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ETS details statewide data-tool criteria, seeks vendor for MDM, governance and lakehouse
Summary
Enterprise Technology Services presented selection criteria for a statewide master data management system, data-governance tools and a shared lakehouse; staff emphasized explainable AI matching, data lineage and federated stewardship and said FY‑26 funding is targeted for tool procurement. Meeting minutes were approved and the task force plans follow-up before the March 16 meeting.
Enterprise Technology Services (ETS) staff told the Data & AI Task Force that the office is narrowing requirements and vendors for three statewide platforms — a master data management (MDM) system, a data-governance/catalog tool and a shared lakehouse — and expects to use FY‑26 funding to begin procurement.
The ETS representative outlined core selection criteria, saying the MDM must support advanced AI/ML matching to reduce manual record review while providing explainability and traceability of matches so users can see "why it's matching" and the probability of a match. The office emphasized geospatial functionality to assess impacts to buildings and households in emergencies, multi-domain mastering (residents, structures, bridges), and real-time API connectivity to avoid loading delays.
Why it matters: the office said a unified platform aims…
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