Data Discussions: Common Mistakes in Implementing Master Data Management (MDM)

Join Lukas and Tim from CluedIn as they delve into the common challenges and pitfalls organizations face when implementing Master Data Management (MDM) initiatives. With over 30 projects under his belt, Lukas shares invaluable insights into why a phased, incremental approach to MDM is crucial for success, and how attempting a 'big bang' deployment can hinder progress and flexibility.
In this discussion, we explore:
- The drawbacks of 'big bang' deployments and the benefits of starting small.
- The importance of delivering incremental value to the business through phased integrations.
- How modern MDM technologies offer the adaptability needed to evolve with your business needs.
- Engaging business users in the MDM process without requiring them to have deep technical knowledge.
- The critical role of flexibility in adapting to changes, such as acquisitions, and avoiding the creation of new data silos.
- The synergy between culture, process, and technology in achieving MDM success.
Lukas & TIm also highlight how CluedIn's approach to MDM helps customers navigate these challenges, emphasizing the need for easy-to-use interfaces, undo capabilities, and sandbox features that encourage safe exploration and experimentation with data.
Whether you're embarking on your first MDM project or looking to improve your existing systems, this video is packed with expert advice and strategies to guide you towards a successful master data management (MDM) implementation.
#MDM #DataManagement #DataIntegration #BusinessStrategy #TechnologyInsights
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