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AE Foyer: Information Management in the Digital Enterprise

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Bimodal IT is an imperative part of the evolution to the Digital Enterprise; mobile, big data, innovation, customer experience, predictive analytics, … .
There are some apparent organizational hurdles to be taken, but there are also some less visible showstoppers lurking around the corner, especially when it comes to how we deal with data and information.
This AE Foyer looks at the impact of bimodal IT on how we do Information Management.
We present an approach (The Long Dog Leash) and an architecture (a true Enterprise Data Hub – EDH) that cater to the information needs of the Digital Enterprise.
You will learn how to avoid the pitfalls, ensuring your next innovative project lives up to its potential. An innovative and a core case are given side by side, showing the practical application of the approach.
More information management and analytics, can be found on http://analytics.ae.be/

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AE Foyer: Information Management in the Digital Enterprise

  1. 1. THE LONG DOG LEASH Information Management Challenges in the Digital Enterprise
  2. 2. Agenda Key Concepts The Long Dog Leash The Enterprise Data Hub Case: Innovate Case: Renovate the core Conclusions, takeaways
  3. 3. BS Bingo!
  4. 4. A look in the mirror? Operational Systems MDM Data Governance Innovation Decision Support BIODS Analytics
  5. 5. Everyone is BI? Apply traditional IT mentality to next-generation applications and services Failing to adopt new technologies 75% of enterprises admit to having this need 50% will fail
  6. 6. Organization Application Architecture Information Architecture IM Challenges Organization Application Architecture Information Architecture IM Challenges ALREADY EXISTS: LEGACY IT ENVIRONMENT, LED BY CIO OFTEN SILOS BUT UNDER CONTROL. KNOWN TECHNOLOGIES AND ROBUS MOSTLY RDBMS TECHNOLOGIES, HIGH AVAILABILITY IN OPS,SEPERATE DWH MASTER DATA MANAGEMENT, DATA GOVERNANCE, DATA QUALITY LED BY CDO – CHIEF DIGITAL OFFICER. SOMETIMES CALLED SHADOW-IT, SPIN- OFFS, INNOVATION LABS, EXTERNAL EXPERIMENTAL NEW TECHNOLOGIES, POOR KNOWLEDGE, POOR SUPPORT MOSTLY NEW TECHNOLOGIES (NOSQL, HADOOP, APPLIANCES, CLOUD CLUSTERS.. BIG AND LOTS OF DATA, QUICK PROCESSING, EXTERNAL DATA
  7. 7. Easy? Then why does it fail?
  8. 8. THE LONG DOG LEASH
  9. 9. InnovationTraditional Process Application Information
  10. 10. Does this work for information management?
  11. 11. InnovationTraditional Process Application InformationInformation
  12. 12. InnovationTraditional Process Application Information
  13. 13. Agenda Key Concepts The Long Dog Leash The Enterprise Data Hub Case: Innovate Case: Renovate the core Conclusions, takeaways
  14. 14. Definitions An enterprise data hub, also referred to as a data lake, is a new big data management model for big data that utilizes Hadoop as the central data repository.-- Whatis.com -- Enterprise data hubs are designed to address the challenge of data that is ballooning in volume, variety and velocity (3Vs). This term is largely associated with Cloudera and MapR. -- Whatis.com --
  15. 15. Vendor Enterprise Data Hub (EDH)
  16. 16. The Essence Enterprise Data HUB YOUR ENTIRE ORGANIZATION. NOT JUST A PART OF IT. ONES AND ZEROES. THE CENTRAL PART OF A WHEEL. WHERE SPOKES ARE INSERTED. THE CENTRAL PART OR AXLE END FROM WHICH BLADES RADIATE A CENTER AROUND WHICH OTHER THINGS REVOLVE. A DEVICE FOR CONNECTING COMPUTERS IN A NETWORK.
  17. 17. True EDH Architecture 0 Data Governance Data Quality Master Data Management Data Security API 0 ...Innovation DMZOpen DataCommodity AnalyticsOperational API Operational Systems Big Data Cluster BI Platform Cloud Storage New Repositories (Column, Graph, ) Data Integration Layer
  18. 18. Agenda Key Concepts The Long Dog Leash The Enterprise Data Hub Case: Innovate Case: Renovate the core Conclusions, takeaways
  19. 19. CASE 1: INNOVATIE – PROJECT BACON
  20. 20. Goals Count the number of commuters at stops or on buses Gather statistics on usage and duration Track actual user routes
  21. 21. Deliverables Tracker SDK for Android  Out of the box beacon detection and communication to backend  Integrates with existing applications. Demo application  Uses Tracker SDK  Commuter functionality: check for vacant seats on a line… and perhaps wait for the next bus
  22. 22. Technical Implementation
  23. 23. Technical Implementation
  24. 24. Results
  25. 25. Results Commuter/Device identifier Ping: I just saw a beacon with major 1 (type stop) and minor 5 (stop identifier)
  26. 26. Results
  27. 27. Route Optimization Transfer Descend
  28. 28. Route Optimization Commuter perspective Adherence to schedule
  29. 29. Agenda Key Concepts The Long Dog Leash The Enterprise Data Hub Case: Innovate Case: Renovate the core Conclusions, takeaways
  30. 30. CASE 2: RENOVATE
  31. 31. Renovation and Innovation Renovate Innovate BUDGET
  32. 32. B2B B2C
  33. 33. Data Migration
  34. 34. Data Migration Confidential
  35. 35. Data Migration Approach
  36. 36. Example Business Entity and High Level Requirements
  37. 37. Example Business Entity and High Level Requirements
  38. 38. Example Business Entity and High Level Requirements Data profiling Realistic goals Alternatives Decision log
  39. 39. Automation of quality standards CRUCIAL IN OBJECTIVE MEASUREMENT OF ITERATIVE MIGRATION ESSENTIAL TO INCORPORATE IN DATA GOVERNANCE AFTER PROJECT
  40. 40. Insights and Added Value Formal method for establishing data quality requirements Formal embedding in Data Governance of the organization  Automated periodical reports for management  Direct alerting (treshold bases or individually blocking) Business ownership for data determined (MDM) • Who are the correct stakeholders to include in projects Baseline for quality Estimated efforts for all kinds of scenarios (also ones that weren’t used)
  41. 41. Agenda Key Concepts The Long Dog Leash The Enterprise Data Hub Case: Innovate Case: Renovate the core Conclusions, takeaways
  42. 42. THE LONG DOG LEASH
  43. 43. InnovationTraditional Process Application Information
  44. 44. Pitfalls
  45. 45. Pitfalls
  46. 46. Pitfalls Innovation Maturity Gateway Innovation Maturity Gateway Innovation Maturity Gateway Innovation Maturity Gateway
  47. 47. Pitfalls Innovation Maturity Gateway Innovation Maturity Gateway Innovation Maturity Gateway Innovation Maturity Gateway Pitfalls
  48. 48. Pitfalls Innovation Maturity Gateway Innovation Maturity Gateway Innovation Maturity Gateway Innovation Maturity Gateway Pitfalls DQ MDM
  49. 49. TAKEAWAYS
  50. 50. The Long Dog Leash
  51. 51. Gateways and Maturity Cycle
  52. 52. It’s more than technologies
  53. 53. Dont build a Frankenstein monster
  54. 54. Play bullshit bingo, but don’t get hustled
  55. 55. The earth is not the center of our solar system
  56. 56. Recycle and Share Best Practices and Insights
  57. 57. … and tomorrow? Does renovation improve innovation? Does innovation challenge your traditional IT? INSIGHTS ON A STRATEGIC LEVEL THAT COULD/SHOULD BE SHARED? WON’T ISSUES IN THE TRADITIONAL ENVIRONMENT HAVE A SIMILAR EFFECT ON YOUR INNOVATION? Think two steps further down the line. NEW REQUIREMENTS FOR YOUR ESTABLISHED DATA? IS LACKING MATURITY IN ESTABLISHED SYSTEMS AN IMPEDIMENT FOR INNOVATION. HOW WILL EXISTING ISSUES IMPACT INNOVATION (FURTHER DOWN THE ROAD?) MAKE INFORMED DECISIONS ABOUT THE INNOVATIVE PROJECTS EVER REACHING THE RIGHT LEVEL OF MATURITY (PASS THE APPROPRIATE GATEWAYS)
  58. 58. Thank you!

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