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How Data is Powering The Future of Business: Trends and Opportunities

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My presentation from the SAP UK "Journey to the Top" event, giving real-world examples of organizations that have used data to innovate the way they do business, talking about the latest trends in data, and how SAP can help with the SAP Business Technology Platform.

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How Data is Powering The Future of Business: Trends and Opportunities

  1. 1. Timo Elliott, VP Global Innovation Evangelist for SAP How Data is Powering the Future of Business Trends and Opportunities
  2. 2. 3© 2018 SAP SE or an SAP affiliate company. All rights reserved. Did you know there’s more data THAN EVER BEFORE?! Yes Doh! Actually, yeah No, really?! 🙄
  3. 3. 4© 2018 SAP SE or an SAP affiliate company. All rights reserved.
  4. 4. 5© 2018 SAP SE or an SAP affiliate company. All rights reserved.
  5. 5. Real-world examples of data innovation
  6. 6. 7© 2018 SAP SE or an SAP affiliate company. All rights reserved. Videojuegos de agro La experiencia del campo a través de la pantalla Sustainable agriculture with location intelligence
  7. 7. 8© 2018 SAP SE or an SAP affiliate company. All rights reserved.Copernicus Sentinel-2
  8. 8. 9© 2018 SAP SE or an SAP affiliate company. All rights reserved.
  9. 9. 10© 2018 SAP SE or an SAP affiliate company. All rights reserved. Best practices Lessons Learned
  10. 10. 11© 2018 SAP SE or an SAP affiliate company. All rights reserved. Spotting Giant Hogweed – by Drone! Lessons Learned
  11. 11. 12© 2018 SAP SE or an SAP affiliate company. All rights reserved.
  12. 12. 13© 2018 SAP SE or an SAP affiliate company. All rights reserved. The problem Unexpected high water usage Leak detected Leak fixed
  13. 13. 14© 2018 SAP SE or an SAP affiliate company. All rights reserved. High-level architecture
  14. 14. 15© 2018 SAP SE or an SAP affiliate company. All rights reserved. Proactive alerts
  15. 15. 16© 2018 SAP SE or an SAP affiliate company. All rights reserved. Leak detection using the SAP Digital Boardroom
  16. 16. 17© 2018 SAP SE or an SAP affiliate company. All rights reserved.
  17. 17. 18© 2018 SAP SE or an SAP affiliate company. All rights reserved. Key facts and figures Lessons Learned
  18. 18. 19© 2018 SAP SE or an SAP affiliate company. All rights reserved. AgilityWorks
  19. 19. 20© 2018 SAP SE or an SAP affiliate company. All rights reserved. ePacha Lessons Learned
  20. 20. 21© 2018 SAP SE or an SAP affiliate company. All rights reserved. Cirque du Soleil Lessons Learned
  21. 21. 22© 2018 SAP SE or an SAP affiliate company. All rights reserved. Keytree
  22. 22. 23© 2018 SAP SE or an SAP affiliate company. All rights reserved. The Solution: Deploy 200+ Attended RPA bots Reduction in handling time > 80% Production in 6 weeks Major improvement in customer satisfaction Robotic Process Automation: BNP Paribas Hello Bank The problem: Very complex customer onboarding process 12+ applications 30+ manual steps Processing time reduced from 25 to < 5 mins Lessons Learned
  23. 23. 24© 2018 SAP SE or an SAP affiliate company. All rights reserved. San Francisco 49ers Lessons Learned
  24. 24. 25© 2018 SAP SE or an SAP affiliate company. All rights reserved.
  25. 25. 26© 2018 SAP SE or an SAP affiliate company. All rights reserved.
  26. 26. 27© 2018 SAP SE or an SAP affiliate company. All rights reserved. Motochic “Having the right data, at the right time, from the right audience makes all the difference.” Kelly Williams Founder, MotoChic Gear Lessons Learned
  27. 27. 28© 2018 SAP SE or an SAP affiliate company. All rights reserved. Enterprise XM: Experience Led Innovation Optimizing Innovation & Product Development Cycles
  28. 28. 29© 2018 SAP SE or an SAP affiliate company. All rights reserved.
  29. 29. 30© 2018 SAP SE or an SAP affiliate company. All rights reserved. Lessons Learned
  30. 30. 31© 2018 SAP SE or an SAP affiliate company. All rights reserved. Talanx Insurance Lessons Learned
  31. 31. 32© 2018 SAP SE or an SAP affiliate company. All rights reserved. Lessons Learned
  32. 32. 33© 2018 SAP SE or an SAP affiliate company. All rights reserved. SAP Data Intelligence foundation for the AI Assembly Line Learn • Streaming Data • Structured Data • Unstructured Data Connect Scale Consume • Data Hub Orchestration • Agile Data Preparation • Machine Learning • Deep Learning • Deploy Models • Monitor Performance • Refine and Enhance • Replace and Retire • Automate Business Processes • Visualize and Respond • Personalized Interaction
  33. 33. 34© 2018 SAP SE or an SAP affiliate company. All rights reserved. Data Collect data, prepare, calculate & consolidate Design ML Model using algorithms Moderate AI requirements like Forecasting, Trending, Influencers using algorithms like Regression, Clustering, Classification, Time-Series etc. (“predictive”) can be handled embedded in S/4HANA. More complex AI cases requiring external data and more complex algorithms, like Image Recognition, Sentiment Analysis, Natural Language Processing and Deep Learning, are typically offered side by side in Leonardo / SAP Cloud Platform. The availability of representative, high-quality data is essential for model design and validation. Train Increase the predictive confidence and predictive power during continuous evaluation, validation and fine tuning Use Case Idea Implementing Machine Learning and Predictive Analytics in SAP S/4HANA Predictive Stock in Transit Receivables Line Item Matching Recommendations in GR/IR Cockpit Identify & Rank items to Propose Contracts
  34. 34. 35© 2018 SAP SE or an SAP affiliate company. All rights reserved. Seafood experiences – a hotbed of fraud and deceit! Dr. Jennifer McDonald
  35. 35. 36© 2018 SAP SE or an SAP affiliate company. All rights reserved. Lessons Learned
  36. 36. 37© 2018 SAP SE or an SAP affiliate company. All rights reserved.
  37. 37. 38© 2018 SAP SE or an SAP affiliate company. All rights reserved. Largest privately-held spirits company in the world. 170 markets, 200 brands. Winning entry in an internal innovation competition around “Digitalizing Human Interaction” Design thinking methodology with extensive user outreach Proof of concept completed, project plans being finalized Bacardi Insights Room INSIGHTS DASHBOARD COMPETITOR ANALYSIS SENTIMENT ANALYSIS CUSTOMER ANALYSIS INVESTMENT ANALYSIS FORECAST SIMULATOR
  38. 38. 39© 2018 SAP SE or an SAP affiliate company. All rights reserved.
  39. 39. 40© 2018 SAP SE or an SAP affiliate company. All rights reserved. New interfaces are fast becoming reality Alexa, open Bacardi insight What were the sales of Grey Goose in the UK market for the last reported month? Q2 2015 Q42018 45MM Alexa sales Lessons Learned
  40. 40. 41© 2018 SAP SE or an SAP affiliate company. All rights reserved. Customer service SAP Conversational AI Common use cases for customers and employees Employee service IT, HR, Analytics Sales / Aftersales Pre-select or fully handle repetitive customer support inquiries through a chatbot Build your own chatbot - Answer employee inquiries e.g. in IT for password reset or HR for KPIs Checking of order or invoice request of internal or external users from a back-end; field services through CRM integration SAP's Digital Assistant Digital Assistant* with OData Services integration, a master hub with pre-built skills* for SAP systems, e.g. HR leave request in SFSF *will be available soon
  41. 41. Some data about data
  42. 42. 43© 2018 SAP SE or an SAP affiliate company. All rights reserved. DID YOU KNOW THERE’S MORE DATA THAN EVER BEFORE?! Source: IDC The % structured or tagged is also rising… Opportunity! New data captured / created / replicated
  43. 43. 44© 2018 SAP SE or an SAP affiliate company. All rights reserved. Data stored by manager Source: IDC Enterprise surpasses consumer, cloud overtaking both
  44. 44. 45© 2018 SAP SE or an SAP affiliate company. All rights reserved. By 2022, 90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency. Data and analytics will become the centerpiece of enterprise strategy, focus and investment Data is the foundation of the business models of the future Source: Gartner Gartner “An intelligent enterprise is one that primarily manages and coordinates information and intellect to meet customer needs.” James Brian Quinn, 1992
  45. 45. 46© 2018 SAP SE or an SAP affiliate company. All rights reserved. Gartner “AI augmentation will create $2.9trn of business value and save 6.2bn man-hours globally”* Machine learning is a breakthrough opportunity to turn data into productivity Source: Gartner *at 2,087 official work hours per person per year, that’s almost 30 million person-years!!
  46. 46. 47© 2018 SAP SE or an SAP affiliate company. All rights reserved. Every industry and line of business will benefit… “AI analytics could add around $13trn or 16% to annual GDP by 2030” McKinsey Source: McKinsey via the Economist
  47. 47. 48© 2018 SAP SE or an SAP affiliate company. All rights reserved. Getting data wrong is getting a lot more expensive… Source: IBM vis The Guardian “The cost of the average data breach in 2019 ultimately depends on the country and industry but in general, can span anywhere from $1.25 million to $8.19 million.”
  48. 48. 49© 2018 SAP SE or an SAP affiliate company. All rights reserved. Data breaches, compliance, reputational risk…
  49. 49. 50© 2018 SAP SE or an SAP affiliate company. All rights reserved. Data is still not treated like a strategic asset… 5% 28% 26% 20% 21% Strongly Disagree Disagree Neutral Agree Strongly Agree “My organization values our information as a strategic asset – in words and actions” Source: audience survey, Gartner Data & Analytics, London, 2017
  50. 50. 51© 2018 SAP SE or an SAP affiliate company. All rights reserved. …but that’s changing: the rise of the Chief Data Officer Source: https://www.visualcapitalist.com/the-rise-of-the-chief-data-officer-cdo/ 1000 20152000 400 2005 Financial crisis lead to new regulations 4000+ 20192010 Gartner prediction: 90% of large organizations will have a Chief Data Officer by 2019
  51. 51. 52© 2018 SAP SE or an SAP affiliate company. All rights reserved. “Most people have a better inventory of their office furniture than their own information assets!” Doug Laney, Gartner
  52. 52. 54© 2018 SAP SE or an SAP affiliate company. All rights reserved. If you collect data, you have moral responsibilities… (Don’t be creepy)
  53. 53. 55© 2018 SAP SE or an SAP affiliate company. All rights reserved. Be afraid…
  54. 54. 56© 2018 SAP SE or an SAP affiliate company. All rights reserved. If your spouse or child or calls needing money… it may not be your spouse or child!
  55. 55. The Intelligent Enterprise
  56. 56. 58© 2018 SAP SE or an SAP affiliate company. All rights reserved. The bottom line: data is more valuable than ever before… (Which means you are, too!) ROI Costs There’s never been a better time to work on a strong data foundation
  57. 57. 59© 2018 SAP SE or an SAP affiliate company. All rights reserved. Helping companies become an intelligent enterprise Database & data management Business processes and data X DATA O DATA Analytics Application development & integration Intelligent Technologies
  58. 58. 60© 2018 SAP SE or an SAP affiliate company. All rights reserved. * Services availability may change per deployment model and IaaS vendors Any database/ any data store connectivity Open environment and runtime Open API Database & data management Business data and processes X DATA O DATA Analytics Application development & integration Intelligent Technologies Outcomes Business Technology Platform Flexible deployment: cloud, on-premise, hybrid, edge* Intelligent suite with infused SAP Leonardo capabilities Frictionless integration of intelligent suite with third-party solutions Simple extension of intelligent suite with customer and partner innovation New customer and partner business applications Rapid insights with immediate action
  59. 59. Conclusion
  60. 60. 62© 2018 SAP SE or an SAP affiliate company. All rights reserved. The future of business is data ecosystems End-to-end customer experience New business models based on consumption and experiences Compliance responsibilities Data ethics Impact on society as a whole
  61. 61. 63© 2018 SAP SE or an SAP affiliate company. All rights reserved. “Every generation imagines itself to be more intelligent than the one that went before it, and wiser than the one that comes after it.” George Orwell
  62. 62. Timo Elliott timo.elliott@sap.com @timoelliott Thank you!

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