Data Governance describes how decisions about data are made, and how processes and people are expected to behave in relation to it, so data is managed according to best practice.
Gain control of your data (without being bureaucratic)
Establish clear standards, policies and procedures
Agree roles & responsibilities and make processes efficient
Enhance your chosen Operating Model and ways of working
Consider a data control framework for large organisations
The importance of Data Governance is really starting to be recognised now, but if you’re new to it we recommend a light-touch approach, because it sets up good principles while keeping admin to a minimum.
We understand the challenges of getting data under control
We can help you choose the right level of Data Governance
We can advise on the processes and artefacts really needed
We know rules that add value are more likely to be followed
Our Data Policy Checklist helps ensure nothing’s forgotten
Have you decided if you’ll need a centralised or federated Data Governance model? We can define and implement an approach that gives your business the right level of control.
Are your colleagues confused about roles & responsibilities and ways of working? We can establish a Data Management Operating Model that gets your Data Governance working smoothly.
Are you trying to use data without setting out the rules that will keep your data well governed? Our Data Policy Checklist can help you make sure all the relevant aspects have been considered.
Wherever you are with your Data Governance, we can support you. Whether you need high-level one-off advice or regular ongoing guidance, we can help you efficiently control your data.
A Global Investment Bank decided to refresh their Data Management Policy but didn’t have a clear view of their target state Data Management capability.
They also lacked confidence that successfully executing their Data Management Operating Model would result in Policy compliance by the business units and data domains.
Completed a Data Policy review using the EDM Council’s DCAM framework
Used Solidatus to create a visual relationship between DCAM capabilities and the refreshed Policy
Ticked back the Data Policy to the Ortecha Policy Checklist
Aligned the bank’s Operating Model to the Data Policy and DCAM
Clear alignment between the bank’s Data Management capability, the Policy and the Operating Model
Proof that achieving execution of the Operating Model would also achieve compliance with the Policy
Defined roadmap to target-state Data Management capabilities and Policy adoption