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

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 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

Note: You can't use line items that are configured as summary items.

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

Note: 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.

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.