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Endless Business Possibilities of Big Data

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Presentation at SAP Innovation Forum, Stockholm, 2015

Published in: Technology

Endless Business Possibilities of Big Data

  1. 1. The Endless Business Possibilities of Big Data Timo Elliott, Global Innovation Evangelist, SAP @timoelliott
  2. 2. Big Data Is…
  3. 3. Process data Human data Machine data
  4. 4. © 2014 SAP AG. All rights reserved. 4Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012 Unstructured 50TB Semi-structured 2 TB Structured 12 TB Only 12% used today Average data volume per company 9 TB 75 TB 0.6 TB 5 TB 4 TB 50 TB SMBs: LEs: Base: 634 business intelligence users and planners Companies don’t use most of their data
  5. 5. © 2014 SAP AG. All rights reserved. 5 Big Data is at Peak of Inflated Expectations… Source: Gartner
  6. 6. © 2014 SAP AG. All rights reserved. 6 Benefits from Big Data Initiatives Source: Information Difference Research Study: “Big Data Revealed” 1. “DON’T KNOW” (51%) 2. Identified new business opportunities (31%) 3. Improved operational efficiency (11%) 4. More reliable decision making (9%) 5. Identified new product opportunities (6%)
  7. 7. Back To The Future…
  8. 8. Descriptive: What happened? Diagnostic: Why did it happen? Predictive: What will happen? Prescriptive: How can we make it happen? Taking Analytics To The Next Level Inertia Comfort level Low-hanging fruit Common tools Low skills required Little data needed Limited data or app integration required Lack of experience Scary “black box” algorithms Challenging problems Sophisticated tools and techniques Data science and big data skills High volume, velocity, variety data Significant data and/or application integration
  9. 9. cloud data mobileMORE! sensors speed social There’s Been An Explosion of New Technology
  10. 10. 10 Big Data Discovery = Big Data Data Discovery Data Science Gartner Strategic Planning Assumption: By 2017, Big Data Discovery Will Evolve Into a Distinct Market Category
  11. 11. Big Data Discovery • Volume, velocity, or variety of data • Potential business impact • Difficult to implement • Potentially expensive • Lack of skills available • Ease of use • Agility and flexibility • Time-to-results • Installed user base • Complexity of analysis • Potential impact • Range of tools • Smart algorithms • Difficult to implement • Slow and complex • Narrow focus of analysis • Limited depth of information exploration • Low complexity of analysis BIG DATA DATA SCIENCE DATA DISCOVERY
  12. 12. Big Data Discovery • Simpler to use than data science • Accessible to a wider range of users • Broad range of data manipulation features • Able to handle new types of data sources • With adequate performance for big data BIG DATA DISCOVERY
  13. 13. Potential impact per user Potential user base The Rise of the Citizen Data Scientist Business analyst Data scientist Citizen data scientist
  14. 14. Big Data Discovery From SAP Big Data Discovery SAP HANA (+ Hadoop etc.) SAP Predictive Analytics 2.0 SAP Lumira
  15. 15. Big Data Discovery From SAP DEMO BIG DATA DISCOVERY
  16. 16. SOCIAL ANALYTICS MOBILE APPLICATIONS CLOUD NETWORKS From Technology to Simple Business Innovation S I M P L E
  17. 17. Hyper-personalize Customer Experience Plan & optimize Resources in Real-time Engage & empower Workforce of the Future Harness the intelligence of Networked Economy Key Areas of Opportunity
  18. 18. CUSTOMER ENGAGEMENT
  19. 19. Reinvent Luxury Service
  20. 20. 20© 2014 SAP AG or an SAP affiliate company. All rights reserved. Burberry The benefits of the SAP HANA platform are significant with a hugely simplified footprint. We’re putting the whole business on the SAP HANA Enterprise cloud ” “
  21. 21. © 2014 SAP AG. All rights reserved. 21 Listening to Customers
  22. 22. © 2014 SAP AG. All rights reserved. 22 Improving Customers Lives Combine structured and unstructured data for complaint handling and patient experience reporting “The improved information flow allows Medtronic to address product performance issues efficiently, accurately, and effectively and to detect trends at an earlier stage.”
  23. 23. New Products & Services
  24. 24. Connected Cars
  25. 25. Henrik Lundqvist Gustav Nyquist
  26. 26. National Hockey League
  27. 27. EMPLOYEE EMPOWERMENT
  28. 28. Empowering Individual Performance
  29. 29. University of Kentucky “Saving 1% in Student Retention can save my University’s bottom line $1M a year”
  30. 30. Empowering Employees
  31. 31. Predictive HR? : Employee Will Leave Within 12 Months
  32. 32. RESOURCE OPTIMIZATION
  33. 33. © 2014 SAP AG or an SAP affiliate company. All rights reserved. Unilever “if we knew then what we know now, we would have started deploying SAP HANA much earlier, because it’s so important for business... We think it’s even more disruptive than we initially thought — we’ve only just started” Marc Béchet, VP Global IT ERP, Unilever
  34. 34. Textile Rubber & Chemical Company 500 Employees, 4 internal IT staff Business Suite on HANA Why in-memory? Because it simplified our IT Landscape In 5 minutes we could see more information than we could in the last 7 months ” “
  35. 35. Internet of Things
  36. 36. Sensors Enable New Processes and Applications Weissbeerger Beverage Analytics
  37. 37. Transport For London
  38. 38. Smart Washrooms
  39. 39. Networked Crane Safety
  40. 40. The Datification of Truck Tires
  41. 41. © 2014 SAP AG. All rights reserved. 41 Aggregate Insights
  42. 42. Kaeser Compressor “Our predictive maintenance solution has enabled us to proactively attend to maintenance needs and increase service levels for customers“
  43. 43. Drones
  44. 44. Predictive Maintenance DEMO
  45. 45. NETWORKED ECONOMY
  46. 46. Networked Economy: The Next Economic Revolution All figures are in Trillions; 1990 international dollars; Source: Department of Economics, UC Berkeley, BAIN 8 MacroTrends Brief. 1850 Industrial economy $0.36T IT economy 1970 $12.10T 1990 Internet economy $27.50T 2020 Networked economy $90.0T Gross world product
  47. 47. Information Ecosystems 47
  48. 48. CONCLUSION
  49. 49. Hyper-personalize Customer Experience Plan & optimize Resources in Real-time Engage & empower Workforce of the Future Harness the intelligence of Networked Economy Let us work with you to help you run better
  50. 50. Packaged Applications
  51. 51. © 2014 SAP AG. All rights reserved. 51 DESIGN THINKING
  52. 52. © 2015 SAP SE or an SAP affiliate company. All rights reserved. Thank you! timoelliott.com timo.elliott@sap.com @timoelliott

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