You can analyze the historical performance of a KPI over any time range for which you have historical data, and you can compare the historical data for up to five instances of KPIs on one graph.

You can specify any time range. For example, you can analyze historical data for all of 2005, or you can analyze historical data for 4 hours on 8/12/05.

Example: while investigating the relationship between order volume, order errors, and order cycle time, you observe that more errors occur within 24 hours of a holiday. You analyze the historical performance of the order errors KPI within 24 hours of the same holiday in previous years and within 24 hours of different holidays in the same year. Based on your analysis, you discover that more errors occur within 24 hours of all holidays. You then examine instances of the Revenue by Region KPI and discover that the revenue for the central region decreases significantly within 24 hours of holidays. By analyzing instances of the order process with errors, you link the increase in errors to the central region. Now you can manually investigate pre- and post-holiday order processing differences between the central region and the other regions.