This page enables you to identify products and customers that have recently triggered outlier breaches. It provides a view into the demand sensing capabilities that exist in history correction. The page features breaches by product as the main driver of correction.
Before you start
Use the context selectors at the top-right to select a product and customer combination. Additionally, you can manually enter the required values using the search function.
Use the Customer Filter and Product Filter fields to filter on a specific customer and product.
Count of Breaches
The counts in this section represent the number of product and customer combinations that have had breaches:
| Count Type | Description |
| Up | Count of breaches that are above the upper limit. |
| Down | Count of breaches that are below the lower limit. |
| Up and Down | Count of breaches that are in at least 25% of the last ten periods. It depends on the effective parameters grid values |
Use the Edit Parameters grid to enter the parameter values locally.
| Parameters | Values |
| Number of Periods to Analyze | Specifies the number of periods to include in the analysis. |
| Alert: Percentage of Outlier Periods % | Specifies the percentage value before an alert is issued. |
The Count of Breaches by Product table displays the total number of breaches up, breaches down, breaches up percentage, breaches down percentage, and alerts for each product. The table provides a snapshot of the products to correct based on the parameters set. Products that have triggered breaches are highlighted in red.
| Parameter | Description |
| Breaches Up | Count of breaches above the limit for the product and customer combination. |
| Breaches Down | Count of breaches below the limit for the product and customer combination. |
| Breaches Up (%) | Percentage total of breaches that have crossed the above limit for the selected time period. |
| Breaches Down (%) | Percentage total of breaches that have crossed the below limit for the selected time period. |
| Alert | Specifies if an alert has been sent for the type of breach. |
Outlier Detail
Select a Time View Settings to focus on a specific timeframe.
| Parameter | Value |
| View Years History | This is the number of years history to view. If you enter more than the maximum history available, only the maximum available is shown. |
| View Period Type | View Period Type: This provides options to view planning periods as either:
|
You can set the parameter values locally by setting values in the Edit Parameters in the Outlier Identification card.
| Parameters | Values |
| Correct From | Specifies the baseline for correction. With From Mean or From Trend Line, the values are calculated using periodic data starting from the product's effective date and ending with the last effective period:
|
| Outlier Magnitude | Specifies the number of standard deviations from the mean (or standard errors from the trend line) that determine an outlier. A value of 2 highlights data points more than two standard deviations from the mean. |
The Alerts card displays the current status of history correction.
The Demand Sensing chart provides a visual display of demand sensing capabilities that exist in history correction.
| Parameter | Value |
| Chained History (U) | The sum of Selected History (U) and Inherited History(U). |
| Mean (U) | The total of the sum of all values in a collection of numbers divided by the number of numbers in a collection. |
| Trend (U) | Displays the mean of the Trendline. A trend is the general direction of change in a variable over time. Trends can be upward, downward, or flat, and are usually associated with structural causes. |
| Upper Limit (U) | The upper limit for the selected product and customer combination. |
| Lower Limit (U) | The lower limit for the selected product combination. |
Note: Use legends to view information for any week. Select a legend to show its details in the chart. Hover the cursor over a chart legend to display the legend's values in the chart. Hover the cursor over the data curve to display the data point values.
