In a system struggling with data management, Power BI governance works as a useful tool. It determines the type and processes for the management of data assets. Hence, you will get better data security and quality at all levels.
Though data governance is a vast subject that depends on several factors, you can implement it successfully in your organization with the right strategies. Here’s more about these tactics:
Manage the Delivery Approaches
The way you approach data governance can make a lot of difference. It affects the reporting processes and sets responsibilities for the teams. The three main approaches for Power BI delivery include:
- Self-Service Business-Led BI: In this scenario, you will have great control and involvement over the data assets as a user. It may involve both governed and ungoverned data sources to understand varied data patterns and recordings. The ownership goes to the business in this approach.
- Corporate BI: It is the system of enterprise reporting, where IT owns the entire implementation process. It involves several layers of data management right from collection to reporting.
- Self-Service IT-Managed BI: Using Power BI as a reporting layer, you can manage governed data sources. The IT teams in your organization will control data layers adhering to enterprise-level data policies. It leads data up to the semantic layers and uses individual release cycles.
Depending on the data management needs of your system, you can adopt any of these delivery approaches. Remember, the method will determine the level of your business’s involvement in the process.
Build a Strong Team
For proper deployment of Power BI governance in your organization, you need a dedicated team, as well. But, the roles may vary depending on the deployment approach. Mainly, you need a super-user to ensure turn-key development and deployment.
The super-user will monitor and manage other Power BI users in various stages of implementation. You must ensure collaboration and adherence to the best practices in the training of your Power BI Teams.
Other roles may include:
- Report designer for report creation
- Report consumer to read the reports
- Data modeler to collect data
- Workspace admin for each single workspace
- Workspace user for managing content in every workspace
- Capacity admin to manage the premium capacities
Set Up Workspace and Security Protocols
By setting up a virtual space for collaboration among users, you can bring more expediency and efficiency in the governance of Power BI. Divide the workspaces according to projects.
For example, a sales workspace will create a collaborative platform for the salespeople in your organization. Also, choose your admin for each workspace carefully because you entrust them with vital data assets.
Here, security is another critical factor. It will help if you use multiple-level security mechanisms for each workspace and user. When planning these protocols, include shared reports, datasets, and dashboards for complete compliance.
When sharing the reports, ask your teams to use a read-only dashboard, add only their peers in the group, and send content only to trusted recipients.
Apart from these, your Power BI governance may also include features like system usage, data source usage, and report performance. With these features and strategies, you can make better business decisions in the long run.