The data insights modules contain insights about data in a given data collection. These modules are optional.

Create data insights modules

Here is a high-level summary of how to create the data insights modules:

  1. Create a list called Data Collection.
    This list includes the names of the data collections you create in Forecaster.
  2. Create a module for time and item-level insights.
  3. Create a module for item-level insights.

See the sections below for more information about Steps 2 and 3.

Create a module for time and item-level insights

Create a module for time and item-level insights with the components below. This module should be called Time and item-level insights. 

The components are:

  • Data collection list as a page selector.
  • Time dimension as a row.
    • The dimension should represent monthly, weekly, or daily data.
    • The frequency of the data should correspond to that of the historical data.
  • Item ID list as a row (the same list used in the previous modules).
  • New line items as columns. Create the line items below and format their type in Blueprint mode as detailed below.
Line itemFormat
Is_outlierBoolean
Is_changepointBoolean
Seasonality_weeklyNumber
Seasonality_bi_weeklyNumber
Seasonality_monthlyNumber
Seasonality_quarterlyNumber
Seasonality_yearlyNumber
Trend_quarterlyNumber
Trend_yearlyNumber

Notes: 

  • You can't use line items that are configured as summary items. 
  • You don't need to include all the line items in the table. If you don't include some of these line items, the action won't fail.

Create a module for item-level insights

Create a module for item-level insights with the component below. This module should be called Item-level insights. This module is identical to the previous one, except that it doesn't contain a time dimension.

The components are:

  • Data collection list as a page selector
  • Item ID list as a row (the same list used in the previous modules)
  • New line items as columns. Create the line items below and format their type in Blueprint mode as detailed below.
Line itemFormat
New_itemNumber
Obsolete_itemNumber
Stats_countNumber
Stats_meanNumber
Stats_standard_devNumber
Stats_minNumber
Stats_25th_percentileNumber
Stats_medianNumber
Stats_75th_percentileNumber
Stats_maximumNumber
Stats_percentage_totalNumber
Stats_skewNumber
[Related_data_line_item_name] + ‘_correlation’Number
Sparsity_percentageNumber
Variability_typeText

Notes: 

  • For the correlation line items, only create these line items if related data was included in the data collection. You need to create a correlation line item for each related data line item.
  • You don't need to include all the line items in the table. If you don't include some of these line items, the action won't fail.

Example module setup

Example of an item-level, insights module setup.

The setup for a new Item-level Insights module with dimensions.

Example of a time and item-level, Insights module setup.

The setup for a time and item-level Insights module with dimensions.