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Digital Transformation: How to Build an Analytics-Driven Culture

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http://alexloth.com/2017/12/11/diversify-long-term-crypto-portfolio/
<- Follow-up blog post "How to diversify a Long-term Crypto Portfolio"!

Executive Talk, Frankfurt School of Finance & Management, 8 December 2017

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Digital Transformation: How to Build an Analytics-Driven Culture

  1. 1. Digital Transformation: How to Build an Analytics-Driven Culture Alexander Loth, Digital Strategist @xlth Executive Talk Frankfurt School of Finance & Management 8 December 2017
  2. 2. 2009
  3. 3. 2017
  4. 4. We help people see and understand dataWe help see and understand datapeople
  5. 5. Digital Transformation: How to Build an Analytics-Driven Culture Alexander Loth, Digital Strategist @xlth Executive Talk Frankfurt School of Finance & Management 8 December 2017
  6. 6. 1. The Power of Visual Analytics 2. The Fourth Industrial Revolution 3. Modern Approach to an Analytics-driven Culture 4. Use Case: Predictive Maintenance 5. Use Case: Social Media 6. Use Case: Blockchain 7. The Role of Analytics in Digital Transformation Agenda
  7. 7. The Power of Visual Analytics
  8. 8. old school old school Supercharge your employees by supporting their creativity and curiosity with facts
  9. 9. The Fourth Industrial Revolution
  10. 10. Exploding Data Growth 4.4 ZETABYTES 44 ZETABYTES 180 ZETABYTES 2013 2020 2025 Source: IDG
  11. 11. “The world’s most valuable resource is no longer oil, but data” Source: http://www.economist.com/news/leaders/21721656-data-economy-demands-new-approach-antitrust-rules-worlds-most-valuable-resource May 6, 2017
  12. 12. When did data become so complicated? Branch Banking Web Banking Mobile Banking Context Banking Increased data centricity
  13. 13. HERE’S THE PROBLEM Existing systems were built for products and one-time transactions, not customers and long-term relationships Multiple Systems | Manual Processes | Rigid Technology | Product-Centric A Product ? ? Quoting Fulfillment E-Commerce Revenue Recognition Financials ERP SCM InventoryProduct Catalogue Collections Invoicing
  14. 14. Modern Approach to an Analytics- driven Culture
  15. 15. IT Group Business Users ReportingData Access ETL Requirement Gathering Analysis Traditional Business Intelligence Governance Consume Action
  16. 16. NO EMPOWERMENT Challenges today INABILITY TO MOVE QUICKLY PUTS DATA AT RISK INCONSISTENT AT SCALE Analysis capabilities limited to a select few, slow and inefficient. Creates backlogs. Business people relying on opinion not fact, loudest voices win. No consensus, everyone has an opinion, so no confidence in moving quickly Fear of data leakage and inadequate governance. No single source of truth. Inability to embed confident, consistent decision making at scale
  17. 17. Modern Analytics Self Service Governance Self Service Requirement Gathering ReportingData Access ETL Requirement Gathering Analysis Action IT Group Business Users
  18. 18. True analytic leadership requires an ability to empower users to be autonomous without creating a state of disorder.
  19. 19. Two Different Platforms
  20. 20. Governance Self-Service Needs of IT Protect data assets Needs of Business Generate value from data assets Traditionally a Tradeoff
  21. 21. Ad-Hoc AnalysisReporting Collaboration Modern Approach to an Analytics-driven Culture Self-service with Governance Requirement Gathering Data Access ETL Action IT Group Business Users
  22. 22. The 5 Roles in an Analytics-driven Culture Aaron Analyst Ivan IT Admin Chris Consumer Denise Data Steward Susan Super Consumer Filter Subscribe Interact Question Refine Expand Question Analyze Answer for Others Analyze Connect to Data Define Prepare Publish Connect to Data Secure Data Secure Content Manage Users Secure Data I T K N O W L E D G E D A T A V A L U E
  23. 23. Use Case: Predictive Maintenance
  24. 24. Modelling Techniques for Predictive Maintenance Regression • Predict remaining useful life, i.e. the amout of time before next failure Binary Classification • Predict failures within a future period of time Multiclass Classification • Predict failures with their causes within a future period of time Anomaly Detection • Identify change in „regular“ trends to find anomalies
  25. 25. Demo http://alexloth.com/2016/10/30/predictive-maintenance-hilft-ihnen- wartungsmasnahmen-effizient-zu-gestalten/
  26. 26. Deutsche Bahn, presenting at CeBIT 2017, https://twitter.com/xlth/status/845279463483068417
  27. 27. 13 December 2017: DB Skydeck, Silberturm, Jürgen-Ponto-Platz, Frankfurt Sign up: http://bit.ly/tab-ffm
  28. 28. Use Case: Social Media
  29. 29. Who is on Social Media?
  30. 30. That means you are the data!
  31. 31. The Customer-centric Social Media Strategy
  32. 32. Relevant Social Media Metrics
  33. 33. Relevant Social Media Metrics • Benchmarks – Followers, mentions • Audience – Impressions, reach, demographics, location, timing • Engagements – Likes, shares, views, comments, follows • Conversions – Clicks, leads • Opportunities – User-generated links, related hashtags • Sentiment – Brand monitoring, negative feedback
  34. 34. Demo http://alexloth.com/2016/08/01/7-fragen-die-unternehmen-helfen-ihr-ergebnis- mit-social-media-zu-steigern/
  35. 35. Use Case: Blockchain
  36. 36. Bitcoin Block Data
  37. 37. Demo http://alexloth.com/2017/01/31/price-sentiment- analysis-bitcoin-going/
  38. 38. Quinten Miller, Deutsche Bank, presenting at „Future of Enterprise Analytics“, https://twitter.com/xlth/status/938435474347233283
  39. 39. The Role of Analytics in Digital Transformation
  40. 40. Analytics is Key to Digital Transformation People Process Technology 01000100 01000001 01010100 01000001 Analytics
  41. 41. Software should be designed for deeper thinking
  42. 42. This is not a Technology Problem
  43. 43. People who know the data should ask the questions
  44. 44. Marketing FinanceSales IT Product Operations The new rule for an analytics-driven culture: Wrap your analytics around your customers to create business value
  45. 45. An analytics-driven culture applies to every stage of a decision Report Awareness ContextPrediction Decision
  46. 46. Support and Amplify your Company’s Anayltics-driven Culture
  47. 47. Digital Transformation: How to Build an Analytics-Driven Culture Alexander Loth, Digital Strategist @xlth Executive Talk Frankfurt School of Finance & Management 8 December 2017

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