What have you found to be the most common master data management (MDM) project pitfalls that companies get victimized by?
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Seriously, the answers to this question are many and long. But here’s a “few and short” list of the major culprits that can hold back an MDM project:
- Organizational politics and ownership debates.
- Lack of sanctioned decision-making processes.
- Sketchy understanding of the data in operational systems.
- Organizational politics and ownership debates.
- Inability to convince management to adequately fund MDM.
- Applying existing development methodologies to (new) MDM functionality.
- Organizational politics and ownership debates.
- Choosing an incumbent vendor’s MDM tool irrespective of its ability to meet requirements.
- Not sufficiently qualifying members of the MDM development team.
- Organizational politics and ownership debates.
- Lack of data governance processes to support business-developed data definitions and data policies.
Oh, and did I mention organizational politics? I did? OK, good.
This was first published in November 2010
Data Management Strategies for the CIO