What are the potential risks associated with poor collaboration in data modeling projects?
- Improved data model quality
- Incomplete and inaccurate data models
- Increased stakeholder satisfaction
- Reduced project delays
Poor collaboration in data modeling projects can lead to incomplete and inaccurate data models, posing risks such as misinterpretation of requirements, data inconsistencies, and the need for extensive revisions, which can impact project timelines and stakeholder satisfaction.
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