In the first chapter of our series, we took a look at what data governance is all about.
Now we’re going to find out how to establish rules for corporate data governance.
Note that what we’re about to see is true for managing your customers’ data, but it’s also true for all other forms of governance (countries, associations, companies…).
Set and follow the 3-point rules
Setting the rules
The rules implemented will depend on the company and its operations.
However, they will have to take into account the rules imposed by the administration such as ISO or RGPD.
It will also be necessary to establish the various roles, such as that of the CDO (Chief Data Officer), who will be in charge of managing the company’s data.
Finally, the data protection mechanism will need to be put in place to prevent loss and theft.
Comply with defined rules
It’s all very well to define the rules, but it’s important that they are followed to the letter.
This means, for example, setting up access rights to data so that members of the organization can access it simply and securely.
Compliance with the rules will not only ensure that the data is used correctly, but also that it is kept up to date and up to date.
Demonstrate flexibility
With digitalization, everything moves faster, and what’s true one day can be totally false the next.
With this in mind, it’s important to keep in mind that any data management and governance system created must be flexible in order to maintain a high level of performance.
Managing the different facets of data
Data administration involves managing the entire solution, not just the data itself.
A database is a complete ecosystem made up of :
- Content: the data itself
- The container: where the data is stored
- Data use: why data is kept in the system
In data management, it is also important to master metadata, i.e. the information that defines the data collected (e.g. the date the file was updated).
This metadata helps ensure better data retrieval and reuse, thanks in particular to the filtering and classification functions it enables.
It is also referred to as data knowledge or semantic dictionary.
Establishing rules and complying with them is essential for good governance of collected data.
To achieve this, it is important to set up an organization that is both strict and flexible.
This is the point we will address in the next part of our series on data governance.
