Data Product Health & Governance
Where it fits first
Risk-data products such as interest-rate risk, liquidity and stress-testing feeds.
Pricing, claims and reserving data that must be evidenced every reporting cycle.
Operational data products such as telemetry, warranty and supply chain.
The problem
What "healthy" means
Built for
Data product health FAQ
It’s a measure of whether a data product can be relied on: whether its data meets its quality rules, it is certified, someone owns it, its lineage is known, and people actually use it. Alex scores those five dimensions from catalog metadata and places each product in a health band.
Data quality tools profile values. This Solution scores the data product as a whole: quality plus compliance, ownership, lineage and adoption. It also tells you which gap is holding each product back and who should fix it.
Most scorecards are rebuilt manually each quarter. Alex scores from live metadata, explains every gap, routes each fix to an owner, and re-runs on the same scope whenever you need it.
Yes. Start with one domain or one criticality tier. Alex reports what it can’t score rather than hiding it, so the first run shows you where the gaps are.
No. Nothing is written back until a person confirms it. Then the owners are notified.
No. It’s a data product health assessment built from catalog metadata. It can support an accountability or assurance case, but it doesn’t replace one.
A registered data product inventory, the assets behind each product, and ownership, domain and criticality recorded. Quality rules and results, upstream and downstream lineage, and usage telemetry complete the picture.
Yes. Alex connects across the platforms you already run, including Snowflake, Databricks, SAP and on-premises systems, and scores whatever is registered as a data product in Alex. There’s no migration involved.
A 30-minute demo on a sample portfolio that matches your industry. From there, we can scope a first domain with you.
