It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 2013 - PDF

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It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 2013 - PDF
Scott Mackenzie - Sr. Director, Platform & Analytics CoE
Michael Golzc - CIO for SAP Americas
Ken Demma - VP, Insight Driven Marketing

20 Aug 2013 - Webcast - http://goo.gl/T74WAL

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It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 2013 - PDF

  1. 1. Getting Big Value from Big Data August 20, 2013 - Webinar
  2. 2. © 2013 SAP AG. All rights reserved. 1 Agenda 1. Big Data “Art of the Possible” 2. Insight Driven Marketing 3. CIO View: How SAP Uses Big Data 4. SAP Solutions & Services Scott Mackenzie Sr. Director, Platform & Analytics CoE Michael Golz CIO for SAP Americas Ken Demma VP, Insight Driven Marketing
  3. 3. © 2013 SAP AG. All rights reserved. 2 Lots of Hype and Expectations A Reality Check I know Big Data’s Important, I just don’t know where to get started. We’ve got a pilot, we’re trying to figure out where to go next. Big Data? We’re not leveraging the data we already have! We have a strategy, but we’re trying to figure out how to implement it. It’s not about Big Data, it’s about Big Insights! This isn’t a nice to have, it’s a must have initiative to survive!
  4. 4. © 2013 SAP AG. All rights reserved. 3 Big Data is Among Us Terabytes  Petabytes  Zettabytes **IDC Digital Universe Study Extracting Value from Chaos; http://www.dbms2.com/2008/10/15/teradatas-petabyte-power-players/ 500+ EACH DAY TERABYTES LARGE NORTH AMERICAN FINANCIAL SERVICES FIRMS 1.5+PETABYTES 1.8 IN 2011, THE AMOUNT OF DATA SURPASSED ZETTABYTES
  5. 5. User adoption is low 75% of Enterprise Employees will need analytics by 2020… yet only 10% use today. How will you drive analytic use? 10% 75% Use Analytics Today Need Analytics by 2020 $2.01B Annual revenue increase possibility if the median Fortune 1,000 business increased the usability of its data by just 10% 1,000% return on investment for every $1 spent on analytics Nucleus Research, Gartner, Fortune Magazine
  6. 6. New information signals :-) Brand Sentiment Higher NPS 360O Customer View Loyal Customers Product Recommendation More Sales Propensity to Churn Greater Retention Real-time Demand/ Supply Forecast More Efficient Predictive Maintenance Less Downtime Fraud Detection Lower Risk Network Optimization Lower Cost Insider Threats Greater Security Risk Mitigation, Real- time Retain Market Value Asset Tracking Increase Productivity Personalized Care Loyal Customers What signals are you missing? “ ” In 2011 the amount of data surpassed 1.8 Zettabytes 90% of the data in the world today has been created in the last two years alone IDC Digital Universe Study Extracting Value from Chaos
  7. 7. A changing relationship with information From mass production to mass specialization Personalized Insights Advanced Planning and Forecasting Sensing and Responding Predictive Modeling Real-time Reporting and Analysis “ ” Every product and service will be offered to us in exactly the way we need it, not how manufacturers want to deliver it. A Demographic of One, Michael S. Malone
  8. 8. Network of Truth Connecting people to data Real-time data platform Optimized for people Information culture Automate where possible “ ” 70% of respondents can envisage a “killer application” for big data that would be “very useful” or “spectacular” for their business. The majority chose not to disclose what that application would be because it would provide a competitive advantage. AIIM survey of 345 Information Professionals 2012 Transaction Engine Dimensional Engine Analytic Engine Predictive Engine Text Engine
  9. 9. Information Culture Use information as a strategic asset in decisions Build and tell fact-based stories Maximize performance with effective use of information Connecting people to data “ ” The stone age was marked by man's clever use of crude tools; the information age, to date, has been marked by man's crude use of clever tools. Anon
  10. 10. © 2013 SAP AG. All rights reserved. 9 Has your BI Strategy been updated for Big Data? SAP BI Strategy Framework Objectives Business Needs Business Benefit Technology Organization Background and Purpose Current State and History BI Objectives and Scope Summary of BI needs Envisioned To-Be State Priorities and Alignment Value Proposition of BI Expected Benefits – Future State KPI Business Case Information Categories Architecture and Standards BI Applications Governance Structure Program Management Roadmap and Milestones Measurement Education / Training Support User Engagement and Change Management are critical success factors. Do you have a BICC?
  11. 11. © 2011 SAP AG. All rights reserved. 10 SAP Big Data Analytics Maturity Model Levels of performance across 5 key best practice domains Level 1 Level 2 Level 3 Level 4 People & Skills Use Cases Governance No specific skills, Executive Audience, Personal Service Some limited skills to bring data into decision making BI Roles, Stakeholders and regular information skills Big Data Culture, Information integration in all practices, protecting info assets No Big Data business programs, seen as technology Line of Business example use cases; coping. Understanding and managing Big Data insights Big Data Business Model Innovation No Big Data Governance Business Driven Big Data Governance Competency Center & Big Data Governance Enterprise-wide Big Data Governance with Business Leadership Standards & Practices Do not exist or are not uniform Evolving effort to formalize Exist but are not uniform Uniform, followed and audited Information & Application Architecture No Big Data in any Process Some Isolated Big Data Applications Big Data Projects across business Big Data Drives Business Design
  12. 12. © 2013 SAP AG. All rights reserved. 11 Best Practices Implementation Approach for Big Data Analytics Step 1: Assess where you are today Step 2: Define where you want to go  What are the top 3-5 business objectives?  What key use cases are needed?  What analytics are critical? What data do you need/have? Step 3: Identify the gaps Step 4: Develop a roadmap to get there Step 5: Build consensus
  13. 13. © 2013 SAP AG. All rights reserved. 12 Agenda 1. Big Data “Art of the Possible” 2. Insight Driven Marketing 3. CIO View: How SAP Uses Big Data 4. SAP Solutions & Services
  14. 14. © 2013 SAP AG. All rights reserved. 13 What BIG DATA Means at SAP Marketing… 1.0B 50M 800/200 4.0M…2.0M 2.0B 5 0 0 M 27M-25M
  15. 15. © 2013 SAP AG. All rights reserved. 14 What BIG DATA Means at SAP Marketing… Large volumes of transactions processed Large data sets used for analysis and insight development Combining of data sources… • Customer Master Data • Derived and predictive data • Web data • Social data • Unstructured data • Community data Unconnected systems combined… intelligence appended
  16. 16. © 2013 SAP AG. All rights reserved. 15 What BIG DATA Means to SAP Marketing… Think it…Deliver it Velocity of insights and outputs Quality of Marketing Science Focus on user-consumption and user- direction New areas of analysis… …More analysis in current areas Unleash creativity
  17. 17. © 2013 SAP AG. All rights reserved. 16 BIG DATA means Insight-Driven Marketing Marketing Optimization Personalized Lead Delivery to sales agents World-wide Demand Management & Optimization CMO Dashboard Insight-Driven Events Product Recommendations Digital Experience Personalization, Optimization & Insight Social and Voice of the Customer Insight Always on Marketing Effectiveness
  18. 18. © 2013 SAP AG. All rights reserved. 17 In short…BIG DATA is affording more & better Marketing Science Increasing data volumes while concurrently reducing the technical barriers of data sourcing, integration, processing power, preparation and delivery… Allow for ubiquitous Marketing analytics, delivered more readily, more consumable and with more impact Increased Technical Abilities Greater Human Outcomes
  19. 19. © 2013 SAP AG. All rights reserved. 18 Agenda 1. Big Data “Art of the Possible” 2. Insight Driven Marketing 3. CIO View: How SAP Uses Big Data 4. SAP Solutions & Services
  20. 20. © 2013 SAP AG. All rights reserved. 19 Determining your ‘Big Data’ needs VisualizePredictAnalyze Report You need Big Data solutions if your current IT systems limit your ability to: Capture Engage
  21. 21. © 2013 SAP AG. All rights reserved. 20 Understanding the IT Environments that need to support Big Data Information Views EDW / Data Marts Data Mining / Predictive Analysis Real-time Database Insight Discovery Real-time Value Business Applications & Processes Analytic Tools, Custom Data Analysis Applications BI Tools Business Intelligence Analytic Data Warehouse Transactional Databases Other Application/ Data Sources Social Media Content Unstructured Content Machine Data 00110101 10010110 01001101
  22. 22. © 2013 SAP AG. All rights reserved. 21 Technology Innovation: In-memory Computing Yesterday Today Disk Partitioning Insert Only on Delta Compression Row and Column Store No aggregatesMemory + + + + Memory Logging and Backup – Solid State / Flash / HDD CPU Multi-Core Massively Parallel SingleOptimized Platform 64-bit address space supports 2TB RAM 100GB/s throughput Software and data reside on HDD • IO constraint • Support many platforms • Optimized for None • Take advantage of latest advances in hardware • Minimum IO time • Optimized for x86 platform Disk CPU +
  23. 23. © 2013 SAP AG. All rights reserved. 22 SAP HANA Transforms both Businesses and IT Sharpen marketing effectiveness 56x faster reporting: micro-targeted customer offers Accelerate monthly close & spending insight 75% reduction in CRM query ~23 to 6 seconds Launch new products or markets 400x faster report execution: Forecast sales-trends in real-time Remote roadside diagnostics in real-time Analyze 15 years 1 TB data in seconds Deeper customer relationships 360 customer view and comprehensive experience Reduce waste & fraud in government fund <2 min for detecting 100,000 names over 90M records Identify cancer DNA variants for treatment 216x faster results: 3 days  20 minutes Improve diagnostic through pattern detection 300M records; analysis in 2-10 seconds Predict customer purchase sentiment Seasonality Analysis in 5 seconds Improve labor utilization 1131x faster reporting time “Perfect order” experience 60x faster real-time insights
  24. 24. © 2013 SAP AG. All rights reserved. 23 Big Data – Big Insights in Healthcare SAP HANA powers the “Oncolyzer”, which can help doctors find the best therapies for 15 million of new cancer patients each year.
  25. 25. © 2013 SAP AG. All rights reserved. 24 SAP powers analytics that track more than 6 billion U.S. stock trades per day to identify fraud and protect investors. Big Data – Big Insights in Financial Services
  26. 26. © 2013 SAP AG. All rights reserved. 25 SAP Runs SAP Our SAP HANA Journey • Sales Pipeline (CRM) • Profitability Analysis (CO-PA) • Asset Accounting (FI-AA) • Overhead Management & CostCenter-Analysis • Rapid Deployment Solutions (e.g. FIN RDS) • SAP Community Network – Sentiment Analysis • Business Warehouse (BW) on HANA • Business Planning & Consolidation integrated to BW-Integrated Planning • Cash & Liquidity Management • Energy Management Business Suite on HANA Side-by-Side Primary Data Store for BW New Applications CRM on HANA LIVE ERP on HANA in August
  27. 27. © 2013 SAP AG. All rights reserved. 26 SAP Runs SAP HANA – Example Lead-2-Revenue Automation One Global Platform Supporting Marketing While Connecting with Sales OnDemand On-Premise HANA More Sales Ready Leads Faster At a Fraction Of The Cost Increase In Revenue Expand Funnel Accelerate Funnel Conversion Rate
  28. 28. © 2013 SAP AG. All rights reserved. 27 Agenda 1. Big Data “Art of the Possible” 2. Insight Driven Marketing 3. CIO View: How SAP Uses Big Data 4. SAP Solutions & Services
  29. 29. © 2013 SAP AG. All rights reserved. 28 SAP Real-Time Data Platform Unified open software platform for real-time business SAP Real-Time Data Platform foundations ● Cross-paradigm data access for new models of value discovery. ● Hyper-performance on all classes of application and usage scenarios ● Price-Performance value across all use cases Benefits ● Execute, record, analyze, and optimize without system limitations ● Embrace and extend across variations of data forms and processing models ● Common modeling, integrated development environment, shared systems management infrastructure, and deployment-independent solutions ● Trusted and unified data environment In-memory/real-time SAP HANA SAP Real-time Data Platform SAP Sybase ESP streams SAP Sybase SQL Anywhere mobile & embedded SAP Sybase IQ EDW SAP Sybase ASE transactions SAP Data Services Information management* Common programming APIs SAPSybasePowerDesigner modeling SAPSybaseControlCenter monitoringHadoop Big Data * Information management solutions include: SAP Data Services Enterprise, SAP Enterprise Master Data Management, SAP NetWeaver Information Lifecycle Management, SAP Enterprise ECM solutions by OpenText, SAP Sybase Replication Server
  30. 30. SAP HANA Insights: Big Data Starter Package *SAP BusinessObjects business intelligence (BI) solutions; SAP solutions for enterprise information Management (EIM); Built by Sanjay Poonen, Copyright SAP, Representative figures based off CIO interviews, showing approximate proportional quantities of IT spending in Analytics TCO Reduction by Approx 60% Traditional Stack = $15 SAP HANA Insights = $6 Oracle DB (e.g. Exadata) Informatica ETL BusinessObjects BI* SAS Predictive DBA and IT Costs Teradata/Exalytics $4 $1 $3 $1 $4 $2 $4 $2DBA and IT Costs BI Suite HANA Enterprise Predictive SAP HANA Insights
  31. 31. SAP BI Analytics Edition Package SAP Business Objects BI Suite Sybase IQ (32 cores / instance) Data Integrator (10 CPU) + + Up to €2.4 Million in Savings BI Suite (Full Use) Sybase IQ Enterprise (32 Cores / instance – RUNTIME) Data Integrator (10 CPU / instance – RUNTIME) SAP BI Analytics Edition
  32. 32. © 2013 SAP AG. All rights reserved. 31 How SAP Can Help Vision • Vision Workshop • Innovation Day • Co-Innovation Operationalize • Design Thinking Use Case Workshop • BI Strategy Assessment/ Update • Big Data/Business Analytic Services Pilot • Full Day Big Data Workshop • Pilot Planning & Roadmap • SAP Analytics Insights (Big Data Starter Kit) Education – Technologies – Services – Industry Expertise
  33. 33. © 2013 SAP AG. All rights reserved. 32 Questions? To Learn More Call: 1 888-817-2292 Visit: www.sap.com/bigdata
  34. 34. Thank You!
  35. 35. © 2013 SAP AG. All rights reserved. 34 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. Microsoft, Windows, Excel, Outlook, and PowerPoint are registered trademarks of Microsoft Corporation. IBM, DB2, DB2 Universal Database, System i, System i5, System p, System p5, System x, System z, System z10, System z9, z10, z9, iSeries, pSeries, xSeries, zSeries, eServer, z/VM, z/OS, i5/OS, S/390, OS/390, OS/400, AS/400, S/390 Parallel Enterprise Server, PowerVM, Power Architecture, POWER6+, POWER6, POWER5+, POWER5, POWER, OpenPower, PowerPC, BatchPipes, BladeCenter, System Storage, GPFS, HACMP, RETAIN, DB2 Connect, RACF, Redbooks, OS/2, Parallel Sysplex, MVS/ESA, AIX, Intelligent Miner, WebSphere, Netfinity, Tivoli and Informix are trademarks or registered trademarks of IBM Corporation. Linux is the registered trademark of Linus Torvalds in the U.S. and other countries. Adobe, the Adobe logo, Acrobat, PostScript, and Reader are either trademarks or registered trademarks of Adobe Systems Incorporated in the United States and/or other countries. Oracle and Java are registered trademarks of Oracle and/or its affiliates. UNIX, X/Open, OSF/1, and Motif are registered trademarks of the Open Group. Citrix, ICA, Program Neighborhood, MetaFrame, WinFrame, VideoFrame, and MultiWin are trademarks or registered trademarks of Citrix Systems, Inc. HTML, XML, XHTML and W3C are trademarks or registered trademarks of W3C®, World Wide Web Consortium, Massachusetts Institute of Technology. © 2013 SAP AG. All rights reserved. SAP, R/3, SAP NetWeaver, Duet, PartnerEdge, ByDesign, SAP BusinessObjects Explorer, StreamWork, 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. Business Objects and the Business Objects logo, BusinessObjects, Crystal Reports, Crystal Decisions, Web Intelligence, Xcelsius, and other Business Objects products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of Business Objects Software Ltd. Business Objects is an SAP company. Sybase and Adaptive Server, iAnywhere, Sybase 365, SQL Anywhere, and other Sybase products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of Sybase, Inc. Sybase is an SAP company. All other product and service names mentioned are the trademarks of their respective companies. Data contained in this document serves informational purposes only. National product specifications may vary. The information in this document is proprietary to SAP. No part of this document may be reproduced, copied, or transmitted in any form or for any purpose without the express prior written permission of SAP AG.

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