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You can publish great-looking Power BI reports all day - but if the data isn't trustworthy people won't rely on the content you produce. In this session we'll discuss several practical techniques and habit changes that any Power BI author can use to improve confidence in the datasets, dataflows, and reports they produce. By the end of this session, you'll have an understanding of:
What we really mean by trustworthy content
How we can make validation levels clear to content consumers
When it is appropriate to decouple datasets and reports
When to consider separating data and reporting workspaces
What the advantages are of shared datasets and composite models
Why it is useful to centralize data preparation logic
What the impact is of using certified and promoted endorsements
This session is primarily targeted towards Power BI authors. It is also helpful for Power BI administrators or Power BI Center of Excellence personnel who are responsible for establishing governance and guidelines for use of Power BI.
Melissa Coates is the owner of Coates Data Strategies. Her current professional focus is on Power BI governance, deployment, security, and administration. Melissa is the creator of the comprehensive "Power BI Deployment and Governance" online course. Melissa is the principal author of Microsoft’s "Power BI Adoption Roadmap" and the "Planning a Power BI Enterprise Deployment" whitepaper. She is big supporter of the technical community, and has been a Microsoft Data Platform MVP since 2013. When Melissa steps away from the keyboard, you can probably find her hanging out with her dog, paddle boarding, or playing in the garden.