Organization maturity self-assessment

Data Governance Checklist. Assess your data governance maturity.

See which practices work across the organization, where the largest gaps are, and which area should be addressed first.

6areas

30criteria

5-8 minto complete

How to answer: check an item only when the practice operates regularly and you can identify an owner or evidence. A pilot or one-off activity is not a full implementation.

Score: 0 / 30

0%0 of 6 areas at a good level

Check the items below

We have a documented Data Governance Policy Naming conventions exist for fields, tables, and metrics We have a defined data classification (public / internal / confidential / sensitive) Data retention policy is documented and enforced (we know how long we keep data) Data validation rules are documented and implemented in systems

We regularly profile data (checking completeness, uniqueness, validity) We have a deduplication process (customers, products, vendors) Data is validated at entry (forms, imports, API) - not after the fact We have a dashboard / data quality reports with KPIs (completeness, accuracy, timeliness) There is an escalation and remediation process for detected quality issues

We have a data catalog - we know what data is stored where We have a business glossary linking business terms to database fields We track data lineage - we know where data comes from and how it transforms A new employee can find the data they need without asking colleagues Data documentation is up to date (not older than 6 months)

We have a defined "source of truth" for key entities (customer, product, vendor) Product identifiers (EAN/SKU/ERP index) are mapped across systems The same customer has one consistent identifier in CRM, ERP, and e-commerce Changes in master data (e.g. new product) propagate automatically to all systems Product/category hierarchies are consistent across ERP, online store, and analytics

Data access is controlled (RBAC) - not everyone sees everything Personal data is tagged and subject to special safeguards (masking, encryption) We have GDPR consent management in place A breach notification procedure exists - we know what to do in case of a data leak We regularly review and update user permissions

We have designated roles: Data Owner, Data Steward, or equivalent A Data Governance Council or regular data quality meetings exist Employees are trained on data management principles (onboarding, workshops) Decisions are made based on data, not gut feeling (data-driven culture) Data quality KPIs are part of regular executive reporting

Your score

From diagnosis to an action plan

Improve the weakest area instead of implementing everything at once.

I help define ownership, standards, quality controls, and a practical Data Governance implementation plan tailored to the organization.

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Data Governance Checklist. Assess your data governance maturity.

Policies and standards

Data quality

Metadata and data catalog

Master data and integration

Security and privacy

Organization and culture

Your score

Improve the weakest area instead of implementing everything at once.