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Data governance and quality

Who is accountable for what, under which rules, with measured quality: the governance that makes your figures reliable, from a single team to the whole group

In brief

Indicative duration
6 to 12 weeks to launch, then ongoing support
Format
Fixed price, then time and materials
Method step
Step 1, Build

Who it is for

  • Companies where figures contradict each other from one report to the next
  • Multi-entity groups that want shared definitions
  • Data teams fixing the same errors every month

The problem we solve

Nobody knows who decides what an active customer is. Anomalies are found in reports and fixed in Excel, and trust erodes

How we work

  1. Priority domains and roles: data owners, data stewards, data office
  2. Business rules and data policies, approved by the business
  3. Quality rules measured on critical data, with thresholds and alerts
  4. A light governance committee and follow-up rituals

What you get

  • A roles and responsibilities matrix
  • Policies and business rules per domain
  • Automated quality rules
  • A quality dashboard and trust indicators
  • A process to fix errors at the source

Tools

Microsoft Purview, Collibra, DataGalaxy, Informatica, Talend, or the features of your data platform

Frequently asked questions

Do we need a governance tool to start?

No. Roles and rules matter more than the tool. We add tooling later to suit your needs, often with the features of your data platform

How much time does the data owner role take?

A few hours a month. Day-to-day work falls to the data stewards, with time genuinely set aside

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