Many enterprises adopt Google Cloud Dataplex (Knowledge Catalog) as a metadata repository — and stop there. The platform catalogs assets, but without a holistic enterprise strategy it never becomes the strategic capability it was designed to be.
The Assessment: Where Are You Today?
Every governance engagement starts with an honest current-state maturity assessment. We evaluate:
- Metadata coverage and quality — are critical BigQuery datasets, pipelines, and reports actually cataloged, owned, and classified?
- Business glossary adoption — do business terms exist, are they linked to technical assets, and do teams trust them?
- Governance operating model — who owns data domains, who stewards quality, and how are decisions made and enforced?
- Consumption patterns — can analysts and data scientists actually discover and understand the data they need?
Building the Enterprise Framework
From the assessment, we design the target state across four pillars:
- Enterprise glossary and semantic layer — a single business vocabulary linked to physical assets in Dataplex, powering consistent metrics across BigQuery, Looker, and Tableau.
- Governance and operating model — domain ownership, stewardship roles, policy-as-code with Dataplex data quality and lineage, and clear escalation paths.
- Future-state architecture — a capability roadmap that sequences catalog, quality, lineage, and access governance improvements by business value.
- AI readiness — governed, well-described, high-quality data is the prerequisite for reliable AI. We assess your readiness for AI and agentic initiatives and align the governance roadmap to your GCP ecosystem.
The Outcome
Enterprises that treat governance as a product — not a project — unlock faster analytics delivery, trusted self-service discovery, regulatory confidence, and a foundation that AI agents can safely reason over. StarNET delivers the assessment, the roadmap, and the hands-on expertise to get you there.