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The Big Trends in BI & Analytics

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Presentation from SAP Forum Luxembourg

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The Big Trends in BI & Analytics

  1. 1. The Big Trends in BI & Analytics Timo Elliott, Global Innovation Evangelist May, 2016 @timoelliott
  2. 2. Technology Priorities for 2016 and beyond Rank Technology Trend 1 BI/Analytics 2 Cloud 3 Mobile 4 Digitalization / Digital Marketing 5 Infrastructure & Data Center 6 ERP 7 Security 8 Industry-Specific Applications 9 Customer Relationships 10 Networking, Voice, and Data Comms Gartner: 2016 Nine out of eleven years 2006-2016 ANALYTICS #1
  3. 3. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 3Internal By 2020, information will be used to reinvent, digitalize, or eliminate % of business processes and products from a decade earlier. From The Back Office To The Business Models of Future ” “ @timoelliott
  4. 4. 4 IT Craftsmanship IT Industrialization Digitalization IT provides innovations and new capabilities IT supports efficiency, effectiveness, and integrity Engage Offer Monetize Adapt Create Ideate Digital provides continual opportunities for growth, innovation, and differentiation The Third Era of Information Technology @timoelliott
  5. 5. 5 Digital Business and the Rise of the CDOs @timoelliott
  6. 6. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 6Internal Are you a BI-nosaur?
  7. 7. Enterprise systems are too slow 31% wait days or weeks for an average BI request
  8. 8. Enterprise BI: too little data, and too hard to use
  9. 9. Most of the data users need isn’t in the system “We found, on average, that 45% of the data business people use resides outside of the enterprise BI environments. An astonishingly miniscule 2% of business decision-makers reported using solely enterprise BI applications.” - Forrester 55% 45% In enterprise systems Not in enterprise system “By 2019, 75% of analytics solutions will incorporate 10 or more external data sources” - Gartner
  10. 10. 40% are using an equal amount or more of homegrown applications So users turn to their own systems…
  11. 11. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 11Internal
  12. 12. Data-Driven Approach Push: • From IT • Data-Driven • Data to Insight • Technology-Centric
  13. 13. Value-Driven Approach Pull: • From LOB • Outcome-Driven • Insight to Data • Use-Case-Centric
  14. 14. Combination Approach Push: • From IT • Data-Driven • Data to Insight • Technology-Centric Pull: • From LOB • Outcome-Driven • Insight to Data • Use-Case-Centric
  15. 15. “Modern BI”
  16. 16. “Systems of Insight” “Earlier-Generation BI Is No Longer Enough” • Earlier-generation BI can’t keep up in the age of the customer. • Agile BI and big data are the building blocks of systems of insight Source: Forrester Research, Inc. Systems of insight Big data Earlier- generation BI and analytics Agile BI Less More Less More Business agility Amount and availability of data
  17. 17. Revenge of the Full Client?
  18. 18. 18 Cloud Analytics @timoelliott It’s not Pie in the Sky! Data gravity: BI in the cloud when the data’s in the cloud
  19. 19. 19 SAP BusinessObjects Cloud
  20. 20. Culture Change From Power to Empower From Collection to Connection From Control to Trust “So we don’t need a centralized truth?!” “Absolutely. Never worked, doesn’t work, will not work” @frankbuytendijk “BICCs are Dead”
  21. 21. Live Business
  22. 22. “Intricate calculations of sales by territories will appear as if by magic in the digital age ahead”
  23. 23. 23 Decision Cockpits
  24. 24. 24
  25. 25. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 25Internal Pret A Manger
  26. 26. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 26Internal
  27. 27. © 2014 SAP AG. All rights reserved. 27 What Food to Make, When? Knowledge Check Past Sales Check Forecast Check Must Stock Run and Check Range Tool Set 60%/70% Fixed First Production Hot Food Continuous Replenishment All Other Food Monitor for 2nd and 3rd Variable Productions
  28. 28. © 2014 SAP AG. All rights reserved. 28 What Food to Make, When? Trading Patterns Core Range Weather Special Events
  29. 29. © 2014 SAP AG. All rights reserved. 29 Internal Data External Data Slow and Steady Data Transactional, Changeable Data POS Data Deliveries Store Attributes Store Org Structure Store Placement Store Staff Store Visibility, Signage Competitor Store Attributes Census, ONS Data POI Data GIS Competitor and Cannibalisation Footfall Weather Events Real Estate Choosing a New Store Location
  30. 30. • $4.48 billion revenue • 40K employees • > 8M patients/year
  31. 31. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 31Internal Mercy Health Mercy — one of US Most Wired for 12th Year in a row!
  32. 32. “It is mind-blowing how versatile and nimble our data warehouse is on SAP HANA.” Agile self-service with SAP HANA and SAP Lumira. 9 years of data, structured & unstructured
  33. 33. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 35Internal
  34. 34. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 36Internal
  35. 35. New Business Models @timoelliott
  36. 36. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 38Internal Digital Transformation Balance the needs of today with a vision of the future New Customer Experiences New Value Creation Models New Business Models
  37. 37. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 39Internal Suite Applications S/4HANA Icon Analytics C4A BOBJ ExtensionsApplications IoT HANACloudPlatform (Micro-) Services IoT Platform Identity Management BusinessNetwork CEC Platform HANA anyDB Hadoop Vora DistributedComputing Platform SAP Platform for Digital Transformation
  38. 38. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 40Internal Thank You! Timo Elliott VP, Global innovation Evangelist Timo.Elliott@sap.com @timoelliott

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