Data Governance

Data and data quality, how do you do it?

How you deal with data and ensure data quality is essential for the value you can get from it. What measure do you take as an organisation to gain control over your data and information flows?

Monitoring and improving data quality

The key to good Data Governance is to define clear roles and identify the data and information flows within your organisation. It affects systems, processes, privacy & authorisation measures and people. Data Governance is important for the implementation of your data strategy as an organisation if you want to work in a data-driven way. Without good Data Governance, the implementation of a data strategy is a difficult process, as the organisational frameworks of the implementation are not clear in that case.

Our approach

According to a clear step-by-step model, we realise the Data Governance framework that covers all administrative facets of an organisation. We also provide concrete tools that give insight into which data is used for what and who is responsible for it. It is important to understand that good Data Governance must contribute to the realisation of the data strategy within the business strategy. This is what makes our approach so practical. That what is realised in terms of control measures is tested for its direct and indirect contribution to the operating result.

What questions do we often encounter with organisations?

From the use of data, we often encounter the following questions with regard to Data Governance:

“To what extent can I trust the reports and analyses I base my decisions on?”

“How do I avoid (frustration as a result of) miscommunication due to deviating data and definitions of data?”

“I am data owner, but what are the limits of my responsibility?”

Want to know more?

Cmotions, part of Broad Horizon, can help you with a practical and clear approach for your Data Governance.

Five lessons learnt about Data Governance

If you work with data in your organisation, you have probably already come across Data Governance challenges. We have a lot of experience with implementing the right Data Governance in various organisations and industries. We share the five points of attention with you.

Do not let regulations be the starting point

We often see that Data Governance is only set up because the regulator/watchdog sets certain requirements. That is why our advice is: organise Data Governance anyway, as the internal organisation has a right to it and benefits from it!

Data governance is not an ‘IT party’

Data Governance is information management across the highest levels of the organisation. Our advice is to organise Data Governance in a department that has a neutral position between IT and the business (including staff departments such as Finance, Risk, HR). You can think of an information management department or compliance.

Start with governance. IT implementation comes later

First make sure you properly describe processes and clear tasks, authorities and responsibilities. Choose a fast way to record metadata in reporting repositories, business glossaries and data dictionaries. Then ensure that these can be imported with tooling, and also look at integration with already used applications.

Continuous commitment is key

Without support from (top-level) management, the implementation of Data Governance will not go smoothly. Only if it is a recurring topic for management and is propagated within the organisation, will Data Governance become a success.

Think big, start small

The implementation of Data Governance can become a major and compelling process. However, if you start small – while keeping the bigger picture in mind – it is possible to achieve the right speed and learn from the different steps. In other words; you eat the elephant one bite at a time. When completing each small part, it is possible to show what has been achieved; the business glossary for the marketing department, an overview of reports for Finance; all small parts of the puzzle that are well worth demonstrating.