How does Quick Insights work?

Power BI quickly searches different subsets of your dataset while applying a set of sophisticated algorithms to discover potentially-interesting insights. Power BI scans as much of a dataset as possible in an allotted amount of time.

You can run Quick Insights against a dataset or tile (Related Insights).

What types of insights can we find?

These are some of the algorithms we use:

Majority (Major factors)

Finds cases where a majority of a total value can be attributed to a single factor when broken down by another dimension.

Category outliers (top/bottom)

Highlights cases where, for a measure in the model, one or two members of a dimension have much larger values than other members of the dimension.

Time series outliers

For data across a time series, detects when there are specific dates or times with values significantly different than the other date/time values.

Overall trends in time series

Detects upward or downward trends in time series data.

Seasonality in time series

Finds periodic patterns in time series data, such as weekly, monthly, or yearly seasonality.

Steady share

Highlights cases where there is a parent-child correlation between the share of a child value in relation to the overall value of the parent across a continuous variable.

Correlation

Detects cases where multiple measures show a correlation between each other when plotted against a dimension in the dataset.

Change points in a time series

Highlights when there are significant changes in trends in a time series of data.

See also

Power BI Quick Insights

Optimize your data for Power BI Quick Insights

Power BI - Basic Concepts

Dashboards in Power BI

More questions? Try the Power BI Community