Published: 19 July 2023
Funding and eventual success of MDM programs rely on measuring and communicating the value of MDM and its role in achieving business outcomes. Data and analytics leaders must take a structured approach to quantify and explain how improvements in master data enable key business objectives.
Many data and analytics leaders share a common misperception that the business impacts of master data either need not or cannot be measured.
Measurement of business value is often overlooked in favor of simpler, lower-level data quality or operational metrics, where they exist at all.
Data and analytics leaders who fail to make a connection between improvements in master data quality and business outcomes are unable to communicate and prove the value of MDM.
To quantify and communicate the business value of MDM, data and analytics leaders must:
Anchor MDM strategy around a prioritized list of business outcomes, ideally outlined
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