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Setting Targets and Thresholds

Targets and thresholds are powerful features that help you set important data points and receive notifications when certain measures are reached. Targets allow you to analyze the variance between the desired and actual values of an indicator on a specific date. Thresholds, on the other hand, establish a normal range of values for an indicator and can alert you to specific events, such as when a measure reaches an unprecedented high or low. Targets and thresholds provide valuable insights and help you stay informed about your data’s performance.

Set your Targets and Thresholds

Setting your targets and threshold in Infoveave starts by selecting the Datasource, followed by selecting the measures and dimensions values for which the target and threshold are to be set.

Select Datasource Type

Let’s start the process of target and threshold creation by selecting the Datasource type.

  1. Head to the Automation module and from the dropdown options select Target and Thresholds.

  2. To start defining your target and threshold within Infoveave, click on the New Target and Thresholds.

    • You will now land on the configure target and threshold page.
  3. Start by assigning a name to your target and threshold.

  4. With the name assigned, select the Datasource. In our case, let us select the “Sales” Datasource.

  5. Once the Datasource is selected you will get the option to select further values such as date, measures, dimensions, frequency, alert range, and aggregation.

    • In this case let us select the below:
      • Date = “Order Date”
      • Measure = “Profit”
      • Dimension = “Category”
      • Frequency = “Monthly”
      • Alert Range = “This Month”
      • Aggregation = “Sum”
  6. Click on Save to save the target and threshold variables.

  7. You will be directed to the Target and Threshold page under Automation.

  8. To define the Target and Threshold values, start by downloading the template.

  9. Click on the Download icon, on the required Target and Threshold.

  10. The download template dialog box will appear showcasing the selected dimension values.

  11. Select the date range based on the frequency you desire.

  12. Choose between Percentage or Value of target based on the type of value you want to insert in the template. Let us choose Value for this tutorial.

  13. Select the dimension(s) items for each dimension on which you want to apply the targets and thresholds.

    • If you wish to select all available dimensions values, you can use the Select All option. We are limiting the selection to 5-dimension variables in this tutorial.
  14. Click the Download button to download the template in .csv format.

  15. Open the downloaded template and start to define the targets and three threshold values.

    • The threshold values are represented as “Below,” “Average,” and “Above,” corresponding to Threshold_1, Threshold_2, and Threshold_3.
  16. Upload the target & threshold template back to Infoveave.

  17. Click on the Upload Template icon to initiate the process.

  18. The upload template dialog box will appear for you to upload the configured template.

  19. Browse your local storage and select the template file created in previously.

  20. Confirm the upload, by clicking on the Data Upload button. The system will now process the data for integration.

  21. You will receive a success notification on the upload of the template.

  22. A task will be automatically generated in the workflow on the successful upload of the traget and threshold values.

  23. To set alerts on the target and threshold values, click on the Alert icon associated with the target and threshold.

    • You will be directed to the Alerts page.

  24. Infoveave sets up four alerts for every target and threshold created.

  25. To activate an alert of your choice, click on Enable Alert icon.

Conclusion

Targets and thresholds in Infoveave allow you to define important data points and receive timely notifications when particular conditions are met. Targets and thresholds allow you to analyze the difference between desired and actual values over a certain time period. They provide useful insights and keep you up to date on how your data is performing.