Sisense Quest Models

Sisense provides several pre-built models that you can apply to supported time-series widgets. Below are descriptions of the pre-build models and their supported actions.

Anomaly

Anomaly detection models detect any anomalies or outliers in your data set, for example, if your total revenue fell drastically for one month out of the year.

Supported Widgets

Available Actions

Model Requirements

Note: Break-bys not supported

Adding Anomaly Models

To add an Anomaly model to a widget:

  1. In your dashboard, edit a supported widget. The Quest Model Editor is displayed in your Design panel.
  2. Enable the Anomaly model.
  3. Click the Model title to display its supported actions.
  4. Select the relevant actions that Viewers can perform after they click the Deep Analysis button in their dashboard.
  5. Click Apply. The model is displayed to Viewers that click Deep Analysis in the relevant widget.

What-If Analysis

What-If analysis models let you add variables and test their impact on your data. This creates what-if scenarios that enable you to look at what might have happened if a different scenario had played out.

Note: When calculating future data points, only the next 10 values are displayed.

Supported Widgets

Available Actions

Model Requirements

Note: Break-by is not supported

Adding What-If Models

To add a What-If model to a widget:

  1. In your dashboard, edit a supported widget. The Sisene Quest Model Editor is displayed in your Design panel.
  2. Enable the What-If model.
  3. Click the Model title to display its supported actions and Target Values.
  4. Select the relevant actions that Viewers can perform after they click the Deep Analysis button in their dashboard.
  5. Select the relevant target value to be forecasted.
  6. Click Apply. The model is displayed to Viewers that click Deep Analysis in the relevant widget.

Trend

Trend analysis models display underlying patterns of trend break-points in your data as a linear line indicating trends. For example, if your total sales have generally increased over a given period of time, Sisense adds a linear line to your widget indicating the upward trend.

Supported Widgets

Available Actions

Model Requirements

Note: Break-bys are not supported.

Adding Trend Models

To add a Trend model to a widget:

  1. In your dashboard, edit a supported widget. The Sisense Quest Model Editor is displayed in your Design panel.
  2. Enable the Trend model.
  3. Click the Model title to display its supported actions.
  4. Select the relevant actions that Viewers can perform after they click the Deep Analysis button in their dashboard.
  5. Click Apply. The model is displayed to Viewers that click Deep Analysis in the relevant widget.

Local Estimate

You can apply local estimate analysis to your widgets. Local Estimate models add trend lines according to the mean of a time series.

Supported Widgets

Available Actions

Model Requirements

Note: Break-bys are not supported.

Adding Local Estimates Models

To add an Anomaly model to a widget:

  1. In your dashboard, edit a supported widget. The Quest Model Editor is displayed in your Design panel.
  2. Enable the Local Estimates model.
  3. Click the Model title to display its supported actions.
  4. Select the relevant actions that Viewers can perform after they click the Deep Analysis button in their dashboard.
  5. Click Apply. The model is displayed to Viewers that click Deep Analysis in the relevant widget.

Next Steps