- Policy & Documentation
5+
Group-wide Data Policies authored
Binding principles, roles, and standards that organizations now govern by.
Data Strategy & Governance Operating Model
Strategy Sets the Direction. Governance Makes It Real.
A data strategy on a slide changes nothing. We build the governance operating model behind it: the owners, roles, policies, and processes that turn your data ambition into something your organization actually runs every day.
Who we work with
Our Offerings
What We Offer.
You’re here
Data Strategy & Governance Operating Model
The end-to-end program: strategy, operating model, roles, processes, and management.
Data Governance Training & Enablement
Enable Data Officers, Owners, and Stewards, plus a base training for everyone.
Read about Data Governance Training & EnablementAccess Approval Process
An auditable, digital workflow from data request to provisioning.
Read about Access Approval ProcessCatalogue & Metadata
Make data findable, understood, and owned across the group.
Read about Catalogue & MetadataData Maturity Assessment
An outside-in benchmark of where your data governance really stands.
Read about Data Maturity AssessmentAI DG Assist
Metadata and PII tagging in minutes, not weeks.
Read about AI Data Governance AssistanceData Quality Monitoring
Live DQ scores, rule violations, and trends by domain and severity.
Read about Data Quality MonitoringDG Dashboard & Management Reporting
Make governance progress visible to leadership, in numbers (MIS).
Read about DG Dashboard & Management Reporting (MIS)
How We Work
How We Work With You.
We like the work we do, and we stay engaged in it from start to finish. You feel that in the close contact, the quick answers, and the load we take off your team.
Closeness
Always reachable, with direct exchange and quick clarifications instead of coordination loops.
Helpfulness
We roll up our sleeves and work to solve, not to report, taking load off your team.
Proactive & Accommodating
We come prepared, flag challenges early, and stay to solve them with you.
One Team, from Start to Finish
The team that designs your governance is the team that runs it.
Why It Matters
Why Bad Data Is Not an Option.
Companies run on data. Every decision, every automation, and every future business model depends on it. When the data underneath is messy, everything built on top suffers.
30%
of total enterprise time goes to non-value-added tasks because of poor data quality and availability.
McKinsey, Designing data governance that delivers value, 2019 survey
15 to 25%
of revenue is what bad data costs most companies, year after year.
MIT Sloan Management Review, 2017.
11%
of respondents in a Deloitte Dbriefs polling survey said they have a strong data governance structure in place.
Deloitte, Deploying effective data governance to achieve key business priorities, 2022
The Journey
From Data Chaos to an AI-Ready Organization.
This is how we set up data governance with you, step by step, proven inside energy groups and financial institutions. There is no need to start at the beginning. We join the roadmap wherever you stand today and walk it with you from there.
- Step 1 · Positioning
Define the Governance Positioning
Leadership first settles the questions that shape everything else: how proactive to be, who decides, and where governance should enforce or simply help.
ProactiveReactive
Leans proactive
Top-DownBottom-Up
Leans top-down
EnforcementEnablement
Leans enablement
Existing RolesNew Roles
Leans new roles
Line OrganizationUse Cases
Leans use cases
- Step 2 · Gap Analysis
Run a Gap Analysis and Prioritize
This helps us find the biggest pain points and prioritize which data governance topics to deal with first. Each gap is scored by impact and effort, and the quick wins rise to the top.
High Impact
High Impact · Low Effort
- 3Roles & Responsibilities
- 6Data Ownership Assignment
High Impact · High Effort
- 2Data Policy definition
- 8Organizational Bodies
- 5Data Catalogue Definition
- 1Data Strategy definition
Low Impact · Low Effort
Low Impact · High Effort
- 4Data Inventory Definition
- 7Data Delivery / Sharing Agreements
Low EffortHigh Effort
Low Impact
- Step 3 · Framework
Set Up the Data Excellence Framework
This sets the foundation: a vision and mission, a roadmap, a mandate from leadership, and the Data Excellence Framework the rest builds on.
Data Excellence Framework
Data Governance
Directive & Policies
The binding rules and principles for how data may be used.
DG Processes
Repeatable workflows that run governance day to day.
Roles & Responsibilities
Who owns, decides, and maintains data, made explicit.
Decision Processes
How data decisions get made, and by whom.
Data Management
Metadata Management
Capturing and maintaining the data about your data.
Document Management
Keeping governance documents current and findable.
Data Quality Management
Measuring and improving accuracy, completeness, and trust.
Master & Reference Data
One consistent version of core business entities.
Data Platforms
Data Catalogue
A searchable inventory of what data exists and where.
DQ Tool
Software that monitors and reports on data quality.
Integration & Access
How data moves between systems and who can reach it.
Data Architecture
Data Landscape Map
A clear picture of systems, flows, and ownership.
Domain Architecture
Organizing data around business domains.
Data Modelling
Defining the structure and relationships of your data.
Data Excellence Maturity Assessment
Directive & PoliciesThe binding rules and principles for how data may be used.
- Step 4 · Policy
Write the Initial Data Policy
A short policy hands the program its mandate. Hover a principle to see what it means.
- Step 5 · Roles
Appoint Data Officers, Owners, and Stewards
Governance only works when roles are named and accountable. We suggest starting with three core roles as the basis, then developing them and adding further roles over time. Each one is trained for the job.
Data Officer
- Coordinates
Coordinates governance across the group and carries the mandate.
Data Owner
- Owns
Accountable for the data in a domain and who may use it.
Data Steward
- Operates
Runs the day-to-day: quality, documentation, and fixes.
Individual offering
- Step 6 · Build
Build the Processes, Enablement, and Catalogue
With the foundation in place, the operational layer goes in: processes, enablement, and the data catalogue at the centre, where data flows in and back out to the business.
IN
- Systems
- Owners
- Processes
Data Catalogue
OUT
- Reporting
- Analytics
- AI & ML
Individual offerings
- Step 7 · Roll-Out
Roll Out and Assess Maturity Across Entities
Now it goes across the organization. A maturity assessment shows how far each team has come on one scale, and turns that into a clear set of next moves.
An example maturity profile 1 2 3 4 5 6 Organization Level reached Processes Level reached Data Level reached Platforms Level reached MATURITY LEVEL
Individual offering
- Step 8 · Operate & Scale
Automate, Monitor, and Report
Once the basics are live, it starts running on its own. AI fills the catalogue, quality is watched around the clock, and leadership steers from a live dashboard.
AI tags the catalogue - PII
- Owner
- Domain
Minutes, not weeks
Live dashboard - 68%PROGRESS
- 2.3kASSETS
Individual offerings, powered by EMPA tools
What Comes Next
Where Governance Takes You Next.
Governance is the foundation. When you are ready, we keep working alongside you into the areas it opens up next.
- Data Productization
- Data Marketplace
- Data Architecture
- Domain Modelling
- Automation
- Data Lineage
- Data Mesh
- Master Data
- Data Products
- Self-Service Analytics
- AI Readiness
- Data Literacy
- Metadata
- Observability
- Reference Data
- Data Contracts
Our DataGov Team
We Run Your Data Governance.
Track Record
What We've Actually Delivered.
Not promises, work. A selection of what our team has built on group-wide data governance and management programs in regulated, data-intensive industries.
- Operating Model
4+
Data Offices stood up in DAX-listed & multi-entity groups
Federated and hub-and-spoke models, given a mandate and a home.
- Assessment
20+
Maturity assessments conducted
Outside-in benchmarks delivered across teams, entities, and groups.
- Roles
3
Governance roles embedded: Officer, Owner, Steward
Accountable ownership rolled out across domains and legal entities.
- Enablement
500+
People trained
Leaders and practitioners enabled through role-based training.
- Management
100+
Data assets catalogued and owned
Made findable, documented, and accountable, the foundation for AI.
Tools We Operate
Tool Agnostic but Certified Implementation Partnerships.
We are not tied to one vendor. We cover the full range of industry standard governance tools with a team of skilled, trained and certified experts in our team.
- dataspot.
- erwin DIS
Engage Us
Start Small. Scale When It's Working.
Three ways to work with us, from a no-commitment conversation to a fully scoped program.
Initial Consultation
Start Here
No Cost
60-minute expert conversation
- Ask us anything
- Initial situation review
- An honest outside perspective
- No sales pitch, no commitment
Data Strategy & Governance Kickoff Workshop
Recommended
€5,000
Half-day on-site kick-off workshop, followed by an outside-in analysis and next-best-action recommendations, for €5,000
- Framework and roles, explained fast
- Your priorities and use cases mapped
- A quick-win roadmap to act on
- Leadership aligned in one room
Outside-In Analysis
Assessment
An external read of where you stand
- Governance maturity benchmark
- A clear gap analysis
- Prioritized recommendations
- An executive-ready summary
Let's Talk
Let's Make Your Data Governance Real.
Andreas ThäwelManaging Director