Nexus Accelerator ยท Data Governance

Find it. Trust it. Use it.

We put your most important datasets under working governance in the catalog your platform provides: an owner for each one, certification of the trusted version, labels on sensitive data, access by role, automated quality checks and visible lineage. Business users can find what they need and request access without opening an IT ticket.

Who it's for

A strong fit if you want

  • One certified version of every core dataset.
  • Access by role, with a clear view of who sees what.
  • Sensitive data labeled and protected, ready for AI tools.
  • A clear plan for your next governance tool.
What you get

Running in production

Included

  • A named owner and plain-language description for up to 25 core datasets
  • Domains and certified datasets in your data catalog
  • Sensitivity labels on regulated and confidential data
  • Access by role instead of by individual, with a review of current grants
  • Automated quality checks that alert the dataset owner
  • Lineage from source to report, and a simple access-request process

What success looks like

  1. A business user finds a certified dataset, sees its owner and requests access without an IT ticket.
  2. Access runs by role, and sensitive data is protected.
  3. Quality issues alert the dataset owner automatically.
Week by week

Four weeks, start to finish

Every week ends with a short review of progress.

  1. Step 1: Week 1: Inventory and owners

    List the datasets in scope, agree owners and descriptions, and record who has access today.

  2. Step 2: Week 2: Catalog and endorsement

    Set up domains, endorse the trusted versions and retire or label the duplicates.

  3. Step 3: Week 3: Access and labels

    Move access to roles, apply sensitivity labels and set up the access-request flow.

  4. Step 4: Week 4: Quality checks and handover

    Switch on quality checks and owner alerts, walk through the results with a business user, and hand over.

Start smaller

A first phase

Ten datasets in one domain, with owners, endorsement, labels and access by role.

The same approach on a narrower scope, ready to grow into the full accelerator.

Part of our Data Governance service
Examples

What this looks like

Example scenarios from the industries we know best.

Healthcare

Patient and staffing datasets carry sensitivity labels, access follows job roles, and an analyst requests a certified dataset without emailing IT.

Utilities

Asset and outage datasets have named owners and visible lineage, so a regulator's question about a reported figure can be traced to its source.

Talk to us about Governed Data

Tell us which datasets cause the most confusion, and which catalog or governance tools you use today.