1. Define the domain
Capture boundaries, subdomains, business capabilities, key systems, datasets, and critical data elements.
Define domain boundaries, ownership, systems, critical data, consumers, dependencies, maturity, and priorities in one structured assessment.
Complete the domain profile, review the deterministic assessment, then export the map for governance planning.
Capture boundaries, subdomains, business capabilities, key systems, datasets, and critical data elements.
Record ownership, stewardship, maturity, quality, documentation, regulatory relevance, and priority.
Use the map, score, ownership-gap analysis, warnings, and prioritised actions in governance workshops.
Required fields are marked with an asterisk. Comma-, semicolon-, or line-separated entries are accepted.
Complete the form to generate a result.
The mapper combines domain definition coverage, accountability, dependency visibility, and governance readiness into a transparent 0–100 score.
Use the output to prepare domain workshops, confirm accountable roles, prioritise metadata and quality work, and identify dependencies requiring validation. Re-run the assessment after material changes.
The mapper relies on user-supplied information and does not inspect systems, contracts, data flows, or regulatory obligations. It should not replace formal architecture, audit, legal, privacy, security, or compliance review.
For portfolio comparison, apply the same interpretation guidance and evidence standard across all domains.
Continue from domain definition into catalogue, glossary, quality, policy, and stewardship work.
Practical guidance for applying domain mapping in enterprise governance.
A data domain is a coherent area of enterprise data aligned to business meaning, accountability, processes, and outcomes, such as Customer, Product, Finance, or Workforce.
A subdomain is a narrower, logically distinct part of a parent domain. For example, Customer Identity and Customer Interaction may sit within the Customer domain.
The accountable owner should be a senior business role with authority over domain outcomes, priorities, funding, risk acceptance, and cross-functional decisions.
A steward coordinates definitions, quality issues, metadata, access, controls, and operational decisions. Stewardship supports the owner but does not replace accountability.
Use level 1 for ad hoc practices, level 2 for repeatable practices, level 3 for defined practices, level 4 for measured and managed practices, and level 5 for continuously improved practices.
A critical data element is a field or attribute whose failure could materially affect decisions, customers, reporting, operations, compliance, finance, or risk.
Do not assign a domain as its own parent or repeat the parent as a subdomain. In a portfolio process, maintain unique identifiers and validate the complete hierarchy before publication.
Record the domain, system, process, or team that supplies data upstream and the consumers or processes affected downstream. Include frequency, interface, control owner, and failure impact where possible.
Yes, provided assessors use the same evidence standard, scoring guidance, and review process. Treat large differences as prompts for investigation rather than proof of performance.
No. The score is an internal planning indicator based on supplied information. Compliance requires assessment against applicable obligations and supporting evidence.
Review at least quarterly for high-priority domains and whenever ownership, systems, regulations, major datasets, operating models, or business capabilities change.
This implementation does not transmit data externally. Basic submission is processed in the current PHP request and session unless the site owner deliberately adds secure storage.