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Self-Service Data Enrichment in Governed Data Marts (with Audience Q&A)

June 2, 2022

Prerequisite: None

Mahadevan Muthusamy

Lead Data Architect / Engineer

MassMutual

This session will include a moderated Q&A featuring questions from the live audience.

Traditional data marts are often (mis)labeled as “self-service” because they facilitate ad hoc queries. However, what happens when the business needs to add new data sources, create new attributes, or change a classification scheme? Traditionally, this would require a multiple-sprint work effort by an ETL team to change the data model, update the data pipeline, update the BI metadata layer, and refresh the ad hoc query environment. Due to these time delays and a lack of developer resources, users often do it themselves in Excel. The true meaning and intention of self-service is lost. Devan Muthusamy will show you how Mass Mutual came up with an innovative solution to address this challenge.

Mass Mutual developed an integrated approach that allows end users to enrich data, define new attributes, and even add new data sources directly to existing data marts—all instantly reflected in the BI environment. The result is real self-service. New pipelines are not required, and the entire process is visible and governed. For example, an investment manager is able to reclassify a data asset instantly using an update business rule—a process that would have taken several weeks in the past. Mass Mutual is now able to achieve SLAs as low as 1–4 hours.

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