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What Data Scientists Need to Know about Master Data Management (MDM)  


A lack of Master Data Management can spell disaster for the accuracy and predictability of any models or analytics built on poorly mastered data, yet many in the data science world are unaware of the role MDM plays in their daily jobs.  This presentation provides an overview of the discipline of MDM and the technologies supporting it and provides some recommendations on how data scientists can leverage MDM tactics to drive improved business outcomes.

Malcolm Hawker
Malcolm Hawker

Head of Data Strategy at Profisee

Malcolm Hawker is a thought leader in the fields of Master Data Management (MDM) and Data Governance and as a former Gartner analyst, has consulted to some of the largest businesses in the world on their enterprise information management strategies. Malcolm is a frequent public speaker on data and analytics best practices, and he cherish the opportunity to share practical and actionable insights on how companies can achieve their strategic imperatives by improving their approach to data management.

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