Data governance is a structure put in place allowing organisations to proactively manage data quality. There is no one size fits all approach. For it to work, it must fit with the organisation’s culture, structure and practices. The basic components of a data governance framework are policy, processes, and roles and responsibilities.
For data governance to be successful, realistically you need the whole organisation to be acting with a data governance mindset as everyone tends to be involved with the data at one stage. You can separate people into the below 4 roles:
As the creation of data volumes and sources continue to grow, the big challenge that companies face is how to continue to improve the value that they get from their data – without compromising its integrity. Data Governance ultimately helps you to find, understand and then use the data properly – helping with time to value.
Another huge driver of Data Governance is the GDPR. A lot of the new regulations put in place (such as The Right to Erasure & Subject Access Requests) will demand high levels of governance in order to comply. Having the Processes, Policy and Roles in place gives you the authority to implement and facilitates a consistent and repeatable approach for the necessary data governance to comply.