Identity Resolution at the MDM Summit
By Ram Anantha, Infoglide Director of Product Management
Master Data Management (MDM) is gaining a lot of traction as evidenced by the number of vendors (SAP, Siperian, D&B/Purisma, Oracle, Initiate Systems, and a host of others) and end customers (such as AIG, Grange Insurance, McGraw-Hill, Merck, Merrill Lynch, and Nationwide) who shared their experiences in deploying MDM solutions at the MDM Summit in New York City this week.
Identity Resolution clearly plays a key role in the MDM space. Many of the conference sessions highlighted how Identity Resolution has become a key ingredient within an overall MDM solution. Without the ability to accurately match and resolve various attributes of an entity or identity, MDM solutions can’t succeed.
Some of the key requirements for MDM Identity Resolution were in evidence at this week’s Summit:
- Strong, flexible customer data matching algorithms must provide a real-time view of customer entity – must handle anomalies, variations, tokenization, etc.
- Tunable algorithms must minimize false positives and false negatives.
- Solutions must permit correction of easy mistakes on the fly, such as values that have been typed in a wrong field (e.g., Social Security Number used for Driver License Number).
- Deployments must handle an unlimited number and size of data sources.
- Matching accuracy must be controlled using attribute weighting.
- Matching decisions should be as automated as much as possible.
- The matching process must be able to leverage external reference data sources.
For you MDM practitioners out there, let us know if this list agrees with your experiences.
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