It's not one or the other, or, one vs the other... MDM and DG are better together. And for good reasons.
Join Nicola Askham, The Data Governance Coach, as she discusses the relationship between Data Governance (DG) and MDM, how they benefit each other, and how to get maximum value from both.
6. What is Master Data Management?
Master data is a single source of data that is critical for a
business to operate and designed to be used across
processes and systems. For example, customer, product,
employees, suppliers etc.
Master data management refers to the processes that
control/manage master data values to ensure
consistent, shared, contextual use.
A single version of the truth
16. Where To Start
Identify data domains in scope
Agree who will support DG and MDM
Identify Data Owners for each data domain
Definitions and Data Quality rules
17. How Much Data Governance When?
• Design Data Governance Framework
• Identify Data OwnersBefore
• Agree definitions
• Agree data quality rules
During
• Data Quality Issue resolution
• Amendments to definitions
• Extend Data Governance Framework
After
18. Free DG for MDM Checklist
www.nicolaaskham.com/free-
data-governance-checklist
Talk through 3 different scenarios
Quality not easily sustainable
Talk through 3 different scenarios
Easy to maintain quality going forward – i.e. It doesn’t start to deteriorate as soon and MDM implementation project finishes
UAT easier
No failed migrations/canned MDM programmes
Are they really better together?
Best time to plant an oak tree 200 years ago
Second best time = today
Same is true of DG for MDM
Project Team working with DG/Master Data Team in conjunction.
Project Team working with DG/Master Data Team in conjunction.
Mention concept of minimal DG just do enough to make the MDM implementation successful – you can extend the Data Governance Framework later – don’t try to do everything at once
The things you need to consider and steps you need to take when implementing Data Governance as part of your MDM project: