cimt

Service · Governance & Quality

Data Governance & Data Quality

Policy, quality and compliance in order — from the DAMA framework to the EU AI Act. We design frameworks that work in your organisation, not in a textbook. Pragmatic, measurable, auditable.

Data Governance is the combination of people, processes and technology with which an organisation maintains control over what data is, where it comes from, who owns it, and how it can be used. Data Quality measures and monitors the usability of that data: completeness, consistency, timeliness, reliability. cimt builds both on a single foundation — a governance framework based on DAMA DMBoK, implemented with erwin Data Intelligence, and populated with measurable data quality controls. Result: GDPR / EU AI Act / Data Act compliance is no longer an annual scramble but a daily, auditable practice.

The framework

Governance framework design

An effective governance framework is the backbone of every data management programme. cimt designs frameworks based on the DAMA DMBoK model, tuned to the maturity and ambitions of your organisation.

Governance maturity assessment

Where does your organisation stand? Which domains take priority?

Organisation setup

Data Governance Council, domain teams, roles like Data Owner and Data Steward.

Policy and standards

Data classification, naming conventions, quality norms and escalation procedures.

Process design

Workflows for data requests, change management and incident handling.

KPI framework

Measurable indicators for data quality, adoption and compliance.

Compliance

GDPR · EU AI Act · Data Act

Regulatory pressure on data management is rising fast. We translate regulation into concrete governance measures — no ad-hoc fixes, but a sustainable, auditable approach.

Regulation What cimt implements
GDPR Processing registers, DPIA support, data minimisation and retention policy — implemented via erwin Data Intelligence
EU AI Act Data lineage and quality assurance for training data, risk classification of AI systems, documentation obligations
Data Act Structure data access rights, fair-use conditions and interoperability requirements

The platform

erwin Data Intelligence as the core

A governance framework needs a central platform to manage policy, ownership and data quality. We implement erwin Data Intelligence and accompany the adoption into your data stewards.

Business Glossary

Unified definitions of business terms, linked to technical metadata.

Data Catalog

Automatic discovery and classification of data sources across your landscape.

Data Lineage

Visual insight into data flows from source to report — essential for compliance and impact analysis.

Data Quality

Define, monitor and report quality rules per data domain.

Stewardship Workflows

Approval and escalation processes for data issues directly in the platform.

Integration

Native connectors with Qlik Talend Cloud, Snowflake and most enterprise data sources.

Start with insight

Book a Governance Quickscan

In one to two weeks we map where your governance stands — and which quick wins have immediate impact on compliance and data quality.

Frequently asked

Data Governance — what data leaders ask us

What is the difference between data governance and data management?

Data management is the broader practice of all activities around data — storage, integration, quality, analysis, operations. Data governance is a part of that: the policies and processes that determine how data is managed. Governance is the "rules of the game"; management is "playing the game". The DAMA DMBoK framework positions governance as the first of 11 knowledge areas because it steers the others.

How long does it take to set up a data governance programme?

A first working governance foundation (Council, policy, first domain active) typically stands in 3–6 months. Maturity across all DAMA knowledge areas is a multi-year journey. cimt works incrementally: you get value out of the first quarter and build from there based on business priorities.

Do we strictly need erwin Data Intelligence?

No — the governance framework itself is tool-agnostic. We implement erwin Data Intelligence because it offers the broadest DAMA coverage (Business Glossary, Catalog, Lineage, Quality, Stewardship in one platform) and proven integration with Qlik and Snowflake. If you already work with Collibra or Informatica we help optimise rather than replace.

What does a Governance Quickscan cost?

A Governance Quickscan is a fixed-scope engagement with fixed price and 1–2 week duration. Exact pricing depends on organisation size and scope — we discuss it in the first conversation so you know what you get before deciding.