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What is MDM

MDM (Master Data Management) focuses on keeping an organization's core data (like customer, product, or supplier information) consistent, accurate, and up to date across multiple systems and teams.

How It Works

MDM identifies "master records" or "golden records" for critical data entities. It collects data from various sources, then cleanses, deduplicates, and merges records into a single, trusted view. This unified view gets shared throughout the organization, ensuring that every system refers to the same version of core data. MDM tools often use matching rules, either rule-based or powered by machine learning, to detect duplicates or near-duplicates.

Technical Details

An MDM system typically includes data integration (pulling in records from different sources), data quality management (cleaning and standardizing), and data governance (defining ownership and policies). Some solutions store these golden records in a central repository, while others use a "hub-and-spoke" or "virtual" approach. Many MDM platforms also offer workflows for approving merges and corrections, plus robust auditing features.

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Best Practices

  • Clearly define data ownership and stewardship roles within the organization.
  • Use standardized data formats and validation rules at the point of entry.
  • Continuously update matching rules to account for real-world variations in names, addresses, etc.
  • Integrate MDM with existing business processes so updates flow naturally.

Common Pitfalls

  • Viewing MDM as a one-time project rather than an ongoing program.
  • Failing to involve all relevant stakeholders, leading to partial or conflicting master records.
  • Ignoring data governance and change management, which leads to inconsistent adoption.
  • Underestimating the complexity of deduplication across multiple data sources.

Advanced Tips

  • Employ machine learning to improve match accuracy on names, addresses, and fuzzy fields.
  • Use a "survivorship" logic for merges, defining which source has priority for specific attributes (e.g., phone numbers vs. addresses).
  • Consider real-time MDM for scenarios requiring immediate updates or checks (e.g., e-commerce sign-ups).
  • Enforce data lineage tracking to see exactly where each piece of master data originated.
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