Cataloging 1,600 Undocumented Tables in 3 Days for a Post-Acquisition Retail Integration
Post-acquisition retail integration depends on knowing what the acquired data estate actually contains before target design begins. For an Australian retailer, that visibility was missing. The acquired company ran across eight MySQL databases, the estate was undocumented, and no subject matter experts were available to explain table purpose, structure, or meaning. The target was Google BigQuery, but the integration could not proceed until the team had a documented source foundation. The engagement used Metadata Intelligence and Reverse Engineer accelerators directly against the undocumented sources. Instead of relying on interviews, the work read the systems themselves, extracted metadata, profiled the data, and recovered structure and meaning from the databases as they existed. In 3 business days, the team documented 1,600 tables and more than 24,000 columns, delivered more than 50 candidate KPIs within hours of the request, unblocked the BigQuery target architecture, and retained a permanent metadata asset for ongoing governance.
Accelerators
