Editing an analysis to display forecasted values

As a capacity planner, import forecasted data from external sources, such as financial documents or marketing strategies by using BMC Helix Continuous Optimization. This data is imported as statistics. Use this data in an analysis to better plan your current and future capacity requirements. 

Additionally, you can include the forecasted values produced by golden models of BMC Helix Continuous Optimization as statistics in the analysis. Compare these forecasted values with historical data over the same time period to analyze the entity behavior and identify any performance issues, trends, or bottlenecks. 

Use the Forecasted values tab in the analysis to configure the display of forecasted values. Use different chart types and colors for historical values and forecasted values to make them easier to read on the analysis chart. The Forecasted values tab is available only in the Advanced mode and when the future values (values after the analysis run) of forecasted values are present.

Related topics

Working-with-analyses

Analyzing-domain-data

Importing-forecasted-data-from-external-sources

To display forecasted values in an analysis

  1. In Workspace, select Domains, Services and applications > [Your domain] > Works.
  2. Click the analysis that you want to modify.
    The analysis details page is displayed.
  3. Click Edit. 
    The Edit analysis page is displayed. 
  4. Select the Advanced mode. 

  5. Expand the Forecasted values tab to set or edit the following properties:

    The [confluence_table-plus] macro is a standalone macro and it cannot be used inline.

  6. Click Save or continue with statistic selection.

Scenario

Paul is a Capacity Planner in an IT organization. He plans and manages the infrastructure capacity to ensure that there are sufficient resources to meet the current and future capacity requirements. He has generated the forecasted data for CPU Utilization for the March month by using an external tool.

Paul wants to compare the forecasted data generated by using the external tool with the forecasted data produced by BMC Helix Continuous Optimization for the same period. Paul performs the following steps:

  1. Import forecasted data from external sources by using the Generic CSV file parser ETL.  
  2. Create a time forecasting model with the required metrics and promote it to golden. 
  3. Create an analysis or edit an existing analysis with the required metrics and time period. For example, daily values for the March month.  
  4. Select the Advanced mode and expand the Forecasted values tab to configure the display of forecasted values. 
  5. In Display forecasted values, select Yes. Future values only. 
  6. In Available statistics, select Externally estimated daily values and Daily values forecasted by golden models, and configure their chart properties. 
  7. Save and run the analysis. 

Paul can compare both values in the chart. Additionally, on April 01, he can compare the values generated for March with the values forecasted in the past for March to analyze the system behavior. 

Review the following example video to display future values when daily values for external forecast and golden models is selected as statistics:

Where to go from here

Editing-the-namespace-and-statistic-selections-for-an-analysis


 

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