Automated Predictive Analysis. Tomer Steinberg

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Automated Predictive Analysis. Tomer Steinberg"

Transcription

1 Automated Predictive Analysis Tomer Steinberg

2 Analytics solutions from SAP SAP Analytics Portfolio Cloud Mobile Agile Visualization Advanced Analytics Big Data Enterprise Business Intelligence Collaboration 2013 SAP AG. All rights reserved. 2

3 Advanced Analytics Advanced Agile Visualization Advanced Analytics Analytics Enterprise Business Intelligence 2013 SAP AG. All rights reserved. 3

4 Challenges Solution Benefits Hard to use Simpler Faster time to value Quick win Boost adoption Big Data made easy Embeddable Answer more business questions Cannot analyze Big Data Time-consuming Adapt and innovate at market speed Not actionable Bridge the skills gap

5 Use Customer Examples Retail 14% ROI with a 8.5% increase in travel sales 10% improvement in sales forecasts 220% increase in campaign responses Banking Reduce e-fraud over 1 B$ annual transactions 5x increase in response rates 7x response rate vs. control group Telco 260% increase in campaign response rates 3% decrease in monthly churn rate 700 models for churn and X-sell

6 Success With Over 500 Leaders Around the World Telecom Finance Retail e-business MSP Media Public Sector Energy & Mfg 2013 SAP AG. All rights reserved. 6

7 Model Industrialization Each step of the process has been automated 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 2013 SAP AG. All rights reserved. 7

8 What applications? Acquisition targeting Churn reduction Cross Sell / Up Sell Winback campaigns Viral campaigns Segmentation CRM Risk Credit scoring Collection Crime/Terrorism KPI forecasting Anomaly detection (QA) Usage forecasting Predictive maintenance Operations Fraud Money laundering Credit card fraud Online gaming fraud Insurance fraud 2013 SAP AG. All rights reserved. 8

9 What are we talking about? Classification Who will (buy fraud churn ) next (week month year )? Regression How will the (revenue # churners) be next (week month..)? Forecasting 3 types of results: How will the (revenue # churners ) be over next year on a monthly basis? P Value Recommendation engines Provides recommendations on websites Group or to retailers Segmentation What are the groups of customers with similar (behavior profile )? Link Analysis Analyze interactions to identify (communities influencers ) 2013 SAP AG. All rights reserved. 9

10 Propensity Modeling Business goal 1 2 Predict products likely to be purchased Build target lists SAP approach Classification models in hours not days 360 view: 00 s or 000 s of variables No parameters to understand and tune Score customers in-database Build as many models as campaigns/offers Refresh models as often as needed 2013 SAP AG. All rights reserved. 11

11 Recommendation Engine Business goal 1 Product recommendation KXEN approach Personalized recommendations based on user (vs. generalized recommendation) Weights multiple rulesets Scales to unlimited SKU s 2 Friend recommendation Builds communities of individuals with similar interests or behaviors 2013 SAP AG. All rights reserved. 13

12 SAP Infinite Insights Link analysis & Recommendations There is unused useful information in links Analysis of entity-to-entity links Telecom: improved churn detection, viral propagation of events, rotational churn and MultiSIM detection Network analysis Public Security Fraud detection on multi-actor claims (e.g. social security) Analysis of people-to-product links Recommendation engines with enhanced market Basket Analysis Analyse automatically, produce new data to improve quality of any other predictive analytics application 2013 SAP AG. All rights reserved. 14

13 Visualization of the Network 2013 SAP AG. All rights reserved. 15

14 Demand Forecasting Business goal 1 Optimize the flow of merchandise through the demand chain KXEN approach Automated forecasting analysis Forecast monthly / daily sales and/or inventory Include macro variables (e.g. economic, weather, etc.) 2013 SAP AG. All rights reserved. 16

15 SAP InfiniteInsight Architecture Model Scoring SQL code for Automated Link Analysis Dataset In-database Regression Product production Influencers Production recommandations Other Segmentation languages for realtime Communities Text coding Forecasting purposes Productionization Automated control & maintenance Dataset automation SQL Code To real time environments 2013 SAP AG. All rights reserved. 17

16 Allegro Boosts Click-through Rates by 500% 80M+ daily personalized product recommendations Response time < 200ms Boosted e-commerce KPI s: Page views per visit up 30% Click-through rates up 500% Conversion rates up 40x compared to bestseller rules Build social graphs from: 20M+ unique website visitors 15M listed products 500M daily page views 2013 SAP AG. All rights reserved. 18

17 HMV Delivers Personalized Offers Across Channels 140% increase in first year revenue Completing queries on 60M items of data and over 2M customers in 30 seconds Overall performance increased nearly 40% Sybase IQ and InfiniteInsight are indispensable now to our business. - Hideki Ichikawa IT Systems Development Manager, 2013 SAP AG. All rights reserved. 19

18 SAP Delivers Insight Faster and Easier Automated Productive Industrial BigData Web & Social Media Time to Market Everything you need to optimize Control over the whole process We needed a solution that would allow us to scale with the hyper growth of our business. - Rafał Kudliński BI Director 2013 SAP AG. All rights reserved. 22

19 Thank you!

The Power of Predictive Analytics

The Power of Predictive Analytics The Power of Predictive Analytics Derive real-time insights with accuracy and ease SOLUTION OVERVIEW www.sybase.com KXEN S INFINITEINSIGHT AND SYBASE IQ FEATURES & BENEFITS AT A GLANCE Ensure greater accuracy

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

How Organisations Are Using Data Mining Techniques To Gain a Competitive Advantage John Spooner SAS UK

How Organisations Are Using Data Mining Techniques To Gain a Competitive Advantage John Spooner SAS UK How Organisations Are Using Data Mining Techniques To Gain a Competitive Advantage John Spooner SAS UK Agenda Analytics why now? The process around data and text mining Case Studies The Value of Information

More information

Customer Centric Banking. June 2014, IBU Banking, SAP

Customer Centric Banking. June 2014, IBU Banking, SAP Customer Centric Banking June 2014, IBU Banking, SAP EMPOWERED CUSTOMERS ARE 79% 53% 59% Digitally Connected of customers spend at least 50% of total shopping time researching brands online. Socially Networked

More information

Building and Deploying Customer Behavior Models

Building and Deploying Customer Behavior Models Building and Deploying Customer Behavior Models February 20, 2014 David Smith, VP Marketing and Community, Revolution Analytics Paul Maiste, President and CEO, Lityx In Today s Webinar About Revolution

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

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

Managing the Next Best Activity Decision

Managing the Next Best Activity Decision Managing the Next Best Activity Decision James Taylor CEO, Decision Management Solutions Treating customers right, every time More information at: www.decisionmanagementsolutions.com No matter what the

More information

Big Data and the SAP Data Platform Including SAP HANA and Apache Hadoop Balaji Krishna, SAP HANA Product Management

Big Data and the SAP Data Platform Including SAP HANA and Apache Hadoop Balaji Krishna, SAP HANA Product Management Orange County Convention Center Orlando, Florida June 3-5, 2014 Big Data and the SAP Data Platform Including SAP HANA and Apache Hadoop Balaji Krishna, SAP HANA Product Management @balajivkrishna LEARNING

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

SAP FINUG Teknologiaseminaari

SAP FINUG Teknologiaseminaari SAP FINUG Teknologiaseminaari SAP Advanced Analytics Joni Ahola, 09 September 2015 Human Centric Innovation On the Agenda Advanced Analytics Approach SAP Predictive Analytics Tools, Functions & Libraries

More information

Strategic Decisions Supported by SAP Big Data Solutions. Angélica Bedoya / Strategic Solutions GTM Mar /2014

Strategic Decisions Supported by SAP Big Data Solutions. Angélica Bedoya / Strategic Solutions GTM Mar /2014 Strategic Decisions Supported by SAP Big Data Solutions Angélica Bedoya / Strategic Solutions GTM Mar /2014 What critical new signals Might you be missing? Use Analytics Today 10% 75% Need Analytics by

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

Technology and Trends for Smarter Business Analytics

Technology and Trends for Smarter Business Analytics Don Campbell Chief Technology Officer, Business Analytics, IBM Technology and Trends for Smarter Business Analytics Business Analytics software Where organizations are focusing Business Analytics Enhance

More information

Big Data lisää älyä tiedosta

Big Data lisää älyä tiedosta 2011 Tieto Corporation Big Data lisää älyä tiedosta ebusiness Forum 21.5.2013 Ilkka Korkiakoski VP Financial Services Agenda Megatrends and needs for Big Data What is the value of Big Data? Use scenarios

More information

KnowledgeSEEKER Marketing Edition

KnowledgeSEEKER Marketing Edition KnowledgeSEEKER Marketing Edition Predictive Analytics for Marketing The Easiest to Use Marketing Analytics Tool KnowledgeSEEKER Marketing Edition is a predictive analytics tool designed for marketers

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

Predictive Analytics at the Speed of Business

Predictive Analytics at the Speed of Business Predictive Analytics at the Speed of Business How decision management and a real-time infrastructure get predictive analytics where and when you need them 2012 Decision Management Solutions 1 Your presenters

More information

HROUG. The future of Business Intelligence & Enterprise Performance Management. Rovinj October 18, 2007

HROUG. The future of Business Intelligence & Enterprise Performance Management. Rovinj October 18, 2007 HROUG Rovinj October 18, 2007 The future of Business Intelligence & Enterprise Performance Management Alexander Meixner Sales Executive, BI/EPM, South East Europe Oracle s Product

More information

Capitalizing on the power of big data for retail

Capitalizing on the power of big data for retail IBM Software Big Data Retail Capitalizing on the power of big data for retail Adopt new approaches to keep customers engaged, maintain a competitive edge and maximize profitability 2 Capitalizing on the

More information

Overview, Goals, & Introductions

Overview, Goals, & Introductions Improving the Retail Experience with Predictive Analytics www.spss.com/perspectives Overview, Goals, & Introductions Goal: To present the Retail Business Maturity Model Equip you with a plan of attack

More information

Top 5 Transformative Analytics Applications in Retail

Top 5 Transformative Analytics Applications in Retail Top 5 Transformative Analytics Applications in Retail Learn how you can boost your bottom line and acquire engaged, happy customers with actionable insight from the world s most comprehensive analytics

More information

THE CUSTOMER DECISION HUB IMPORTANCE OF CUSTOMER FEEDBACK OCTOBER 2014

THE CUSTOMER DECISION HUB IMPORTANCE OF CUSTOMER FEEDBACK OCTOBER 2014 THE CUSTOMER DECISION HUB IMPORTANCE OF CUSTOMER FEEDBACK OCTOBER 2014 C op yr i g h t 2 0 1 2, S A S I n s t i t u t e I n c. A l l r i g h t s r es er v e d. ABOUT MYSELF Customer Intelligence Director

More information

Drive optimized customer interaction at the point of contact, based on predicted outcomes and behavior to achieve desired results.

Drive optimized customer interaction at the point of contact, based on predicted outcomes and behavior to achieve desired results. 1 Drive optimized customer interaction at the point of contact, based on predicted outcomes and behavior to achieve desired results. 2 3 Today s customers live out loud Age of the Empowered Customer Organizations

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

Top 10 Predictive Use Cases and Customer Case Studies

Top 10 Predictive Use Cases and Customer Case Studies Top 10 Predictive Use Cases and Customer Case Studies Confidently anticipate and drive better business outcomes Pierre Leroux, Director Predictive Analytics 2015 SAP SE or an SAP affiliate company. All

More information

The Convergence of Data and Analytics in the Corporate World

The Convergence of Data and Analytics in the Corporate World The Convergence of Data and Analytics in the Corporate World Is it possible to draw parallels between commercial experience and tax applications? Jack Noonan President & Chief Executive Officer SPSS Inc.

More information

Predictive Analytics: Turn Information into Insights

Predictive Analytics: Turn Information into Insights Predictive Analytics: Turn Information into Insights Pallav Nuwal Business Manager; Predictive Analytics, India-South Asia pallav.nuwal@in.ibm.com +91.9820330224 Agenda IBM Predictive Analytics portfolio

More information

Vlassis Papapanagis Operations Director PREDICTA Group. Using Analytics to predict Customer s Behavior

Vlassis Papapanagis Operations Director PREDICTA Group. Using Analytics to predict Customer s Behavior Vlassis Papapanagis Operations Director PREDICTA Group Using Analytics to predict Customer s Behavior Today s organizations are facing many DISRUPTIVE FORCES fueling the need for analytics The emergence

More information

Digital Experience Cloud. Overview

Digital Experience Cloud. Overview Digital Experience Cloud Overview Agenda Market Overview Product Overview Future Plans Digital Marketing Technology Opportunity IDC's Worldwide Marketing Technology 2014-2018 Forecast: $20 Billion and

More information

The Analytical Revolution

The Analytical Revolution Predictive Analytics World 19 October 2011 The Analytical Revolution Colin Shearer Worldwide Industry Solutions Leader SPSS Business Analytics software Our world is becoming smarter Instrumented Interconnected

More information

Using reporting and data mining techniques to improve knowledge of subscribers; applications to customer profiling and fraud management

Using reporting and data mining techniques to improve knowledge of subscribers; applications to customer profiling and fraud management Using reporting and data mining techniques to improve knowledge of subscribers; applications to customer profiling and fraud management Paper Jean-Louis Amat Abstract One of the main issues of operators

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

CUSTOMER RELATIONSHIP MANAGEMENT (CRM) CII Institute of Logistics

CUSTOMER RELATIONSHIP MANAGEMENT (CRM) CII Institute of Logistics CUSTOMER RELATIONSHIP MANAGEMENT (CRM) CII Institute of Logistics Session map Session1 Session 2 Introduction The new focus on customer loyalty CRM and Business Intelligence CRM Marketing initiatives Session

More information

[Big]-Data Analytics for Businesses SESSION 1

[Big]-Data Analytics for Businesses SESSION 1 Theos Evgeniou; Professor of Decision Sciences [Big]-Data Analytics for Businesses SESSION 1 Five Key Takeaways 1. It is now possible to make evidence based, data driven decisions in increasingly more

More information

Revenue Enhancement and Churn Prevention

Revenue Enhancement and Churn Prevention Revenue Enhancement and Churn Prevention for Telecom Service Providers A Telecom Event Analytics Framework to Enhance Customer Experience and Identify New Revenue Streams www.wipro.com Anindito De Senior

More information

ABOUT US WHO WE ARE. Helping you succeed against the odds...

ABOUT US WHO WE ARE. Helping you succeed against the odds... ACCURACY DELIVERED ABOUT US WHO WE ARE BizAcuity is a fast growing Business intelligence strategy company, providing reliable, scalable and cost effective consultancy and services to clients across the

More information

decisions that are better-informed leading to long-term competitive advantage Business Intelligence solutions

decisions that are better-informed leading to long-term competitive advantage Business Intelligence solutions Business Intelligence solutions decisions that are better-informed leading to long-term competitive advantage Your business technologists. Powering progress Every organization generates vast amounts of

More information

Predictive Analytics in the Cloud. James Taylor, CEO

Predictive Analytics in the Cloud. James Taylor, CEO Predictive Analytics in the Cloud James Taylor, CEO 2012 Decision Management Solutions 2 Your presenter James Taylor! CEO of Decision Management Solutions! Leading expert on Decision Management Systems!

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

Mike Luke National Practice Leader SAS Canada. The Evolution of Data and New Opportunities for Analytics

Mike Luke National Practice Leader SAS Canada. The Evolution of Data and New Opportunities for Analytics Mike Luke National Practice Leader SAS Canada The Evolution of Data and New Opportunities for Analytics Evolution of Data WE VE GROWN OVER THE LAST 60 YEARS Evolution of Data IN THE EARLY DAYS Evolution

More information

Apigee Insights Increase marketing effectiveness and customer satisfaction with API-driven adaptive apps

Apigee Insights Increase marketing effectiveness and customer satisfaction with API-driven adaptive apps White provides GRASP-powered big data predictive analytics that increases marketing effectiveness and customer satisfaction with API-driven adaptive apps that anticipate, learn, and adapt to deliver contextual,

More information

Safe Harbor Statement

Safe Harbor Statement Defining a Roadmap to Big Data Success Robert Stackowiak, Oracle Vice President, Big Data 17 November 2015 Safe Harbor Statement The following is intended to outline our general product direction. It is

More information

Business Intelligence Analytics Editions

Business Intelligence Analytics Editions Business Intelligence Analytics Editions SAP BusinessObjects BI platform SAP BusinessObjects BI suite SAP BusinessObjects BI, Edge edition SAP Crystal Server SAP Sybase IQ SAP Data Integrator SAP Data

More information

P&G. Harnessing the Power of Real-Time Information Helping P&G make better, faster decisions.

P&G. Harnessing the Power of Real-Time Information Helping P&G make better, faster decisions. P&G Harnessing the Power of Real-Time Information Helping P&G make better, faster decisions. Guy Peri 20 September, 2011 Agenda 1 About P&G/GBS 2 The Challenge 3 4 Going Digital Business Intelligence at

More information

WHITEPAPER. Creating and Deploying Predictive Strategies that Drive Customer Value in Marketing, Sales and Risk

WHITEPAPER. Creating and Deploying Predictive Strategies that Drive Customer Value in Marketing, Sales and Risk WHITEPAPER Creating and Deploying Predictive Strategies that Drive Customer Value in Marketing, Sales and Risk Overview Angoss is helping its clients achieve significant revenue growth and measurable return

More information

Predictive Analytics. Noam Zeigerson, CTO

Predictive Analytics. Noam Zeigerson, CTO Predictive Analytics Noam Zeigerson, CTO Agenda The Predictive Analytics Need Innovative Technologies Business Solutions The problem: Inconsistent stream of revenue Available Data Sources ERP data Web

More information

ENABLING REAL-TIME BUSINESS WITH SAP HANA IN THE CLOUD

ENABLING REAL-TIME BUSINESS WITH SAP HANA IN THE CLOUD ENABLING REAL-TIME BUSINESS WITH SAP HANA IN THE CLOUD Mark Lenke Global Managing Partner Big Data & Analytics, CSC Lynn McLean VP, Unified Compute Platform (UCP) Sales, HDS 2014 CSC and HDS. All Rights

More information

Second CRM CRM Solution for Small Companies

Second CRM CRM Solution for Small Companies Second CRM CRM Solution for Small Companies Technologize Your Business TM Introductory Presentation June 2010 Agenda Second CRM On Demand CRM Solution Introduction Second CRM Features Pricing, Implementation

More information

Investor & Financial Analyst Conference. SAPPHIRENOW 2012 May 15, 2012 I Orlando, FL

Investor & Financial Analyst Conference. SAPPHIRENOW 2012 May 15, 2012 I Orlando, FL Investor & Financial Analyst Conference SAPPHIRENOW 2012 May 15, 2012 I Orlando, FL SAPPHIRENOW Investor & Analyst Conference 1:05 1:10 EST Welcome & Introduction Stefan Gruber, Head of Investor Relations

More information

Extending the Power of Analytics with a Proven Data Warehousing. Solution

Extending the Power of Analytics with a Proven Data Warehousing. Solution SAP Brief SAP s for Small Businesses and Midsize Companies SAP IQ, Edge Edition Objectives Extending the Power of Analytics with a Proven Data Warehousing Uncover deep insights and reach new heights Uncover

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

III JORNADAS DE DATA MINING

III JORNADAS DE DATA MINING III JORNADAS DE DATA MINING EN EL MARCO DE LA MAESTRÍA EN DATA MINING DE LA UNIVERSIDAD AUSTRAL PRESENTACIÓN TECNOLÓGICA IBM Alan Schcolnik, Cognos Technical Sales Team Leader, IBM Software Group. IAE

More information

Mexico ICT Market Update: 1Q13 Results & Opportunities. Equipment. Supplies. ICT services. Software. ICT services (in the cloud)

Mexico ICT Market Update: 1Q13 Results & Opportunities. Equipment. Supplies. ICT services. Software. ICT services (in the cloud) Mexico ICT Market Update: 1Q13 Results & Opportunities ICT Mexico Market Size & Growth ICT Growth IT Growth 24.60% 24.30% 24.70% 2.50% 2.50% 2.50% 10.40% 11.50% 12.60% 4.60% 5.20% 5.70% Equipment Supplies

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

SAP Big Data Helping Government Run Like Never Before

SAP Big Data Helping Government Run Like Never Before SAP Big Data Helping Government Run Like Never Before 2005 2 2013 3 Big Data is Driving Innovation and Value for Public Sector Trends We See Ensure safe, sustainable communities Provide the next generation

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

Deliver a Better Digital Customer Experience Through Sonata s Digital Engagement Solutions

Deliver a Better Digital Customer Experience Through Sonata s Digital Engagement Solutions Deliver a Better Digital Customer Experience Through Sonata s Digital Engagement Solutions The World is Going Digital The incredible growth of the internet, the proliferation of mobile devices and the

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

B2B ecommerce Web Analytics for B2B App Stores. Nadim Razvi, SAP AG November 2012

B2B ecommerce Web Analytics for B2B App Stores. Nadim Razvi, SAP AG November 2012 B2B ecommerce Web Analytics for B2B App Stores Nadim Razvi, SAP AG November 2012 Web Analytics for B2B App Stores Agenda 1. Market Environment 2. Introduction SAP Store 3. Web Analytics (B2B vs. B2C) 4.

More information

Customer Insight Appliance. Enabling retailers to understand and serve their customer

Customer Insight Appliance. Enabling retailers to understand and serve their customer Customer Insight Appliance Enabling retailers to understand and serve their customer Customer Insight Appliance Enabling retailers to understand and serve their customer. Technology has empowered today

More information

Created to make a. Specialists in data and campaign management

Created to make a. Specialists in data and campaign management Created to make a difference Specialists in data and campaign management XCM created to make a positive difference to your thinking, your marketing, your business XCM would like to thank all customers,

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

Introduction to Predictive Analytics: SPSS Modeler

Introduction to Predictive Analytics: SPSS Modeler Introduction to Predictive Analytics: SPSS Modeler John Antonucci, Sr. BDM Katrina Adams Ph.D. Welcome! The Webinar will begin at 12:00 pm EST LPA Events Calendar Upcoming Webinars Today - Introduction

More information

Past, present, and future Analytics at Loyalty NZ. V. Morder SUNZ 2014

Past, present, and future Analytics at Loyalty NZ. V. Morder SUNZ 2014 Past, present, and future Analytics at Loyalty NZ V. Morder SUNZ 2014 Contents Visions The undisputed customer loyalty experts To create, maintain and motivate loyal customers for our Participants Win

More information

Data Science & Big Data Practice

Data Science & Big Data Practice INSIGHTS ANALYTICS INNOVATIONS Data Science & Big Data Practice Customer Intelligence - 360 Insight Amplify customer insight by integrating enterprise data with external data Customer Intelligence 360

More information

A Look at Self Service BI with SAP Lumira Natasha Kishinevsky Dunn Solutions Group SESSION CODE: 1405

A Look at Self Service BI with SAP Lumira Natasha Kishinevsky Dunn Solutions Group SESSION CODE: 1405 A Look at Self Service BI with SAP Lumira Natasha Kishinevsky Dunn Solutions Group SESSION CODE: 1405 LEARNING POINTS How a business user analyzes data with Lumira Introduction to the SAP BI Lumira Connector

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

PDF PREVIEW EMERGING TECHNOLOGIES. Applying Technologies for Social Media Data Analysis

PDF PREVIEW EMERGING TECHNOLOGIES. Applying Technologies for Social Media Data Analysis VOLUME 34 BEST PRACTICES IN BUSINESS INTELLIGENCE AND DATA WAREHOUSING FROM LEADING SOLUTION PROVIDERS AND EXPERTS PDF PREVIEW IN EMERGING TECHNOLOGIES POWERFUL CASE STUDIES AND LESSONS LEARNED FOCUSING

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

The SME is Shifting Gear to Innovation with SAP

The SME is Shifting Gear to Innovation with SAP The SME is Shifting Gear to Innovation with SAP 65,000+ 120 24 37 1200+ 250,000+ SAP Employees worldwide Countries Industries Languages Partners worldwide Customers worldwide SME @ SAP: the facts as of

More information

Session 10 : E-business models, Big Data, Data Mining, Cloud Computing

Session 10 : E-business models, Big Data, Data Mining, Cloud Computing INFORMATION STRATEGY Session 10 : E-business models, Big Data, Data Mining, Cloud Computing Tharaka Tennekoon B.Sc (Hons) Computing, MBA (PIM - USJ) POST GRADUATE DIPLOMA IN BUSINESS AND FINANCE 2014 Internet

More information

SAP Predictive Analytics Content Adoption rapiddeployment

SAP Predictive Analytics Content Adoption rapiddeployment SAP HANA 1.0 February 2015 English SAP Predictive Analytics Content Adoption rapiddeployment solution: Software and Delivery Requirements SAP SE Dietmar-Hopp-Allee 16 69190 Walldorf Germany Document Revisions

More information

Focus on the business, not the business of data warehousing!

Focus on the business, not the business of data warehousing! Focus on the business, not the business of data warehousing! Adam M. Ronthal Technical Product Marketing and Strategy Big Data, Cloud, and Appliances @ARonthal 1 Disclaimer Copyright IBM Corporation 2014.

More information

Big Data: Impact and applications in Grocery Retail

Big Data: Impact and applications in Grocery Retail Big Data: Impact and applications in Grocery Retail Data growing exponentially 2 Source: AT Kearney Sources of Big Data of increasing interest to the Retail business 3 Source: HortonWorks/Terradata Grocery

More information

CHANNEL OPTIMIZATION THROUGH PERSONALIZATION

CHANNEL OPTIMIZATION THROUGH PERSONALIZATION CHANNEL OPTIMIZATION THROUGH PERSONALIZATION 1 Introductions Zimm Zimmermann Vice President, Personalization Platform Marketer Competencies Platform Data Consumer Privacy & Compliance Audience Management

More information

Technology Strategies for Big Data Analytics Paul Bachteal Director, Americas Technology Practice

Technology Strategies for Big Data Analytics Paul Bachteal Director, Americas Technology Practice Technology Strategies for Big Data Analytics Paul Bachteal Director, Americas Technology Practice THRIVING IN THE BIG DATA ERA DATA SIZE VOLUME VARIETY VELOCITY VALUE TODAY THE FUTURE BIG DATA ANALYTICS

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

Solve your toughest challenges with data mining

Solve your toughest challenges with data mining IBM Software Business Analytics IBM SPSS Modeler Solve your toughest challenges with data mining Use predictive intelligence to make good decisions faster 2 Solve your toughest challenges with data mining

More information

Information-Driven Transformation in Retail with the Enterprise Data Hub Accelerator

Information-Driven Transformation in Retail with the Enterprise Data Hub Accelerator Introduction Enterprise Data Hub Accelerator Retail Sector Use Cases Capabilities Information-Driven Transformation in Retail with the Enterprise Data Hub Accelerator Introduction Enterprise Data Hub Accelerator

More information

Big Analytics: A Next Generation Roadmap

Big Analytics: A Next Generation Roadmap Big Analytics: A Next Generation Roadmap Cloud Developers Summit & Expo: October 1, 2014 Neil Fox, CTO: SoftServe, Inc. 2014 SoftServe, Inc. Remember Life Before The Web? 1994 Even Revolutions Take Time

More information

Applying Sonamine Social Network Analysis To Telecommunications Marketing. An introductory whitepaper

Applying Sonamine Social Network Analysis To Telecommunications Marketing. An introductory whitepaper Applying Sonamine Social Network Analysis To Telecommunications Marketing An introductory whitepaper Introduction Social network analysis (SNA) uses information about the relationships between customers

More information

ROME, 17-10-2013 BIG DATA ANALYTICS

ROME, 17-10-2013 BIG DATA ANALYTICS ROME, 17-10-2013 BIG DATA ANALYTICS BIG DATA FOUNDATIONS Big Data is #1 on the 2012 and the 2013 list of most ambiguous terms - Global language monitor 2 BIG DATA FOUNDATIONS Big Data refers to data sets

More information

Business Analytics and the Nexus of Information

Business Analytics and the Nexus of Information Business Analytics and the Nexus of Information 2 The Impact of the Nexus of Forces 4 From the Gartner Files: Information and the Nexus of Forces: Delivering and Analyzing Data 6 About IBM Business Analytics

More information

Cloud & Big Data Transforming Businesses

Cloud & Big Data Transforming Businesses 1 Cloud & Big Data Transforming Businesses Vikas Arora Sr. Director Global Services EMC (India & SAARC) 2 Two Fundamental Challenges 63% MAINTAIN Increase Revenue 37% INVEST Lower Operational Costs ESG,

More information

Are You Ready To Take The Leap From Descriptive To Predictive Analytics?

Are You Ready To Take The Leap From Descriptive To Predictive Analytics? Are You Ready To Take The Leap From Descriptive To Predictive Analytics? Ashish C. Morzaria Director, SAP Advanced Analytics @ashishmorzaria #BOAK2015 #SAPAnalytics #SAPPredictive 2014 SAP AG or an SAP

More information

Vehicle Sales Management

Vehicle Sales Management Solution in Detail Automotive Executive Summary Contact Us Vehicle Sales Optimizing Your Wholesale Business Efficient Sales Collaborative Operation Faced with declining margins, automotive sales organizations

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

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

Oracle Business Intelligence Applications: Complete Solutions for Rapid BI Success

Oracle Business Intelligence Applications: Complete Solutions for Rapid BI Success 1 Oracle Business Intelligence Applications: Complete Solutions for Rapid BI Success Lara Chedid Associate Project Manager Youssef Halawi Sales Consulting Manager Safe Harbor Statement

More information

7,000% 40% Argos, maximizing digital marketing returns.

7,000% 40% Argos, maximizing digital marketing returns. Argos, maximizing digital marketing returns. High street retailer builds its digital channels and drives new revenues through actionable insights from Adobe Marketing Cloud. Adobe Marketing Cloud solutions

More information

Enterprise Applications Health Check

Enterprise Applications Health Check Enterprise Applications Health Check Unlock the value of your ERP Investment Overcome the complex challenges of IT market with our unique out-of-the-box implementation methodology! The need for an ERP

More information

CONTENT INSURANCE CORE WITHIN CRM 1.1. 1.2. 1.3. 1.4. 1.5. 1.6. LEVERAGE 5.1. 5.2. 5.3. 5.4.

CONTENT INSURANCE CORE WITHIN CRM 1.1. 1.2. 1.3. 1.4. 1.5. 1.6. LEVERAGE 5.1. 5.2. 5.3. 5.4. CONTENT INSURANCE CORE WITHIN CRM 1.1. 1.2. 1.3. 1.4. 1.5. 1.6. PROVEN INSURANCE DATA MODEL...6 GENERIC INTEGRATION INTERFACE...6 COMMUNICATION CHANNEL CENTRALIZATION...7 LOCALIZATION...7 MOBILE CRM INSURANCE2...8

More information

How Financial Services Firms Can Benefit From Streaming Analytics

How Financial Services Firms Can Benefit From Streaming Analytics How Financial Services Firms Can Benefit From Streaming Analytics > 2 VITRIA TECHNOLOGY, INC. > How Financial Services Firms Can Benefit From Streaming Analytics Streaming Analytics: Why It s Important

More information

Cloud Solutions from SAP. Transform Retail Visits to Win at the Shelf with SAP Cloud for Sales retail execution

Cloud Solutions from SAP. Transform Retail Visits to Win at the Shelf with SAP Cloud for Sales retail execution Cloud Solutions from SAP Transform Retail Visits to Win at the Shelf with SAP Cloud for Sales retail execution Cloud Solutions from SAP 1 Consumers have more buying options. Preferences are ever-changing.

More information

Client focused. Results driven. Ciber Retail Solutions

Client focused. Results driven. Ciber Retail Solutions Client focused. Results driven. Ciber Retail Solutions Multi-Channel Retailing Retailers are confronted by a downturn in consumer spending, ever-tighter margins, emerging shopping patterns, empowered consumers

More information

BI4Dynamics provides rich business intelligence capabilities to companies of all sizes and industries. From the first day on you can analyse your

BI4Dynamics provides rich business intelligence capabilities to companies of all sizes and industries. From the first day on you can analyse your BI4Dynamics provides rich business intelligence capabilities to companies of all sizes and industries. From the first day on you can analyse your data quickly, accurately and make informed decisions. Spending

More information

Understanding Data Warehouse Needs Session #1568 Trends, Issues and Capabilities

Understanding Data Warehouse Needs Session #1568 Trends, Issues and Capabilities Understanding Data Warehouse Needs Session #1568 Trends, Issues and Capabilities Dr. Frank Capobianco Advanced Analytics Consultant Teradata Corporation Tracy Spadola CPCU, CIDM, FIDM Practice Lead - Insurance

More information

Patient Relationship Management

Patient Relationship Management Solution in Detail Healthcare Executive Summary Contact Us Patient Relationship Management 2013 2014 SAP AG or an SAP affiliate company. Attract and Delight the Empowered Patient Engaged Consumers Information

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