Increasing Trustworthiness of Power BI Content: by Melissa Coates
Increasing Trustworthiness of Power BI Content. 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 Bio: As the owner of Coates Data Strategies, Melissa provides training and consulting services with a focus on Power BI governance, deployment, security, and administration. 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.
You can visit Melissa's website at CoatesDataStrategies.com.