Shared definitions
Teams work with documented definitions and agreed quality standards.
Data governance
Make ownership, definitions and data quality part of your organisation’s day-to-day work.
Departments sometimes use different definitions and data for the same indicator. This leads to discussions about the figures and who is responsible. Data governance sets out ownership, definitions, access and data quality agreements.
From an isolated possibility to a practical application
An application only becomes meaningful when it fits a specific task and the information available for it.
The setup is built around the most important data and specific applications. That is why we define in advance what the solution should and should not do, how its output will be checked and who remains responsible.
What it delivers
Clear ownership
It becomes clear who manages the data and who takes responsibility for improvements.
Reliable applications
Dashboards and AI can rely on data that is fit for its intended use.
Our approach
-
Determine how the data will be used
We start with the report or application that needs the data.
-
Examine data and definitions
We map out sources, ownership and quality issues.
-
Set up agreements and checks
We document definitions and make quality measurable.
-
Implement improvements
We address causes at source, during processing or in how the data is used.
-
Keep monitoring
We detect changes in quality or definitions.
Tailored to your organisation
This service is relevant for organisations with multiple data sources and reports. The exact setup depends on the process, the available data and the risks associated with the application.
We therefore start with a clearly defined application and only expand once the initial setup works in practice.
Other solutions
One data platform for fragmented sourcesBring data from separate systems together in one place, where everyone sees the same figures.
Dashboard for day-to-day operationsSee how things stand on one screen, without having to build reports first.
Predicting when maintenance is neededPlan maintenance based on what the data says, not on a fixed schedule.
Frequently asked questions
This service addresses the following question: how do you organise data ownership, definitions, access and quality standards? The specifics depend on the process and the data available.
The service can be relevant to organisations with multiple data sources and reports. A clear need and usable information matter more than the size of the organisation.
That depends on the application. We start with the question you need to address, then determine which data or sources are necessary and suitable.
No. For fixed, predictable tasks, conventional automation may be enough. We choose the simplest approach that addresses the question effectively and add complexity only when needed.
We define the scope of the application, check the results with users and put appropriate controls in place. Once it is in use, we monitor how it works and adapt the solution when the data, its use or the context changes.
Want to compare consultancies first? See our overview of the best data governance consultancies.
If you want to formalise AI policies in a management system, read about the ISO 42001 AI management system.
If you need to report annually on commuting and business travel, read more about WPM reporting with reliable data.
Discover what data governance can do for your organisation
Want to explore where it makes sense to start with data governance? We’ll map out the challenge, the available information and the requirements together.