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Reports

Using the Reports widget, you can view performance reports that are relative to a time axis.

Prerequisite: Using the Reports widget from a dashboard requires a monitor model that contains one or more cubes. Each can contain one or more dimensions for further analysis.

The Reports widget analyzes historical values of numeric business measures that belong to a cube. A cube is a multidimensional representation of data needed for online analytical processing.

You can use business measures, within this cube, as dimensions to further break down the business measures values that are being analyzed.

Four types of analysis can be performed on historical data of a cube: Basic, Quartile, Trend, and Control. The following table contains descriptions for the supported analysis types.
Analysis type Description
Basic Displays the business measures values.
Quartile Displays the value of the boundary at the 25th, 50th, or 75th percentile of a frequency distribution divided into four parts, each containing a quarter of the population.
Trend Displays the analysis of the changes in a given item of information over a period of time using the Exponentially Weighted Moving Average (EWMA). The EWMA is the average of historical values that are given weights (by a weighting factor), which exponentially decrease by time.
Control Displays the variation in the business measures that you are measuring to help you understand and reduce the variation. It is used mostly for quality control. The allowable variation is three times the standard deviation of the data.

The output report is generated in the form of a table and a graph. If you choose the Basic analysis type, you can add multiple business measures; for the other analysis types, you can select only one business measure.

In addition to the defined business measures that are part of the selected cube, the report provides two predefined business measures: Sum of New Items and Sum of Resolved Items. Your analysis can include one or both of these predefined business measures, or one or more of the modeled measures.




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