A self-service model requires both strong governance to ensure accuracy in reporting as well as flexibility so users can answer questions quickly. On top of all of this, there needs to be a way to distribute deliverables that still keeps that balance.
As we have worked on these projects, we’ve seen many ways in which Power BI meets these goals. In today’s post, I want to detail the different features in Power BI that helps uphold the goals listed above.
Access to Reliable Data
One of the key issues that organizations look to solve with self-service is access to reliable datasets. Whether it’s accounting, operations, marketing, or combinations of those datasets, organizations need to guarantee that there’s a single source of truth that all users are working off of, so that reports end up matching.
Datasets can be managed in Power BI to ensure that all users are working off the same data. Power BI datasets can be designed in both Power BI desktop and Power BI workspaces, which gives users the ability to create models and calculations based on different tables and subject areas.
Data stewards and curators can develop datasets that meet the requirements of the business and then distribute those to all users through Power BI workspaces. Through workspaces, stewards can implement as tight or as loose of controls on access to datasets as needed to guarantee governance. Also, as changes and updates need to be made to the dataset, data stewards can update the existing dataset so that all changes automatically follow downstream to users’ reports.
On top of all of this, Power BI datasets can be enriched with Auto ML features, so advanced analytics are easily integrated into the data that’s embedded in your organization.