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Six domains / Data Governance

Data Governance Capacity

Data becomes something departments build on, not something nobody owns.

Without it

Definitions differ by department, ownership is unclear, and every new report starts with an argument about which number is correct.

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Signs you need help here

Every report starts with a debate about the number.

01

Two departments report a different figure for the same measure and both are defensible.

02

No one is named as owner for the systems that hold your core records.

03

Classification exists on paper, so everything is handled as if it were public or secret.

04

Analytics projects stall in the first month on data quality nobody owns.

What Devensa does here

The data governance offering menu.

Offering 01 is the front door: it produces the evidence-based TruMaturity™ score and this domain’s maturity roadmap, which decides the order of everything below it. A fractional Chief Data Officer (vCDO) is available where the roadmap calls for a standing seat.

01
Current State Assessment
Data readiness across the DAMA-DMBOK knowledge areas
02
Data Governance Framework & Charter
Council, stewards, decision rights
03
Data Policy Framework
Classification, retention, access, quality standards
04
Data Architecture & Modeling Assessment
Reference architecture and data models
05
Master & Reference Data Management
Golden-record standards for core entities
06
Data Quality Program
Measurement, monitoring, remediation prioritization
07
Metadata Management & Data Catalog
The searchable inventory governance depends on
08
Data Integration & Interoperability
Integration architecture and API standards
09
Data Warehousing & Analytics Enablement
Governed data for reliable self-service reporting
10
Data Stewardship & Workforce Literacy
Building a data-driven culture
11
Data Ethics & AI-Readiness Program
Responsible use and AI data pipeline readiness
See the complete services menu →

Related insights

All insights →
Data Governance

Who Actually Owns the Data?

Poor data quality costs the average organization $12.9 million a year, according to Gartner. See why the owner-versus-custodian confusion is usually to blame.

Data Governance

Five Data Findings That Repeat in Every Audit

Poor data quality costs the average company $12.9M a year. See the five data findings that repeat in audit after audit and what actually fixes them.

The other five

Capacity underwrites the rest. Privacy, compliance, and AI governance all assume someone knows what data exists.

Cybersecurity
Continuity
Open →
AI Governance
Permission to move
Open →
Risk Management
One narrative
Open →
Compliance
Defensibility
Open →
Privacy
Public trust
Open →