General Performance Analyses are perhaps the most common type of analysis you can run in Sisu, and are useful for providing an overall “birds-eye view” of your organization’s data and its implications.
|Since data analysis is iterative in nature, you can edit and re-run your Analysis configuration at any time. Alternatively, you can copy the Analysis and edit copy instead, to leave your original Analysis configuration intact. Refer to Duplicating and Editing an Analysis
- Understanding Sisu's Analysis Types
- Interpreting a General Performance Analysis
- Tuning an Analyses with Advanced Settings
What is a General Performance Analysis?
A General Performance Analysis is one of the three analysis types that Sisu performs:
- General Performance
- Time Comparison
- Group Comparison
This type of analysis provides an “overall” analysis of your data. Sisu explores all possible combinations of data points in your data, determines the relevant statistics for each subgroup, and then uses our algorithm to determine which subgroups are statistically significant.
|Statistical significance is driven by the potential impact the information from the data combination will have on possible outcomes in your business.|
For more details, please refer to Understanding Sisu's Analysis Types.
Configuring a General Performance Analysis
To create and configure a General Performance Analysis:
- Ensure that you have either uploaded data to Sisu or have connected to a data source.
Refer to the “Connecting to External Data Sources” articles in the Data Input & Connections section for details on connecting to a data source.
- From the Projects module, select the Project Name you wish to work with.
Refer to Understanding Project & Analysis Hierarchy for more information.
- Select a Metric for your analysis.
Refer to Defining a Metric for details.
- Click "+" to create a new Analysis.
- Select “Rename” from the dropdown menu on the new Analysis and give it a descriptive title.
General Performance is the default analysis type when creating a new Analysis. This analysis type therefore defaults to “Average” in the first drop-down menu (this can be changed to “Sum” or “Count”), and nothing is defined in the “Compare” option.
The analysis automatically includes all data columns within the dataset. However, if you need to remove any data point, you can use the Manage columns button to deselect them.
- Select Custom filter to define any filters you would like to apply to the Analysis.
- Click "Run".
Sisu will process the Analysis and display the results.
If you receive a “Run failed” message, you can click “Show details” to display information about what went wrong. Usually, it’s a problem with the data that can be easily fixed.
Refer to Troubleshooting Common Issues for further assistance.
Refer to Interpreting a General Performance Analysis for information on understanding the analysis results.