Your governance policies exist. Your data doesn't know about them.
Actian embeds ownership, lineage, and policy enforcement directly into every data asset at the point of creation, so governance travels with the data across every system, every team, and every audit.
One infrastructure operator. 90% of catalog management automated. Zero manual lineage reconstruction for audits.
of catalog build automated
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Months to full governance
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Active self-service users
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Autostrade per l'Italia automated 90% of their catalog build in 6 months and gave 200+ business analysts self-serve access across a 3,000-kilometer transit network.
Autostrade per l’Italia is one of Europe’s leading toll motorway concessionaires and infrastructure networks. €4.8B in annual revenue. 9,000 employees. A mission-critical transit network spanning 3,000 kilometers across Italy.
Their governance problem was specific: fragmented vertical systems blocked leadership from calculating real-time KPIs across business units. Manual traffic and maintenance documentation introduced direct operational liability and safety risk. Cloud migration had pulled in IBM DB2, Salesforce, SAP, and physical road sensors simultaneously, creating unmanageable system interdependencies. And IT was manually tracing lineage from raw ingestion through to final reports every time an audit required it.
The challenge
- Fragmented vertical systems blocked automated, real-time KPI calculation across business units.
- Manual traffic and maintenance documentation introduced high-liability operational risk.
- Cloud migration across IBM DB2, Salesforce, SAP, and physical road sensors created system interdependencies nobody could map.
- IT manually reconstructed data lineage from ingestion to reporting for every compliance audit.
What Actian did
Established a single source of truth serving as the central gateway to curate physical metadata, lineage, and sensitivity metrics across the full data lifecycle
- Deployed automated scanners to continuously reconstruct lineage from ingestion layers (Amazon S3, Redshift) through data modeling (Erwin) down to dashboards (Tibco Spotfire), eliminating manual audit reconstruction.
- Implemented a customizable, flexible metamodel enabling data owners to embed privacy levels, data quality flags, and business glossary definitions directly into the asset layer.
What Autostrade achieved
90% of catalog build and documentation metadata harvesting is fully automated, freeing engineering and developer teams from manual refresh cycles entirely.
6 months to govern fragmented heritage architectures and inherited subsidiary data estates, drastically reducing manual audit preparation time.
200+ active self-service business analyst users, bridging the gap between IT and operational business functions.
Built for governance that keeps pace with your data
Start catalog-first to discover gaps, or contract-first to define standards before data moves. Either way, metadata, ownership, and trust signals get structurally embedded before anything reaches a downstream consumer. The entry point is yours to choose.
Governance embedded in Smart Data Products means rules, lineage, and trust signals enforce themselves across operational systems and AI environments throughout the full data lifecycle. Compliance travels with the asset, from creation through consumption.
Health scores and quality signals flow in automatically from Data Quality and Observability. Governance teams see which data is fit for AI use before it reaches a model. Audit preparation shifts from manual reconstruction to a catalog query.
Recognize any of these?
If your team is dealing with this… |
Actian addresses it with… |
|---|---|
IT manually reconstructing lineage for every compliance audit |
Automated scanners continuously reconstruct lineage from ingestion to dashboard, audit-ready at any point |
Governance policies defined centrally but enforced inconsistently |
Smart Data Products embed rules and trust signals at the asset level, enforced at runtime |
New data sources added faster than governance can cover them |
Flexible metamodel adapts to any topology, embedding governance at the point of onboarding |
Business analysts blocked from data they need, waiting on IT |
Self-service discovery with embedded ownership and context, available at the point of search |
Where data governance connects to the bigger picture
Ready to make governance part of your data, from day one?
Talk to a solutions engineer about your compliance environment. We’ll show you how Autostrade automated 90% of their catalog management and where the same approach applies to your stack.
Book a Solutions Call
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