This document discusses an agile enterprise data model (EDM) and data management solution. It begins by defining an EDM and explaining why they are important for issues like integrating data across systems and supporting business processes. It then describes problems with traditional top-down approaches. The solution proposed uses an agile hybrid approach to quickly develop an initial EDM using industry models. It allows rolling out the solution modularly and minimizing disruption. Customers are provided tailored training and support to link the data model to business strategies.

1. Enterprise Data Model &
Data Management
Agile Solution
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2. EDM & Data Management Agile Solution
1. What is Enterprise Data Model (EDM)
2. Why EDM
3. Problems of Traditional Top-down Data Management or
Data Governance Approach
4. Our Agile EDM & Data Management Solution
5. Why A.I. Consultancy Limited
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Pacific Rim Telecomm Datacomm Ltd

3. 1. What is Enterprise Data Model (EDM)
A holistic, enterprise-level,
implementation independent conceptual or
logical data model providing a common
consistent view of data across the
enterprise.
Source: DAMA DABOK V2 https://dama.org/
DAMA DABOK V2
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Put it simple:
An integrated business view of enterprise’s
information.

4. Risk
Management
Fund
Management
Asset Value
Management
Acquisition
&
Development
Property
Sales
Lease
Management
Tenant
Services
Facilities
Management
Customer
Relationship
Management
Strategy & Governance
Account &
Finance
Services
Procurement
Management
Human
Resources
Management
IT Services
Management
Operation
Supporting Services
Conceptual Model Subject Area Model
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1. What is Enterprise Data Model (EDM)

5. 2. Why EDM
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DAMA BOK
Framework
Knowledge Area

6. 2. Why EDM
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Where does Data
Modelling fit?
The first draft of an enterprise data
model is a must-have starting-point for
any Data Governance/Management
initiatives.

7. 2. Why EDM
Issues of over-looking EDM and data governance practice:
➢ Data from different systems/sources cannot be integrated to support end-to-end
business processes and management information requirements due to bottom up point
solutions.
➢ Inconsistent business jargons and information/data definition restricting BPM (business
process management) and BI (business intelligence) initiatives.
➢ Inconsistent data definition and duplicated data modeling effort result in project delay
and cost over-run.
➢ Rigid application and data architecture cannot address fast changing business
requirements.
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8. 2. Why EDM
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Lease calculation
rules and formula. Address
Asset
Building
Building FloorBuilding Space
Building Zone
Charge Type
Demand Note
Engineer Skills
External Engineer
Facility Asset
Facility Parts
HVAC Equipment
Incident
Internal Engineer
Lease Charge
Maintenance Contract
Maintenance Engineer
Other Equipment
Parts
Payment Recipt
Property Asset
Room
Skill to Fix Parts
Skills
Supplier
Tenancy Agreement
Turnover Rent Scheme
Unit
Unit Type
Works Order
Works Order Parts
have
have
have
Have
have
fix
serve /
assign to
require
require
Facility Management
Asset Management
Lease Management
• The same entity
appears in different
Subject Areas or
Systems.
• Different entities in
different Subject
Areas are related.
• Their definitions,
formats and rules
have to be
standardized in
order to support
integration and
derive meaningful
analytics for valid
business decisions.

9. 2. Why EDM
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Rigid data structure and data disparity will restrict IT’s agility, so not only
your hardware and software infrastructure, your database design must be
scalable too, i.e. flexible enough to address the next 5 to 10 years
requirements!

10. 2. Why EDM
Benefits of EDM and data governance:
➢ Enterprise wide data inter-operability
➢ IT projects are on-time and within budget
➢ Faster and more efficient BPM and BI results
➢ IT agility enable business agility
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11. 3. Problems of Traditional Top-down Data Management /
Data Governance Approach
• It takes long time, even years, to harvest early results.
• It demands enormous effort to develop a full EDM internally!
• It requires scarce data management and architectural talent which cannot be
developed internally in short time-frame.
• It is difficult for internal IT to keep abreast of all latest technology advance (e.g.
IoT and big data) and understand their impact on business strategies, data
infrastructure, standard and data model.
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12. 4. Our Agile EDM & Data Governance Solution
• Use Agile Method and a hybrid top-down & bottom-up approach to achieve data
management and governance quick-win.
• Off-the-shelf industry specific EDM and world No. 1 data governance solution
(erwin™) allow delivering 1st draft of your own EDM design in weeks.
• Tailored training program to get your staff up and running in short time-frame.
• Low start-up cost (can be rolled out module by module according to customer’s
specific situations, i.e. by individual Subject Area in the EDM)
• Minimal impact on existing IT plan (start from current high-value business critical
projects, no need to re-prioritize your project portfolio).
• Provide Mapping Report for IT to link data model design with business strategies
such that IT is able to engage business users in critical IT decisions, rather than IT
bears the business risk alone.
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13. 4. Our Agile EDM & Data Governance Solution
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Can your data structure design represents customers both as
individual and group?

14. 4. Our Agile EDM & Data Governance Solution
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Can your data structure design
support the management of sales
pipeline (i.e. customer life cycle)?

15. 4. Our Agile EDM & Data Governance Solution
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Can your data structure design
support the seamless integration
with Cobie Spreadsheet?

16. 4. Our Agile EDM & Data Governance Solution
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Can your data structure
design support future
enterprise outsourcing
business strategy?
Outsourcing FM function means much more than just able to issue a work-order to external service provider!!

17. 4. Our Agile EDM & Data Governance Solution
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The EDM helps to bring those critical business and technical
database design issues upfront, of which your business users
might not be able to voice out in advance.
People don’t know what they want
until you show it to them. Steve Jobs

18. 4. Our Agile EDM & Data Governance Solution
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© 2018 erwin, Inc. All rights reserved. 1

19. 4. Our Agile EDM & Data Governance Solution
Use case 1: Pilot data management from a specific subject area or system
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1. Use erwin DM
Reverse Engineer
to capture a model
of existing system
2. Compare with
Industry EDM
3. Work with users to
resolve the difference
and decide the to-be
data model
4. Plan for
implementation

20. 4. Our Agile EDM & Data Governance Solution
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Use case 2: New IT Project
1. Extract
corresponding
Subject Area Model
from the Industry
EDM as the draft of
to be model
2. Discuss with users
to refine and
confirm the to-be
system data model
3. Include the confirmed
to-be data model as
requirements in RFP
4. Or as requirement
specification for
inhouse or
external developer

21. 5. Why A.I. Consultancy Limited
• We have extensive business experience and knowledge in gaming,
real estate, retail, and hospitality industry.
• We have in-depth knowledge in data modeling, data architecture
and governance, also in Agile approach, IT projects and portfolio
management.
• We have practiced traditional top-down architecture approach for
many years and learned the lesson.
• It’s not easy for you to find partners who have both industry
business knowledge and technical expertise at the same time.
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22. Want to know more?
A.I. Consultancy Limited (Macau)
www.architectedinfo.com
itmcimn@netvigator.com
853-63192039
Pacific Rim Telecomm Datacomm Limited (Hong Kong)
www.pr-data.com
rico.Chiang@pr-data.com
852-90823965
A.I. Consultancy Limited
Pacific Rim Telecomm Datacomm Ltd