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Big Data Study: Summary Charts June 2013

Big Data Study: Summary Charts June 2013. Agenda. Study Overview Data & Technology Big Data Master Data Management. Study Overview. Respondents Primarily Work at Manufacturers or Retailers. Respondents Are Spread Across Discrete, Process and Retail Industries.

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Big Data Study: Summary Charts June 2013

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  1. Big Data Study:Summary ChartsJune 2013

  2. Agenda • Study Overview • Data & Technology • Big Data • Master Data Management

  3. Study Overview

  4. Respondents Primarily Work at Manufacturers or Retailers

  5. Respondents Are Spread Across Discrete,Process and Retail Industries

  6. Respondents Work at Companies with an Average of 20K Employees and $4B Revenue

  7. Respondents Are Primarily Based in theUnited States

  8. Respondents Primarily Work in Supply Chain or IT Roles

  9. 13% of Respondents Lead the Big Data Initiative;7% Lead the Master Data Management Program

  10. Agenda • Study Overview • Data & Technology • Big Data • Master Data Management

  11. The Ability to Use Data Is Among the TopElements of Supply Chain Pain

  12. Data Usage Is Bigger “Pain” for Those withBig Data Initiative and Those in IT Role

  13. Over One-Third Consider Big Data to beAmong the Top 3 Supply Chain Trends

  14. Big Data Is Seen as Bigger Trend by Manufacturers & Those with Big Data Initiative

  15. Supply Chain Visibility & Product Traceability Are Most Important Types of Data

  16. Supply Chain Visibility & Product Traceability Are the Best Used Types of Data

  17. Supply Chain Visibility and Product Traceability Are Most Important and Best Used Data

  18. Those with Big Data Initiative Are Better Able to Use Supply Chain Visibility Data, but LessAble to Use Sentiment Data from Social Media

  19. 15% Already Have a Database That Equals a Petabyte

  20. 18% Have a ERP Live Instance That Is 6+ Terabytes;16% Have 11+ Unique IT Systems

  21. Agenda • Study Overview • Data & Technology • Big Data • Master Data Management

  22. Most Respondents Are at Least Somewhat Familiar with “Big Data”

  23. Three-Quarters See Big Data as anOPPORTUNITY

  24. Why Big Data Is an “Opportunity” (Open-Ended)

  25. Why Big Data Is a “Problem” (Open-Ended)

  26. Over One-Quarter Have a Big Data Initiative and Over One-Third Plan to Have One

  27. Those with a Master Data Management Program Are Nearly Three Times as Likely to Have a Big Data Initiative as Those Without

  28. IT Tends to Lead the Big Data Initiative,Especially the CIO

  29. Top Techniques for Managing Big DataInclude Better Tools and Managed Services

  30. Top IT Systems to Benefit from Big DataStrategies Include Demand Planning, Order Management, Price Management

  31. Those with Big Data Initiative Are More Likely to See Benefits to Demand Planning, Order Management, Production Planning & Product Lifecycle Management

  32. Final Thoughts About Big Data(Open-Ended)

  33. Agenda • Study Overview • Data & Technology • Big Data • Master Data Management

  34. Nearly Two-Thirds Are at Least SomewhatFamiliar with “Master Data Management”

  35. One-third Already Have a MDM Program, with Nearly as Many Planning to Have One

  36. Those with a Big Data InitiativeAre More Than Twice as Likely to Have a MDM Program as Those Without

  37. Half of Those with a MDM Program Report ThatIT Is in Charge

  38. Performance is Relatively Low for Using Different Types of Master Data

  39. Use of Master Data Types Is Rated Higher forThose with MDM Program

  40. Use of Supplier Master Data Is Rated Higher forThose in IT vs. Other Roles

  41. Over Half Believe That Big Data MakesMaster Data Management EASIER

  42. Those with a Big Data Initiative or MDM ProgramAre Substantially More Likely to Think Big DataHelps with Master Data Management

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