Intelligence · Module
Data Catalog & Governance
Know what data you hold, who owns it, where personal data sits and who used it
Data Catalog & Governance is planned to inventory every data asset automatically, keep a business glossary and owners, discover sensitive data and enforce access and purpose policies across Intelligence. It produces a personal data map per person for access and erasure requests.
Answering the auditor's questions
When a regulator, auditor or customer asks where personal data sits and who used it, most companies start a spreadsheet. Data Catalog & Governance, planned for W4 and requiring Data Fabric, is designed to answer from the system itself.
Inventory without manual entry
The catalog harvests assets automatically: app objects and fields, read models, datasets, metrics, dashboards, Knowledge collections, feature sets and models. Each asset has owners and stewards and can carry a certification badge. AI drafts documentation for owner review. A business glossary holds terms, definitions, owners and approval, linked to the metrics and fields that implement them.
Sensitive data and the personal data map
Sensitive-data discovery scans samples for personal, sensitive personal, financial and health-adjacent fields and suggests classifications for a steward to confirm. Lowering a classification is never automated. The personal data map shows where one person's data is held, including derived stores such as embeddings and datasets, as input to access and erasure requests. A retention view per asset shows how erasure would propagate.
Policies that actually enforce
Access policies define column masking, row filters and purpose-based access. They are enforced in BI Studio, Data Fabric, Knowledge and the Data Science Workbench, not only documented. Access requests carry a purpose, approval, expiry and automatic revocation. Consent-purpose tagging checks purpose limitation whenever a dataset or metric is used for a new purpose (DPDP application to be verified with counsel); the policy engine decides, and AI only explains the block.
Lineage and usage
An end-to-end lineage graph is assembled from Data Fabric, BI Studio and Pack manifests. Usage analytics show who queries which assets, which assets are unused and which policy violations were blocked. Export of lineage and metadata in open formats is planned for W5.
Features
What Data Catalog & Governance includes
Automatic asset inventory
Objects, fields, read models, datasets, metrics, dashboards, collections, feature sets and models.
Business glossary
Terms, definitions, owners and approval, linked to metrics and fields.
Owners, stewards and certification
Accountability and certification badges per asset.
Sensitive-data discovery
Classification suggestions for personal, financial and health-adjacent fields, confirmed by a steward.
End-to-end lineage graph
Built from Data Fabric, BI Studio and Pack manifests.
AI auto-documentation
Draft asset descriptions for owner review.
Personal data map
Where a person's data lives, including derived stores, for access and erasure requests.
Enforced access policies
Column masking, row filters and purpose-based access across Intelligence modules.
Access requests
Purpose, approval, expiry and automatic revocation.
Consent-purpose checks
Purpose-limitation checks when data is used for a new purpose.
Retention and erasure view
Retention policy per asset and the propagation map for erasure.
Usage analytics
Who queries what, unused assets and blocked policy violations.
Workflow
Classify, govern, prove
- 1
Assets are harvested automatically
- 2
Sensitive fields are suggested and confirmed by a steward
- 3
Owners and glossary terms are linked
- 4
Access and purpose policies are set and enforced at query time
- 5
Access requests are approved with expiry
- 6
Lineage, usage and erasure evidence are exported for audits
AI
AI skills and Digital Employees
Sensitive-data discovery
Suggests classifications; lowering a classification is never automated.
Auto-documentation
Drafts asset descriptions for owners.
Glossary linking
Proposes links between terms, metrics and fields.
Purpose-limitation explanation
Explains why a new use was blocked; the policy engine decides.
Digital Employees that use this module
They act through the same governed Actions as people; risky steps wait for approval.
Frequently asked questions
Does the catalog only document policies?
No. Masking, row filters and purpose policies are planned to be enforced in BI Studio, Data Fabric, Knowledge and the Data Science Workbench.
Does it make us DPDP compliant?
It provides tools such as purpose tags, personal data maps and erasure evidence. Compliance depends on your processes; verify with counsel.
What does it require?
Data Fabric. It is planned for W4.
See Data Catalog & Governance in your workflow
Tell us about your team and the outcomes you want. We will walk you through the apps, the Digital Employees and the plan for your industry.