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5 Hot Trends for Data and Analytics in 2017

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5 Hot Trends for Data and Analytics in 2017

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Check out slides from this 45-minute webcast to see what your organization needs to do to stay on top of the coming technology transformations and gain insight into upcoming trends in analytics.

View the webcast recording at: http://ow.ly/Rnu3307Umb9

Check out slides from this 45-minute webcast to see what your organization needs to do to stay on top of the coming technology transformations and gain insight into upcoming trends in analytics.

View the webcast recording at: http://ow.ly/Rnu3307Umb9

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5 Hot Trends for Data and Analytics in 2017

  1. 1. Meet us at Event Title! Donec rhoncus eu ipsum in auctor. Nulla facilisi. Nunc facilisis neque non turpis euismod, sit amet tempor mi hendrerit. CALL TO ACTION Booth #7803 Event Logo Dr. Rado Kotorov, Chief Innovation Officer Information Builders 5 Hot Trends for Data and Analytics in 2017
  2. 2. Five Hot Trends for BI and Analytics in 2017 2 Dr. Rado Kotorov
  3. 3. The New Business Reality 3
  4. 4. IT and Business Have Divergent Priorities 4 Technology Projects New Revenue Models
  5. 5. Business Is Asking: Why Do We Miss Opportunities? 5
  6. 6. Why Didn’t IT Invent UBER? 6
  7. 7. Change the Mindset: Manage Cyber Assets 7
  8. 8. Change the Mindset: Innovate with Data 8
  9. 9. Change the Mindset: Think Data Monetization 9
  10. 10. Success Requires IT and Business Partnership 10
  11. 11. Trend 1 11 Industry 4.0: Building the new digital enterprise using automation
  12. 12. Transition to Enterprise 4.0 Is a Strategic Priority 12
  13. 13. The Foundation of Enterprise 4.0 13 PWC 2016 Global Industry 4.0 Survey
  14. 14. The Foundation of Enterprise 4.0 14
  15. 15. The Foundation of Enterprise 4.0 15
  16. 16. Imperative: Manage The Data Value Chain 16
  17. 17. Trend 2 17 Analytics in the Digital Culture Revolution: Democratizing BI for fact-based decision making
  18. 18. Only 22% of Employees Have Access to BI & Analytics 18
  19. 19. The Most Important Stakeholders Are Left Out Cut Off
  20. 20. Operational Intelligence 20 Why You Need to Rethink Your Data and Analytics Roles Now, Gartner July 26, 2016
  21. 21. Operational Decision Making Is Different 21
  22. 22. How to Deliver BI to Operational Decision Makers? 22 Data Science is the art of turning data into actions. This is accomplished through the creation of data products, which provide actionable information without exposing decision makers to the underlying data or analytics (e.g., buy/sell strategies for financial instruments, a set of actions to improve product yield, or steps to improve product marketing).
  23. 23. Expedia: 1,000s of fields/100s of reports/0 training 23 Why do we use this analogy?
  24. 24. InfoApps: Iterative Dialog with Data to Find Answers 24
  25. 25. An InfoApp Empowers Mechanics to Save Money 25 An InfoApp from Information Builders available in 14 different languages for 60,000+ users in 14,000 dealerships. Helps employees make on the job repair- or-replace decisions and save Ford $60 million per year.
  26. 26. Trend 3 26 Report Consolidation: Cutting costs, improving BI adoption, and moving from reports to InfoApps™
  27. 27. Report Rich, Information Poor 27
  28. 28. Reporting Can Make Employees Inefficient 28 Source:
  29. 29. The Vicious Cycle of Reporting 29 Requests a report Gets a report Has two questions Gets two new reports Has hundreds of reports
  30. 30. Consolidate into a Single Self-Service InfoApp 30 Has hundreds of reports
  31. 31. Consolidating Large Number of Reports into InfoApps 31 Customer Before Consolidation After Consolidation Financial Institution 3,000 30 Retail 1,000 10 Service Organization 100 1 Transportation 1000 50
  32. 32. Monetary & Soft Benefits from Report Consolidation 32 % Reduction Cost per Report ($2K to $20K) X Savings= Higher Adoption= Better Performance=
  33. 33. Trend 4 33 The Rise of Customer-Facing Analytics: Monetizing data and consumerizing analytics
  34. 34. Productizing & Consumerizing 34
  35. 35. Analytic Products 35 Yellow Pages provides advertisers information to measure the return on their advertising dollars and track the success of their campaigns:  Approximately 52 billon rows (nine TB) of raw data per day  Response rate 2 to 10 seconds
  36. 36. Analytic Products 36
  37. 37. Empower the Consumer with In-Document Analytics 37 20 Billion 10 Per month 98% static
  38. 38. Transition from PDF to ADF 38 PDF (Portable Document Format) ADF (Analytical Document Format)
  39. 39. Trend 5 39 Data Management in the Digital Enterprise: Master data management (MDM), data quality, and governance
  40. 40. Integration and ETL are Foundational 40

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