By Michele Hart
Friday, January 20, 2017
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).
These are some of the algorithms we use:
Finds cases where a majority of a total value can be attributed to a single factor when broken down by another dimension.
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.
For data across a time series, detects when there are specific dates or times with values significantly different than the other date/time values.
Detects upward or downward trends in time series data.
Finds periodic patterns in time series data, such as weekly, monthly, or yearly seasonality.
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.
Detects cases where multiple measures show a correlation between each other when plotted against a dimension in the dataset.
Highlights when there are significant changes in trends in a time series of data.
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