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Slides from the Live Webcast on May 15, 2012
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In this episode of The Briefing Room, veteran Analyst Shawn Rogers of Enterprise Management Associates explains what is needed to take advantage from today's hybrid data ecosystem. He'll be briefed by Bob Eve of Composite Software who will explain how innovative enterprises are using data virtualization to gain insight across these worlds and doing so with greater agility and lower costs.
For more information visit: http://www.insideanalysis.com
Watch us on YouTube: http://www.youtube.com/playlist?list=PL5EE76E2EEEC8CF9E
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Læs mere her: bit.ly/softwaredagservices4
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1. MDM 2009
Your Text here Your Text here
Einat Shimoni
EVP & Senior Analyst
Enterprise Applications,
Analytics & KM Strategies
www.einatstki.blogspot.com
Einat Shimoni’s work Copyright 2009 @STKI Do not remove source or attribution from any graphic or portion of graphic 1
2. MDM Definition
“The set of disciplines and methods to ensure the
currency, meaning and quality of a company’s reference
data within and across subject areas & systems.
MDM ensures that your systems leverage and reuse
common, accurate business data.”
Source: http://www.information-management.com
Sound
familiar?
Weren’t CRM/ERP/EDW/SOA projects
supposed to handle this…?
Einat Shimoni’s work Copyright 2009 @STKI Do not remove source or attribution from any graphic or portion of graphic 2
3. How did we try to solve this?
Homegrown MDM solutions
CRM as MDM for customer data
Operational system as “master data” store
DW acts as MDM (data model and type of data
stored is not usually right for this)
Einat Shimoni’s work Copyright 2009 @STKI Do not remove source or attribution from any graphic or portion of graphic 3
4. The business problem
How is a customer defined across all business
units and verticals?
How can we shorten time to realize benefits
from M&As?
Is there a standard hierarchy of products or
product catalog?
Einat Shimoni’s work Copyright 2009 @STKI Do not remove source or attribution from any graphic or portion of graphic 4
5. The Technological Problem
Legacy data sets are modeled with vertical
applications in mind, which leads to the duplication
of the same information across multiple data sets
Creating one “single version of the truth” (source
of information) isn’t enough, you have to control
the way end users extract and use it
Organizations with vertically structured IT
organizations may not be "politically" ready for the
move toward a centralized representation of
customer information
Einat Shimoni’s work Copyright 2009 @STKI Do not remove source or attribution from any graphic or portion of graphic 5
6. Another MDM definition
Master data refers to the data elements that describe the core business
entities (customer, product, employee, organization, location).
The management of master data is the practice of defining, standardizing,
and maintaining the data elements for these core business entities. In
other words, MDM is the management of the organization’s data assets.
Any successful MDM implementation needs a set of disciplines, policies,
procedures,Text here
Your methods, and infrastructure, along with Your Text here who have
individuals
authority over, are accountable for, and administer the data.
Source: Cutter Consortium
Einat Shimoni’s work Copyright 2009 @STKI Do not remove source or attribution from any graphic or portion of graphic 6
7. IT and Business services
What’s in the product?
The actual MDM Hub
Specific data models
Data Integration tools
Data Quality tools
Enrichment
Data Governance
Source: Adastra
MDM is a strategic business (and sometime political) toolset
for data ownership and governance
Einat Shimoni’s work Copyright 2009 @STKI Do not remove source or attribution from any graphic or portion of graphic 7
8. Many terms…
Decision rights and accountability for data
Your Text here Your Text here
Source: The MDM Institute
Einat Shimoni’s work Copyright 2009 @STKI Do not remove source or attribution from any graphic or portion of graphic 8
9. Benefits of using MDM
One common view of key business data
Leverages existing infrastructure
Increasing ROI from application projects
Enforcing “Data Policies”
Reduces duplicate data entry
Cleaner information
Ability to execute processes faster (e.g –
marketing plans)
Cases in which MDM is most important:
M&A faster time to benefit
Compliance reporting
Einat Shimoni’s work Copyright 2009 @STKI Do not remove source or attribution from any graphic or portion of graphic 9
10. MDM Hub “Styles”
Your Text here Your Text here
Source: MDM Institute
Einat Shimoni’s work Copyright 2009 @STKI Do not remove source or attribution from any graphic or portion of graphic 10
11. MDM Maturity model
Your Text here Your Text here
Source: baseline consulting, TDWI
Einat Shimoni’s work Copyright 2009 @STKI Do not remove source or attribution from any graphic or portion of graphic 11
12. MDM is a “SOA” way to look at data
SOA Application Platform
SOA Information Platform
Business Data services
SOA Infrastructure Platform
Einat Shimoni’s work Copyright 2009 @STKI Do not remove source or attribution from any graphic or portion of graphic 12
13. Trends in MDM market
Expected to exceed $3B by 2012 (MDM Institute)
Move to vertical/horizontal solutions: EMPI, CDI,
PIM, Financial reporting
MDM “silos”/single entity (1st step) as opposed to
enterprise MDM (2nd step for very large enterprises)
Wanted: MDM and Data governance specialists
Einat Shimoni’s work Copyright 2009 @STKI Do not remove source or attribution from any graphic or portion of graphic 13
14. STKI CIO Survey 2009: Data
Mng.
Are you planning to enter MDM? Trends
60%
51%
50%
40%
36%
35%
27%
26%
30%
2008
2009
20%
11%
10%
0%
Not familiar with term No plans Plans to enter MDM
Einat Shimoni’s work Copyright 2009 @STKI Do not remove source or attribution from any graphic or portion of graphic 14
15. Data
MDM Reality in Israel Mng.
Trends
Most Israeli organizations don’t have a business
entity that is in charge of Data
Organizations like the MDM model and concept
Some are considering using their DW as MDM
(some are starting to)… but wondering about
the data model
Drivers:
Compliance and regulatory reporting
Economies of scale for M&As
Cross/Up-sell
Legacy apps
Einat Shimoni’s work Copyright 2009 @STKI Do not remove source or attribution from any graphic or portion of graphic 15
16. Data
Recommendations Mng.
Trends
Establish a global design but take a low-risk
phased implementation approach
Data Governance program is a MUST
Be aware of the politics involved (executive
sponsorship is helpful)
Who are the data stewards? (they will be
managing the data)
Top-down approach, start with the business
Think of it as a “Way of life”, not a project
Avoid heavy customizations, products are
evolving quickly
Einat Shimoni’s work Copyright 2009 @STKI Do not remove source or attribution from any graphic or portion of graphic 16
17. For more ideas and research go to:
www.einatstki.blogspot.com
18. Thank you!
Einat Shimoni
EVP & Senior Analyst
Enterprise Applications,
Analytics & KM Strategies
Einat Shimoni’s work Copyright 2009 @STKI Do not remove source or attribution from any graphic or portion of graphic 18