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