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The Network of Truth

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The Network of Truth

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http://sap.com/bi - This keynote will outline important trends in analytics and how leading-edge companies are accelerating innovation and transforming the way employees, partners, and customers work with information and each other. Presenter: Adam Binnie, SAP

http://sap.com/bi - This keynote will outline important trends in analytics and how leading-edge companies are accelerating innovation and transforming the way employees, partners, and customers work with information and each other. Presenter: Adam Binnie, SAP

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The Network of Truth

  1. 1. The Network of Truth BI 2013 Keynote Adam Binnie
  2. 2. Before “a single version of truth” PEOPLE DATA
  3. 3. Before “a single version of truth” PEOPLE DATA DATA PEOPLE
  4. 4. A single version of truth PEOPLE DATA
  5. 5. A single version of truth PEOPLE DATA
  6. 6. New challenges for “the single version of truth” User expectation has changed PEOPLE DATA Data is getting BIG
  7. 7. Looking back at big data FBI records department from 1943 112,500,000 fingerprint files 85,000 law documents
  8. 8. Big data today GE engines in 2013 “ “These engines generate 1Tb of data per aircraft per day” Jeff Immelt – CEO GE Keynote for Minds + Machines 2012 talking about the new LEAP engine ”
  9. 9. New information signals What signals are you missing? “ :-) In 2011 the amount of data surpassed 1.8 Brand Sentiment Predictive Maintenance Network Optimization Insider Threats Higher NPS Less Downtime Lower Cost Greater Security Zettabytes 90% of the data in the world today has been created in the last two Asset Tracking Personalized Care Product Recommendation Risk Mitigation, Real-time years alone Increase Productivity Loyal Customers More Sales Retain Market Value IDC Digital Universe Study Extracting Value from Propensity to Churn Real-time Demand/ 360O Customer View Fraud Detection Chaos Greater Retention Supply Forecast Loyal Customers Lower Risk More Efficient ”
  10. 10. Demo F1 © 2013 SAP AG. All rights reserved. 10
  11. 11. A changing relationship with information How many models in 2013? “ In 1908, the price of a Model T was around $825, and by 1912 it had dropped to around $575. Wikipedia ”
  12. 12. A changing relationship with information From mass production to mass specialization “ 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 ”
  13. 13. A changing relationship with information From mass production to mass specialization “ Every product and Personalized Sensing and service will be offered Insights Responding to us in exactly the way we need it, not how manufacturers want to deliver it. Advanced Planning Predictive A Demographic of One, and Forecasting Modeling Michael S. Malone ” Real-time Reporting and Analysis
  14. 14. Demo NFL © 2013 SAP AG. All rights reserved. 14
  15. 15. We need a “Network of Truth” User expectation has changed DATA PEOPLE Data is getting BIG
  16. 16. Network of Truth Analogy – Encyclopedias Wikipedia Local experts Encyclopedia Britannica Encarta
  17. 17. Connecting people to data Network of Truth “ 70% of respondents can envisage a “killer Real-time data platform application” for big data that would be “very useful” or “spectacular” for their business. Optimized for people The majority chose not to disclose what that application would be Information culture because it would provide a competitive advantage. AIIM survey of 345 Information Professionals 2012 ”
  18. 18. Connecting people to data Real-time Data Platform “ By 2016, in-memory column-store DBMS using storage-class memory will replace 25% of traditional DW and OLTP systems. ” Gartner, Business Intelligence & Information Summit, DBMS Architecture for Data Warehousing -- Future Choices, Donald Feinberg, February 2013
  19. 19. Connecting people to data 5 dimensions of big data Deep Complex and interactive questions on granular data “ By 2016, in-memory column-store DBMS Broad High Speed using storage-class  Big data  Fast response time memory will replace  Many data types  Interactivity 25% of traditional DW SAP and OLTP systems. DATA HANA ” Real Time Simple  Recent data  No data preparation  Preferably real-time  No pre-aggregates  No tuning Gartner, Business Intelligence & Information Summit, DBMS Architecture for Data Warehousing -- Future Choices, Donald Feinberg, February 2013
  20. 20. Video © 2013 SAP AG. All rights reserved. 20
  21. 21. Connecting people to data Optimized for People “ The average person today processes more data in a single day than a person in the 1500’s did in a entire lifetime. The Human Face of Big Data ”
  22. 22. Connecting people to data Optimized for people “ The average person Decision Explore Monitor Maker today processes more data in a single day than Designer a person in the 1500’s Design Plan PEOPLE did in a entire lifetime. The Human Face of Big Data Govern DATA Enrich Explain ” Analyst
  23. 23. Demo © 2013 SAP AG. All rights reserved. 23
  24. 24. There’s a data geek in all of us Join the data geeks www.sap.com/datageek
  25. 25. Connecting people to data Information Culture “ When you two have finished arguing your opinions, I actually have data! © timoelliott.com ”
  26. 26. Connecting people to data Information Culture “ Use information as a strategic The stone age was asset in decisions marked by man's clever use of crude tools; the information age, to date, has been Build and tell fact-based stories marked by man's crude use of clever tools. Maximize performance with effective use of information Anon ”
  27. 27. Make informed and intelligent decisions Create meaning from the chaos of big data Get information in personal, trusted, interactive view anytime, anywhere Understand risk at every step of decision making
  28. 28. Increased efficiency with user independence Trend analysis Inventory optimization Improved hiring decisions
  29. 29. Experience the show like never before Coinstar and Redbox Inventory optimization Real-time offers Servicing efficiency
  30. 30. The intelligent city City of Boston Safety and security Smarter city governance Sustainable
  31. 31. Fashion retail like never before Burberry Improved customer experience and loyalty #1 IT-driven fashion retailer Innovation with personal mobile app
  32. 32. Network of Truth DATA PEOPLE
  33. 33. Network of Truth SAP PEOPLE HANA
  34. 34. Network of Truth SAP SAP Visual HANA Intelligence
  35. 35. Connecting people to data Introducing SAP HANA insights Traditional Stack “ DBA and We’ve seen dramatic IT Costs cost reduction with Predictive SAP customers, up to BI tools 60% compared to the SAP HANA Insights traditional approach Analytic DB DBA and IT Costs Sanjay Poonen ETL SAP HANA Insights Predictive ” Relational DB BI Suite HANA Enterprise
  36. 36. Announcing $ #SAPVisi
  37. 37. Join the Discussion to Re-Imagine BI #SAPVisi www.sapvisualintelligence.com

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