UK & Ireland SAP User Conference 2013 Analytics Keynote

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Keynote for the Analytics track of the UK & Ireland SAP User Conference 2013, in Birmingham, UK

Keynote for the Analytics track of the UK & Ireland SAP User Conference 2013, in Birmingham, UK

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  • 1. Analytics Keynote Timo Elliott, Innovation Evangelist, SAP “73% of keynote speakers know that the best way to get an audience’s attention is to present a useless factoid” @timoelliott
  • 2. Questions! QuestionRater.com/ukisug13
  • 3. © 2013 SAP AG. All rights reserved. 3
  • 4. “Every company is an IT company, every budget is an IT budget” © 2013 SAP AG. All rights reserved. 4
  • 5. SMAC* Down! *Social, mobile, analytics, cloud “The real and virtual world will be one, consumer IT and organizational IT will be one” © 2013 SAP AG. All rights reserved. 5
  • 6. What Should You Do? DIGITALIZE BUSINESS PROCESSES © 2013 SAP AG. All rights reserved. PURSUE DIGITAL BUSINESS MODELS COMPETE FOR BUSINESS MOMENTS 6
  • 7. © 2013 SAP AG. All rights reserved. 7
  • 8. YASOHMDTIITW* Bit, Byte, Kilobyte, Megabyte, Gigabyte, Terabyte, Petabyte, Exabyte, Zettabyte, Yottabyte…. Brontobyte or Hellabyte * Yet Another Slide On How Much Data There Is In The World © 2013 SAP AG. All rights reserved. 8
  • 9. Information becomes what you sell… HBR: “Analytics 3.0” i i i IT ownership © 2013 SAP AG. All rights reserved. Business ownership Public 9
  • 10. Analytic maturity Prescriptive: How can we make it happen? Predictive: What will happen? Diagnostic: Why did it happen? Descriptive: What happened? Hindsight Insight Foresight
  • 11. No Analytics? Welcome to the HIPPO © 2013 SAP AG. All rights reserved. Public 11
  • 12. Unlocking the value of “Dark Data” IT is not agile enough and the business wants to get involved Missing new insights Use Analytics 10% Today Not utilizing all the information out there 75% Need Analytics by 2020 Ability to manage and consume all data is getting harder = Not leveraging the power of collective insight On average, companies only use 12% of their data. Nucleus Research, Gartner, Fortune Magazine Forrester Research
  • 13. “Big Data” Transactions, Interactions, Observations Map Reduce / Hadoop / NoSQL Data Scientists
  • 14. Big Data Enterprise Data Warehouses Scott Sandford, NASA Ames Research Center © 2013 SAP AG. All rights reserved. 14
  • 15. Slide by Mark Madson, Third Nature Inc © 2013 SAP AG. All rights reserved. Public 15
  • 16. Google Spanner “NoSQL” is out, “NewSQL” is in… “Data is stored in schematized semi-relational tables… Spanner supports general-purpose transactions, and provides a SQL-based query language” 16
  • 17. Imagine if Your Apps Looked Like a DW to BI Tools Customer Service Risk Management Team Finance and Operations Account Administration Executive Management SAP HANA SAP HANA Live (Virtual Data Model) Customers Inventory © 2013 SAP AG. All rights reserved. Channel Products Suppliers Pricing Accounting Planning Forecasting 17
  • 18. Data Warehouse? Yes, But “Logical” © 2013 SAP AG. All rights reserved. 18
  • 19. Real-Time Data Processing Platform Specialty Analytic Databases Traditional Databases & Solutions Fewer Layers  Same Core Data  Simpler Landscape Transact Analyze SAP RTDP Analyze & Transact in Real-time
  • 20. Edward James Snowden Edward Joseph Snowden
  • 21. Information Steward 4.2 Data Quality Advisor Assess Recommend Tune Redundancy Profiling  Data Profiling  Validation Rules  Content Type  Validate address data Discovery  Cleansing Rules  Address Profiling  Dependency Profiling  Identify attribute-level connections in data. (Normalization rules practice)  Redundancy Profiling  Identify degree of duplication  Uniqueness Profiling  Match Rules  View Before / After Results  Fine Tune With What-If Analysis  Publish Rules Drill down to duplicate and non-duplicate records  Identify non-unique data © 2013 SAP AG. All rights reserved. Public 23
  • 22. But It’s Not About Technology “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.” © 2013 SAP AG. All rights reserved. 25
  • 23. People Are The Most Important “Technology” It takes expertise and creativity to turn technology into business innovation © 2013 SAP AG. All rights reserved. 26
  • 24. 80% of CEOs think they deliver a superior customer experience -- but only 8% of customers agree. Source: The New Yorker
  • 25. Engage Your Fans © 2013 SAP AG. All rights reserved. Does This Apply To You? 28
  • 26. © 2013 SAP AG. All rights reserved. 29
  • 27. Add Customer Value in Real-Time © 2013 SAP AG. All rights reserved. 30
  • 28. Optimize The Customer Experience With “Playnomics” © 2013 SAP AG. All rights reserved. 31
  • 29. Perfect Your Pricing and Packaging © 2013 SAP AG. All rights reserved. 32
  • 30. Help Your Partners Sell More © 2013 SAP AG. All rights reserved. 33
  • 31. Make Yourself Invaluable © 2013 SAP AG. All rights reserved. 34
  • 32. Give Your Executives Deep Visibility © 2013 SAP AG. All rights reserved. 35
  • 33. Engage Your Fans “Data-driven decision making played a huge role in creating a second term for the 44th President. In politics, the era of big data has arrived.” - Time Magazine © 2013 SAP AG. All rights reserved. 36
  • 34. Track Who Likes Your Products (And Why, And When…) © 2013 SAP AG. All rights reserved. 37
  • 35. Engage Your Students “In the past five years, taxpayers have spent $9Bn on college students who drop out before year two” © 2013 SAP AG. All rights reserved. 39
  • 36. Learn Then Act © 2013 SAP AG. All rights reserved. “Saving 1% in Student Retention can save my University’s bottom line $1M a year” 40
  • 37. By 2017, there will be close to $11 Billion in revenue from 35-million homes using home automation platforms across the globe. Source: GIGAom, 2013
  • 38. Wearable devices have grown by 2x month over month since October 2012. Source: Mary Meeker’s Internet Trends, 2013 Photo: Intel Free Press
  • 39. “We’ll put more computers in our laundry in a week than we’ve used in our lifetime so far” Gartner © 2013 SAP AG. All rights reserved. 43
  • 40. The “Datification” of Daily Life © 2013 SAP AG. All rights reserved. 44
  • 41. The “Datification” of Daily Life © 2013 SAP AG. All rights reserved. 45
  • 42. The “Datification” of Daily Life © 2013 SAP AG. All rights reserved. 46
  • 43. The “Datification” of Daily Life © 2013 SAP AG. All rights reserved. 47
  • 44. The “Datification” of Daily Life © 2013 SAP AG. All rights reserved. 48
  • 45. Never Lose Anything Again © 2013 SAP AG. All rights reserved. 49
  • 46. You Are Being Watched © 2013 SAP AG. All rights reserved. Public 51
  • 47. Is Your TV Spying On You? © 2013 SAP AG. All rights reserved. Public 52
  • 48. © 2013 SAP AG. All rights reserved. Public 53
  • 49. Discover Hidden Trends © 2013 SAP AG. All rights reserved. 54 54
  • 50. Optimize Maintenance © 2013 SAP AG. All rights reserved. 55
  • 51. Aggregate Insights © 2013 SAP AG. All rights reserved. 56
  • 52. Faster Iterations © 2013 SAP AG. All rights reserved. 57
  • 53. Make People Happy Experience Intelligence Center Event Interception Business Transformation © 2013 SAP AG. All rights reserved. 58
  • 54. Make People Happy © 2013 SAP AG. All rights reserved. 59
  • 55. Develop Your Data Scientists Kaoru Kawamoto – Japan’s First “Data Scientist of the Year” © 2013 SAP AG. All rights reserved. 60
  • 56. What, When, and Where © 2013 SAP AG. All rights reserved. 61
  • 57. Custom Visualization With Lumira © 2013 SAP AG. All rights reserved. 62
  • 58. Lumira and Visual Enterprise © 2013 SAP AG. All rights reserved. 63
  • 59. Mapping As New Analytical Tool (ESRI) © 2013 SAP AG. All rights reserved. 64
  • 60. Create a Commerce Eco-System Mapping stores on STM lines and stations • © 2013 SAP AG. All rights reserved. STM Partners’ stores. 67
  • 61. Create a Commerce Eco-System A platform for real-time interactivity between consumers, STM and partners • Receive information, discounts & Special offers Partners SAP Precision Retailing CRM (On-Demand, Multitenant, High Performance, Scalable) BI Merchants Outings Transports • Interact with consumer in the field • Run mobile marketing campaigns based on consumer profile and location © 2013 SAP AG. All rights reserved. • Interact with consumer in real-time anywhere, anytime. • Design & run mobile marketing campaigns based on consumer profile and location • Analyze consumer behavior in the field 68
  • 62. A Personalized, Multi-Vendor Customer Experience Select Rate & Order Deliver & Learn Valid at this time Eligible offers In the store(s) nearby For my profile (segments) The rating is based on the learning engine and on the characteristics of the shopping context, the consumer preferences, and the frequency of presentation. Top x What time is it ? Where am I? What is my personal profile? What is my CRM profile? © 2013 SAP AG. All rights reserved. What are my preferences ? Where am I? What is my personal profile? What is my CRM profile? 69
  • 63. Business Networks = information Networks Ariba Network More than 1M suppliers in more than 190 countries around the world Procurement Sales Finance Logistics Supply Chain Sustainability Compliance Transact with suppliers – the Network handles over $460 billion per year in commerce Reduce supply costs – customers save a combined total of $82M daily © 2013 SAP AG. All rights reserved. Suppliers Buyers Partners 70
  • 64. Adapting to The New World of Analytics © 2013 SAP AG. All rights reserved. 71
  • 65. Unleashing the Power of Collective Insight ENGAGE VISUALIZE PREDICT Imagine the potential… Predict demand or supply across your entire Supply Chain immediately Provide exactly the right offers and service levels to every customer Understand what your customers & potential customers are saying about you, right now Instantly predict market trends and customer needs and innovate new product and services quicker
  • 66. Directions DECISION MAKER DESIGNER Explore Plan Design Govern © 2013 SAP AG. All rights reserved. DATA Monitor People Enrich Explain ANALYST 76
  • 67. Analytics solutions from SAP Cloud Mobile Agile Visualization Big Data Advanced Analytics Enterprise Business Intelligence Collaboration
  • 68. Innovation And Design Thinking © 2013 SAP AG. All rights reserved. 78
  • 69. Questions! QuestionRater.com/ukisug13 © 2013 SAP AG. All rights reserved. Public 79
  • 70. Thank you Timo Elliott, SAP Email: timo.elliott@sap.com Twitter: @timoelliott Blog: timoelliott.com
  • 71. Business Intelligence Timeline 2000-2005 No BI strategy 2005-2010 One truth • No real BI strategy • VELUX Performance model • IT left to prioritize • Standard reporting • Multiple versions of the truth • One truth 2011 Future vision • Extend reporting to more users • Redefine our own role • More end user flexibility • Anchoring in finance VELUX deployed our first Global BI solution around 2000 together with the first SAP implementations 84
  • 72. A change in user profiles and patterns Over a period of 7 years we have seen several shifts in our BI user group in VELUX The shifts seem to happen with shorter and shorter intervals 2010 • System Expert • Favored Excel as front end • Could live with poor performance • Primarily used data from SAP 2005 ”The controller” ”The analyst” • General analyst • Wanted to use web reports as well • Interested in data from several sources • Demanded better performance • Expecting BI self service • Want’s information on mobile devices • Not scared of technology, uses the right tool for the job 2012 ”You and me” 85
  • 73. 86
  • 74. Advanced Profiling Redundancy Profiling  Address Profiling  Validate address data  Dependency Profiling  Identify attribute-level connections in data. (Normalization rules practice)  Redundancy Profiling  Identify degree of duplication  Uniqueness Profiling Drill down to duplicate and non-duplicate records  Identify non-unique data © 2013 SAP AG. All rights reserved. Public 94
  • 75. Visualization of Data Quality High-level balanced Data Quality Scorecard Latest quality score Data quality score metrics Quality trend over time / run © 2013 SAP AG. All rights reserved. Key Quality Dimensions (KPI for data), customizable Public 95
  • 76. Business Value Analysis Data Quality Financial Impact Calculator Connect financial ROI to data quality and information governance initiatives  Understand and demonstrate how bad data effects business bottom line  Identify potential savings using what-if analysis of quality level and costs  See drivers and metrics of financial impact calculation per failure © 2013 SAP AG. All rights reserved. Public 96