAP s Advanced Analytics offerings Advanced Analytics gives a competitive advantage, it can no longer be

More information

Empowering the Masses with Analytics

Empowering the Masses with Analytics Empowering the Masses with Analytics THE GAP FOR BUSINESS USERS For a discussion of bridging the gap from the perspective of a business user, read Three Ways to Use Data Science. Ask the average business

More information

A Few Cool Features in BW 7.4 on HANA that Make a Difference

A Few Cool Features in BW 7.4 on HANA that Make a Difference A Few Cool Features in BW 7.4 on HANA that Make a Difference Here is a short summary of new functionality in BW 7.4 on HANA for those familiar with traditional SAP BW. I have collected and highlighted

More information

Data Mining + Business Intelligence. Integration, Design and Implementation

Data Mining + Business Intelligence. Integration, Design and Implementation Data Mining + Business Intelligence Integration, Design and Implementation ABOUT ME Vijay Kotu Data, Business, Technology, Statistics BUSINESS INTELLIGENCE - Result Making data accessible Wider distribution

More information

Confidently Anticipate and Drive Better Business Outcomes

Confidently Anticipate and Drive Better Business Outcomes SAP Brief Analytics s from SAP SAP Predictive Analytics Objectives Confidently Anticipate and Drive Better Business Outcomes See the future more clearly with predictive analytics See the future more clearly

More information

Introduction to Big Data Analytics p. 1 Big Data Overview p. 2 Data Structures p. 5 Analyst Perspective on Data Repositories p.

Introduction to Big Data Analytics p. 1 Big Data Overview p. 2 Data Structures p. 5 Analyst Perspective on Data Repositories p. Introduction p. xvii Introduction to Big Data Analytics p. 1 Big Data Overview p. 2 Data Structures p. 5 Analyst Perspective on Data Repositories p. 9 State of the Practice in Analytics p. 11 BI Versus

More information

SAP Predictive Analysis: Strategy, Value Proposition

SAP Predictive Analysis: Strategy, Value Proposition September 10-13, 2012 Orlando, Florida SAP Predictive Analysis: Strategy, Value Proposition Thomas B Kuruvilla, Solution Management, SAP Business Intelligence Scott Leaver, Solution Management, SAP Business

More information

Eric Ledu, The Createch Group, a BELL company

Eric Ledu, The Createch Group, a BELL company Eric Ledu, The Createch Group, a BELL company Intelligence Analytics maturity Past Present Future Predictive Modeling Optimization What is the best that could happen? Raw Data Cleaned Data Standard Reports

More information

Make Better Decisions Through Predictive Intelligence

Make Better Decisions Through Predictive Intelligence IBM SPSS Modeler Professional Make Better Decisions Through Predictive Intelligence Highlights Easily access, prepare and model structured data with this intuitive, visual data mining workbench Rapidly

More information

SAP Lumira Cloud: True Self-Service BI Without The Server

SAP Lumira Cloud: True Self-Service BI Without The Server September 9 11, 2013 Anaheim, California SAP Lumira Cloud: True Self-Service BI Without The Server Ashish Morzaria, SAP Christina Obry, SAP Learning Points How to enable self-service BI using Lumira on

More information

IBM SPSS Modeler Professional

IBM SPSS Modeler Professional IBM SPSS Modeler Professional Make better decisions through predictive intelligence Highlights Create more effective strategies by evaluating trends and likely outcomes. Easily access, prepare and model

More information

SAP Predictive Analysis Installation

SAP Predictive Analysis Installation SAP Predictive Analysis Installation SAP Predictive Analysis is the latest addition to the SAP BusinessObjects suite and introduces entirely new functionality to the existing Business Objects toolbox.

More information

SAP Predictive Analysis: Strategy, Value Proposition

SAP Predictive Analysis: Strategy, Value Proposition September 10-13, 2012 Orlando, Florida SAP Predictive Analysis: Strategy, Value Proposition Charles Gadalla, Solution Management, SAP Business Intelligence Manavendra Misra, Chief Knowledge Officer, Cognilytics

More information

SEIZE THE DATA. 2015 SEIZE THE DATA. 2015

SEIZE THE DATA. 2015 SEIZE THE DATA. 2015 1 Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. BIG DATA CONFERENCE 2015 Boston August 10-13 Predicting and reducing deforestation

More information

Session 805 -End-to-End SAP Lumira: Desktop to On-Premise, Cloud, and Mobile

Session 805 -End-to-End SAP Lumira: Desktop to On-Premise, Cloud, and Mobile September 9 11, 2013 Anaheim, California Session 805 -End-to-End SAP Lumira: Desktop to On-Premise, Cloud, and Mobile Ashish C. Morzaria, SAP Disclaimer This presentation outlines our general product direction

More information

Tax Fraud in Increasing

Tax Fraud in Increasing Preventing Fraud with Through Analytics Satya Bhamidipati Data Scientist Business Analytics Product Group Copyright 2014 Oracle and/or its affiliates. All rights reserved. 2 Tax Fraud in Increasing 27%

More information

IBM SPSS Modeler Premium

IBM SPSS Modeler Premium IBM SPSS Modeler Premium Improve model accuracy with structured and unstructured data, entity analytics and social network analysis Highlights Solve business problems faster with analytical techniques

More information

Business Intelligence with SAP BusinessObjects - Analytics Roadmap Venkatesh Vaidyanathan SAP LABS Thomas B Kuruvilla SAP LABS SESSION CODE: 0808

Business Intelligence with SAP BusinessObjects - Analytics Roadmap Venkatesh Vaidyanathan SAP LABS Thomas B Kuruvilla SAP LABS SESSION CODE: 0808 Business Intelligence with SAP BusinessObjects - Analytics Roadmap Venkatesh Vaidyanathan SAP LABS Thomas B Kuruvilla SAP LABS SESSION CODE: 0808 LEARNING POINTS Trends impacting the Business Users and

More information

KnowledgeSTUDIO HIGH-PERFORMANCE PREDICTIVE ANALYTICS USING ADVANCED MODELING TECHNIQUES

KnowledgeSTUDIO HIGH-PERFORMANCE PREDICTIVE ANALYTICS USING ADVANCED MODELING TECHNIQUES HIGH-PERFORMANCE PREDICTIVE ANALYTICS USING ADVANCED MODELING TECHNIQUES Translating data into business value requires the right data mining and modeling techniques which uncover important patterns within

More information

What s Cooking in KNIME

What s Cooking in KNIME What s Cooking in KNIME Thomas Gabriel Copyright 2015 KNIME.com AG Agenda Querying NoSQL Databases Database Improvements & Big Data Copyright 2015 KNIME.com AG 2 Querying NoSQL Databases MongoDB & CouchDB

More information

Mike Maxey. Senior Director Product Marketing Greenplum A Division of EMC. Copyright 2011 EMC Corporation. All rights reserved.

Mike Maxey. Senior Director Product Marketing Greenplum A Division of EMC. Copyright 2011 EMC Corporation. All rights reserved. Mike Maxey Senior Director Product Marketing Greenplum A Division of EMC 1 Greenplum Becomes the Foundation of EMC s Big Data Analytics (July 2010) E M C A C Q U I R E S G R E E N P L U M For three years,

More information

Trends, Strategy, Roadmaps and Product Direction for SAP BI tools in SAP HANA environment

Trends, Strategy, Roadmaps and Product Direction for SAP BI tools in SAP HANA environment September 9 11, 2013 Anaheim, California Trends, Strategy, Roadmaps and Product Direction for SAP BI tools in SAP HANA environment Surya K Dutta surdutta@deloitte.com Analytics New possibilities In-Memory

More information

SAP Predictive Analytics

SAP Predictive Analytics SAP Predictive Analytics What s the best that COULD happen? Bringing predictive analytics to the end user SAP Forum Belgium September 9, 2015 Waldemar Adams @adamsw SVP & GM Analytics SAP Europe, Middle-East

More information

Make Better Decisions Through Predictive Intelligence

Make Better Decisions Through Predictive Intelligence IBM SPSS Modeler Professional Make Better Decisions Through Predictive Intelligence Highlights Easily access, prepare and model structured data with this intuitive, visual data mining workbench Expand

More information

Predictive analytics for the business analyst: your first steps with SAP InfiniteInsight

Predictive analytics for the business analyst: your first steps with SAP InfiniteInsight Predictive analytics for the business analyst: your first steps with SAP InfiniteInsight Pierpaolo Vezzosi, SAP SESSION CODE: 0605 Summary Who said you need a PhD to do sophisticated predictive analysis?

More information

Faculty of Science and Technology MASTER S THESIS. Writer: Piyush Duggal (Writer s signature)

Faculty of Science and Technology MASTER S THESIS. Writer: Piyush Duggal (Writer s signature) Faculty of Science and Technology MASTER S THESIS Study Program / Specialization Computer Science Spring Semester, 2014 Open / Restricted Access Writer: Piyush Duggal (Writer s signature) Faculty supervisor:

More information

Hurwitz ValuePoint: Predixion

Hurwitz ValuePoint: Predixion Predixion VICTORY INDEX CHALLENGER Marcia Kaufman COO and Principal Analyst Daniel Kirsch Principal Analyst The Hurwitz Victory Index Report Predixion is one of 10 advanced analytics vendors included in

More information

EMC Greenplum Driving the Future of Data Warehousing and Analytics. Tools and Technologies for Big Data

EMC Greenplum Driving the Future of Data Warehousing and Analytics. Tools and Technologies for Big Data EMC Greenplum Driving the Future of Data Warehousing and Analytics Tools and Technologies for Big Data Steven Hillion V.P. Analytics EMC Data Computing Division 1 Big Data Size: The Volume Of Data Continues

More information

Pentaho Data Mining Last Modified on January 22, 2007

Pentaho Data Mining Last Modified on January 22, 2007 Pentaho Data Mining Copyright 2007 Pentaho Corporation. Redistribution permitted. All trademarks are the property of their respective owners. For the latest information, please visit our web site at www.pentaho.org

More information

Predictive Analytics: Too Important to Ignore The six secrets to success with predictive analytics

Predictive Analytics: Too Important to Ignore The six secrets to success with predictive analytics Predictive Analytics: Too Important to Ignore The six secrets to success with predictive analytics Webinar December 18, 2013 Sponsored by: Tony Cosentino VP & Research Director, Business Analytics Ventana

More information

Advanced Big Data Analytics with R and Hadoop

Advanced Big Data Analytics with R and Hadoop REVOLUTION ANALYTICS WHITE PAPER Advanced Big Data Analytics with R and Hadoop 'Big Data' Analytics as a Competitive Advantage Big Analytics delivers competitive advantage in two ways compared to the traditional

More information

Tap into Big Data at the Speed of Business

Tap into Big Data at the Speed of Business SAP Brief SAP Technology SAP Sybase IQ Objectives Tap into Big Data at the Speed of Business A simpler, more affordable approach to Big Data analytics A simpler, more affordable approach to Big Data analytics

More information

EVERYTHING THAT MATTERS IN ADVANCED ANALYTICS

EVERYTHING THAT MATTERS IN ADVANCED ANALYTICS EVERYTHING THAT MATTERS IN ADVANCED ANALYTICS Marcia Kaufman, Principal Analyst, Hurwitz & Associates Dan Kirsch, Senior Analyst, Hurwitz & Associates Steve Stover, Sr. Director, Product Management, Predixion

More information

Oracle Big Data Discovery Unlock Potential in Big Data Reservoir

Oracle Big Data Discovery Unlock Potential in Big Data Reservoir Oracle Big Data Discovery Unlock Potential in Big Data Reservoir Gokula Mishra Premjith Balakrishnan Business Analytics Product Group September 29, 2014 Copyright 2014, Oracle and/or its affiliates. All

More information

Oracle Big Data Discovery The Visual Face of Hadoop

Oracle Big Data Discovery The Visual Face of Hadoop Disclaimer: This document is for informational purposes. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development,

More information

Business Intelligence mit SAP: Strategie, Neuerungen, Nutzen. Andreas Forster / Solution Advisor June 2013

Business Intelligence mit SAP: Strategie, Neuerungen, Nutzen. Andreas Forster / Solution Advisor June 2013 Business Intelligence mit SAP: Strategie, Neuerungen, Nutzen Andreas Forster / Solution Advisor June 2013 Agenda SAP Business Intelligence Vision SAP BusinessObjects Suite SAP BusinessObjects BI and SAP

More information

SAP and Hortonworks Reference Architecture

SAP and Hortonworks Reference Architecture SAP and Hortonworks Reference Architecture Hortonworks. We Do Hadoop. June Page 1 2014 Hortonworks Inc. 2011 2014. All Rights Reserved A Modern Data Architecture With SAP DATA SYSTEMS APPLICATIO NS Statistical

More information

IBM SPSS Modeler Professional

IBM SPSS Modeler Professional IBM SPSS Modeler Professional Make better decisions through predictive intelligence Highlights Create more effective strategies by evaluating trends and likely outcomes. Easily access, prepare and model

More information

SAP HANA. Markus Fath, SAP HANA Product Management June 2013

SAP HANA. Markus Fath, SAP HANA Product Management June 2013 SAP HANA Markus Fath, SAP HANA Product Management June 2013 Agenda What is SAP HANA? How do I use SAP HANA? How can I develop applications on SAP HANA? That s it? 2013 SAP AG. All rights reserved. Public

More information

Bringing the Power of SAS to Hadoop. White Paper

Bringing the Power of SAS to Hadoop. White Paper White Paper Bringing the Power of SAS to Hadoop Combine SAS World-Class Analytic Strength with Hadoop s Low-Cost, Distributed Data Storage to Uncover Hidden Opportunities Contents Introduction... 1 What

More information

SAP BusinessObjects BI Clients

SAP BusinessObjects BI Clients SAP BusinessObjects BI Clients April 2015 Customer Use this title slide only with an image BI Use Cases High Level View Agility Data Discovery Analyze and visualize data from multiple sources Data analysis

More information

SAP BusinessObjects Business Intelligence 4.1 One Strategy for Enterprise BI. January 2015 Updated with BI4.1 SP05

SAP BusinessObjects Business Intelligence 4.1 One Strategy for Enterprise BI. January 2015 Updated with BI4.1 SP05 SAP BusinessObjects Business Intelligence 4.1 One Strategy for Enterprise BI January 2015 Updated with BI4.1 SP05 SAP s Strategic Focus on Analytics Solutions Enterprise BI Ubiquitous BI for all users

More information

Top 10 reasons to Accelerate the Move to BI 4.1

Top 10 reasons to Accelerate the Move to BI 4.1 September 9 11, 2013 Anaheim, California Top 10 reasons to Accelerate the Move to BI 4.1 M. Salim Shaikh salim.shaikh@optimalsol.com Session Code: 0503 Why Upgrade? Data Access Improved Semantic Layer

More information

Leveraging BI Tools & HANA. Tracy Nguyen, North America Analytics COE April 15, 2016

Leveraging BI Tools & HANA. Tracy Nguyen, North America Analytics COE April 15, 2016 Leveraging BI Tools & HANA Tracy Nguyen, North America Analytics COE April 15, 2016 Legal disclaimer The information in this presentation is confidential and proprietary to SAP and may not be disclosed

More information

SAP BusinessObjects Business Intelligence 4.1 One Strategy for Enterprise BI. May 2013

SAP BusinessObjects Business Intelligence 4.1 One Strategy for Enterprise BI. May 2013 SAP BusinessObjects Business Intelligence 4.1 One Strategy for Enterprise BI May 2013 SAP s Strategic Focus on Business Intelligence Core Self-service Mobile Extreme Social Core for innovation Complete

More information

White Paper. Redefine Your Analytics Journey With Self-Service Data Discovery and Interactive Predictive Analytics

White Paper. Redefine Your Analytics Journey With Self-Service Data Discovery and Interactive Predictive Analytics White Paper Redefine Your Analytics Journey With Self-Service Data Discovery and Interactive Predictive Analytics Contents Self-service data discovery and interactive predictive analytics... 1 What does

More information

SAP HANA Predictive Analysis Library (PAL)

SAP HANA Predictive Analysis Library (PAL) PUBLIC SAP HANA Platform SPS 10 Document Version: 1.0 2015-06-24 SAP HANA Predictive Analysis Library (PAL) Content 1 What is PAL?.... 5 2 Getting Started with PAL....6 2.1 Prerequisites....6 2.2 Application

More information

Introduction to Data Mining and Machine Learning Techniques. Iza Moise, Evangelos Pournaras, Dirk Helbing

Introduction to Data Mining and Machine Learning Techniques. Iza Moise, Evangelos Pournaras, Dirk Helbing Introduction to Data Mining and Machine Learning Techniques Iza Moise, Evangelos Pournaras, Dirk Helbing Iza Moise, Evangelos Pournaras, Dirk Helbing 1 Overview Main principles of data mining Definition

More information

Three Open Blueprints For Big Data Success

Three Open Blueprints For Big Data Success White Paper: Three Open Blueprints For Big Data Success Featuring Pentaho s Open Data Integration Platform Inside: Leverage open framework and open source Kickstart your efforts with repeatable blueprints

More information

APPROACHABLE ANALYTICS MAKING SENSE OF DATA

APPROACHABLE ANALYTICS MAKING SENSE OF DATA APPROACHABLE ANALYTICS MAKING SENSE OF DATA AGENDA SAS DELIVERS PROVEN SOLUTIONS THAT DRIVE INNOVATION AND IMPROVE PERFORMANCE. About SAS SAS Business Analytics Framework Approachable Analytics SAS for

More information

Predictive Analytics for Procurement Lead Time Forecasting at Lockheed Martin Space Systems

Predictive Analytics for Procurement Lead Time Forecasting at Lockheed Martin Space Systems Orange County Convention Center Orlando, Florida June 3-5, 2014 Session Code: 0204 Predictive Analytics for Procurement Lead Time Forecasting at Lockheed Martin Space Systems Using SAP HANA, R, and the

More information

In-Database Analytics

In-Database Analytics Embedding Analytics in Decision Management Systems In-database analytics offer a powerful tool for embedding advanced analytics in a critical component of IT infrastructure. James Taylor CEO CONTENTS Introducing

More information

ANALYTICS CENTER LEARNING PROGRAM

ANALYTICS CENTER LEARNING PROGRAM Overview of Curriculum ANALYTICS CENTER LEARNING PROGRAM The following courses are offered by Analytics Center as part of its learning program: Course Duration Prerequisites 1- Math and Theory 101 - Fundamentals

More information

Get to Know the IBM SPSS Product Portfolio

Get to Know the IBM SPSS Product Portfolio IBM Software Business Analytics Product portfolio Get to Know the IBM SPSS Product Portfolio Offering integrated analytical capabilities that help organizations use data to drive improved outcomes 123

More information

2015 Workshops for Professors

2015 Workshops for Professors SAS Education Grow with us Offered by the SAS Global Academic Program Supporting teaching, learning and research in higher education 2015 Workshops for Professors 1 Workshops for Professors As the market

More information

SAP BusinessObjects BI Clients. January 2016

SAP BusinessObjects BI Clients. January 2016 SAP BusinessObjects BI Clients January 2016 SAP Analytics and BI Strategy SAP Analytics Strategy SAP Cloud for Analytics Provide new SaaS Analytics capabilities All analytics capabilities in one product

More information

Consumption of OData Services of Open Items Analytics Dashboard using SAP Predictive Analysis

Consumption of OData Services of Open Items Analytics Dashboard using SAP Predictive Analysis Consumption of OData Services of Open Items Analytics Dashboard using SAP Predictive Analysis (Version 1.17) For validation Document version 0.1 7/7/2014 Contents What is SAP Predictive Analytics?... 3

More information

Oracle Advanced Analytics Oracle R Enterprise & Oracle Data Mining

Oracle Advanced Analytics Oracle R Enterprise & Oracle Data Mining Oracle Advanced Analytics Oracle R Enterprise & Oracle Data Mining R The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated

More information

An Introduction to Data Mining

An Introduction to Data Mining An Introduction to Intel Beijing wei.heng@intel.com January 17, 2014 Outline 1 DW Overview What is Notable Application of Conference, Software and Applications Major Process in 2 Major Tasks in Detail

More information

Anomaly and Fraud Detection with Oracle Data Mining 11g Release 2

Anomaly and Fraud Detection with Oracle Data Mining 11g Release 2 Oracle 11g DB Data Warehousing ETL OLAP Statistics Anomaly and Fraud Detection with Oracle Data Mining 11g Release 2 Data Mining Charlie Berger Sr. Director Product Management, Data

More information

Introducing SAP Fraud Management. Jérôme Pugnet

Introducing SAP Fraud Management. Jérôme Pugnet Introducing SAP Fraud Management Jérôme Pugnet LEARNING POINTS Impacts and Challenges of Fraud How Big is the Problem? Fraud is Typically Found Without Technology: an Undetected Potential! What are the

More information

SAP HANA als Entwicklungsplattform. Matthias Kupczak HANA Center of Excellence (CoE) Switzerland SAP Forum - 12. Juni 2013

SAP HANA als Entwicklungsplattform. Matthias Kupczak HANA Center of Excellence (CoE) Switzerland SAP Forum - 12. Juni 2013 SAP HANA als Entwicklungsplattform Matthias Kupczak HANA Center of Excellence (CoE) Switzerland SAP Forum - 12. Juni 2013 1 SAP HANA A Database for application logic? 2 3 SAP HANA 4 Extended Services (XS)

More information

Accelerating the path to SAP BW powered by SAP HANA

Accelerating the path to SAP BW powered by SAP HANA Ag BW on SAP HANA Unleash the power of imagination Dramatically improve your decision-making ability, reduce risk and lower your costs, Accelerating the path to SAP BW powered by SAP HANA Hardware Software

More information

Data Mining Solutions for the Business Environment

Data Mining Solutions for the Business Environment Database Systems Journal vol. IV, no. 4/2013 21 Data Mining Solutions for the Business Environment Ruxandra PETRE University of Economic Studies, Bucharest, Romania ruxandra_stefania.petre@yahoo.com Over

More information

Predictive Analytics with TIBCO Spotfire and TIBCO Enterprise Runtime for R

Predictive Analytics with TIBCO Spotfire and TIBCO Enterprise Runtime for R Predictive Analytics with TIBCO Spotfire and TIBCO Enterprise Runtime for R PREDICTIVE ANALYTICS WITH TIBCO SPOTFIRE TIBCO Spotfire is the premier data discovery and analytics platform, which provides

More information

An Overview of SAP BW Powered by HANA. Al Weedman

An Overview of SAP BW Powered by HANA. Al Weedman An Overview of SAP BW Powered by HANA Al Weedman About BICP SAP HANA, BOBJ, and BW Implementations The BICP is a focused SAP Business Intelligence consulting services organization focused specifically

More information

whitepaper Predictive Analytics with TIBCO Spotfire and TIBCO Enterprise Runtime for R

whitepaper Predictive Analytics with TIBCO Spotfire and TIBCO Enterprise Runtime for R Predictive Analytics with TIBCO Spotfire and TIBCO Enterprise Runtime for R Table of Contents 3 Predictive Analytics with TIBCO Spotfire 4 TIBCO Spotfire Statistics Services 8 TIBCO Enterprise Runtime

More information

Using Tableau Software with Hortonworks Data Platform

Using Tableau Software with Hortonworks Data Platform Using Tableau Software with Hortonworks Data Platform September 2013 2013 Hortonworks Inc. http:// Modern businesses need to manage vast amounts of data, and in many cases they have accumulated this data

More information

Predictive Analytics for the Non-Data Scientist: What You Really Need to Know. Ashish C. Morzaria SAP

Predictive Analytics for the Non-Data Scientist: What You Really Need to Know. Ashish C. Morzaria SAP Predictive Analytics for the Non-Data Scientist: What You Really Need to Know Ashish C. Morzaria SAP Who Is This Webinar For? Do you know what these terms mean? Triple Exponential Smoothing Simple Linear

More information

Master of Science in Healthcare Informatics and Analytics Program Overview

Master of Science in Healthcare Informatics and Analytics Program Overview Master of Science in Healthcare Informatics and Analytics Program Overview The program is a 60 credit, 100 week course of study that is designed to graduate students who: Understand and can apply the appropriate

More information

Five Reasons Spotfire Is Better than Excel for Business Data Analytics

Five Reasons Spotfire Is Better than Excel for Business Data Analytics Five Reasons Spotfire Is Better than Excel for Business Data Analytics A hugely versatile application, Microsoft Excel is the Swiss Army Knife of IT, able to cope with all kinds of jobs from managing personal

More information

Creating a universe on Hive with Hortonworks HDP 2.0

Creating a universe on Hive with Hortonworks HDP 2.0 Creating a universe on Hive with Hortonworks HDP 2.0 Learn how to create an SAP BusinessObjects Universe on top of Apache Hive 2 using the Hortonworks HDP 2.0 distribution Author(s): Company: Ajay Singh

More information

Data Science in Action

Data Science in Action + Data Science in Action Peerapon Vateekul, Ph.D. Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University + Outlines 2 Data Science & Data Scientist Data Mining Analytics with

More information

Starting Smart with Oracle Advanced Analytics

Starting Smart with Oracle Advanced Analytics Starting Smart with Oracle Advanced Analytics Great Lakes Oracle Conference Tim Vlamis Thursday, May 19, 2016 Vlamis Software Solutions Vlamis Software founded in 1992 in Kansas City, Missouri Developed

More information

Automating FP&A Analytics Using SAP Visual Intelligence and Predictive Analysis

Automating FP&A Analytics Using SAP Visual Intelligence and Predictive Analysis September 9 11, 2013 Anaheim, California Automating FP&A Analytics Using SAP Visual Intelligence and Predictive Analysis Varun Kumar Learning Points Create management insight tool using SAP Visual Intelligence

More information

Achieve Better Insight and Prediction with Data Mining

Achieve Better Insight and Prediction with Data Mining Clementine 11.1 Specifications Achieve Better Insight and Prediction with Data Mining Data mining provides organizations with a clearer view of current conditions and deeper insight into future events.

More information

Selecting the Right SAP BusinessObjects BI Client Product based on your business requirements for SAP BW Customers

Selecting the Right SAP BusinessObjects BI Client Product based on your business requirements for SAP BW Customers Selecting the Right SAP BusinessObjects BI Client Product based on your business requirements for SAP BW Customers Ingo Hilgefort Director Solution Management Disclaimer This presentation outlines our

More information

SAP BusinessObjects Predictive Analysis. Transforming the Future with Insight Today

SAP BusinessObjects Predictive Analysis. Transforming the Future with Insight Today SAP BusinessObjects Predictive Analysis Transforming the Future with Insight Today What if.... You could identify hidden revenue opportunities within your customer base through predictive analytics?....

More information

Toronto 26 th SAP BI. Leap Forward with SAP

Toronto 26 th SAP BI. Leap Forward with SAP Toronto 26 th SAP BI Leap Forward with SAP Business Intelligence SAP BI 4.0 and SAP BW Operational BI with SAP ERP SAP HANA and BI Operational vs Decision making reporting Verify the evolution of the KPIs,

More information

SAP BO 4.1 ON SAP HANA 1.0 amron

SAP BO 4.1 ON SAP HANA 1.0 amron 0 Training Details Course Duration: 50-55 hours training + assignments + actual project based case studies Training Materials: All attendees will receive: Assignment after each module, video recording

More information

<no narration for this slide>

<no narration for this slide> 1 2 The standard narration text is : After completing this lesson, you will be able to: < > SAP Visual Intelligence is our latest innovation

More information

Explore the Art of the Possible Discover how your company can create new business value through a co-innovation partnership with SAP

Explore the Art of the Possible Discover how your company can create new business value through a co-innovation partnership with SAP Explore the Art of the Possible Discover how your company can create new business value through a co-innovation partnership with SAP Innovate to Differentiate How SAP technology innovations can help your

More information

Improve Results with High- Performance Data Mining

Improve Results with High- Performance Data Mining Clementine 10.0 Specifications Improve Results with High- Performance Data Mining Data mining provides organizations with a clearer view of current conditions and deeper insight into future events. With

More information

Exploring the Synergistic Relationships Between BPC, BW and HANA

Exploring the Synergistic Relationships Between BPC, BW and HANA September 9 11, 2013 Anaheim, California Exploring the Synergistic Relationships Between, BW and HANA Sheldon Edelstein SAP Database and Solution Management Learning Points SAP Business Planning and Consolidation

More information

DRIVING THE CHANGE ENABLING TECHNOLOGY FOR FINANCE 15 TH FINANCE TECH FORUM SOFIA, BULGARIA APRIL 25 2013

DRIVING THE CHANGE ENABLING TECHNOLOGY FOR FINANCE 15 TH FINANCE TECH FORUM SOFIA, BULGARIA APRIL 25 2013 DRIVING THE CHANGE ENABLING TECHNOLOGY FOR FINANCE 15 TH FINANCE TECH FORUM SOFIA, BULGARIA APRIL 25 2013 BRAD HATHAWAY REGIONAL LEADER FOR INFORMATION MANAGEMENT AGENDA Major Technology Trends Focus on

More information

Create Mobile, Compelling Dashboards with Trusted Business Warehouse Data

Create Mobile, Compelling Dashboards with Trusted Business Warehouse Data SAP Brief SAP BusinessObjects Business Intelligence s SAP BusinessObjects Design Studio Objectives Create Mobile, Compelling Dashboards with Trusted Business Warehouse Data Increase the value of data with

More information