It is the goal when conducting explanatory analytics.

It is a pattern discovered with exploratory analytics.

It is the starting point for exploratory analytics.

You try to find patterns with explanatory analytics, versus recommending actions with exploratory analytics.

You try to find a root cause with explanatory analytics, versus finding patterns with exploratory analytics.

You try to find why something happened with explanatory analytics, versus finding what happened with exploratory analytics.

in multiple data segments

in customer demographics

in product offerings

graphical tools

segmentation

statistics

to determine the profitability of its past performance

to calculate measures of past performance

to gain insights into issues that affected its past performance

All the key metrics can only be captured with custom software.

Custom software will be more expensive than what you need.

Your existing prepackaged software cannot be customized.

Use descriptive analytics.

Use exploratory analytics.

Use explanatory analytics.

You want everyone in your organization to receive information about the key metrics.

When you create your reports, you want to include as many metrics as possible.

If you include too many metrics, you might unintentionally hide key trends.

sales data by age group for April 2022 and July 2022, and the percentage change

sales data by age group, and total monthly sales for each age group

sales data by age group, segmented by adding different data columns

Stop the presentation, examine that data, and then finish at a later date.

Set it aside and investigate the question in a separate project.

Pivot from her presentation to address the new question.