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/

1. THE LONG DOG LEASH Information Management Challenges
in the Digital Enterprise

2. Agenda
Key Concepts
The Long Dog Leash
The Enterprise Data Hub
Case: Innovate
Case: Renovate the core
Conclusions, takeaways

3. BS Bingo!

4. A look in the mirror?
Operational Systems
MDM
Data Governance
Innovation
Decision Support
BIODS Analytics

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. 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. Easy? Then why does it fail?

8. THE LONG DOG LEASH

9. InnovationTraditional
Process
Application
Information

10. Does this work for information management?

11. InnovationTraditional
Process
Application
InformationInformation

12. InnovationTraditional
Process
Application
Information

13. Agenda
Key Concepts
The Long Dog Leash
The Enterprise Data Hub
Case: Innovate
Case: Renovate the core
Conclusions, takeaways

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. Vendor Enterprise Data Hub (EDH)

17. 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.

19. 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

20. Agenda
Key Concepts
The Long Dog Leash
The Enterprise Data Hub
Case: Innovate
Case: Renovate the core
Conclusions, takeaways

21. CASE 1: INNOVATIE – PROJECT BACON

22. Goals
Count the number of commuters at stops or on buses
Gather statistics on usage and duration
Track actual user routes

25. 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

26. Technical Implementation

27. Technical Implementation

28. Results

29. Results Commuter/Device identifier
Ping: I just saw a beacon with major 1
(type stop) and minor 5 (stop identifier)

30. Results

31. Route Optimization
Transfer Descend

32. Route Optimization
Commuter
perspective
Adherence
to schedule

33. Agenda
Key Concepts
The Long Dog Leash
The Enterprise Data Hub
Case: Innovate
Case: Renovate the core
Conclusions, takeaways

34. CASE 2: RENOVATE

35. Renovation and Innovation
Renovate Innovate
BUDGET

36. B2B B2C

37. Data Migration

38. Data Migration
Confidential

39. Data Migration Approach

40. Example Business Entity and High Level Requirements

41. Example Business Entity and High Level Requirements

42. Example Business Entity and High Level Requirements
Data profiling
Realistic goals
Alternatives
Decision log

43. Automation of
quality standards
CRUCIAL IN OBJECTIVE MEASUREMENT OF
ITERATIVE MIGRATION
ESSENTIAL TO INCORPORATE IN DATA GOVERNANCE
AFTER PROJECT

45. 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)

46. Agenda
Key Concepts
The Long Dog Leash
The Enterprise Data Hub
Case: Innovate
Case: Renovate the core
Conclusions, takeaways

47. THE LONG DOG LEASH

48. InnovationTraditional
Process
Application
Information

49. Pitfalls

50. Pitfalls

51. Pitfalls
Innovation Maturity
Gateway
Innovation Maturity
Gateway
Innovation Maturity
Gateway
Innovation Maturity
Gateway

52. Pitfalls
Innovation Maturity
Gateway
Innovation Maturity
Gateway
Innovation Maturity
Gateway
Innovation Maturity
Gateway
Pitfalls

53. Pitfalls
Innovation Maturity
Gateway
Innovation Maturity
Gateway
Innovation Maturity
Gateway
Innovation Maturity
Gateway
Pitfalls
DQ
MDM

54. TAKEAWAYS

55. The Long Dog Leash

56. Gateways and Maturity Cycle

57. It’s more than technologies

58. Dont build a Frankenstein monster

59. Play bullshit bingo, but don’t get hustled

60. The earth is not the center of our solar system

61. Recycle and Share Best Practices and Insights

62. … 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)

63. Thank you!