Group Scorecard Table Views

Group scorecard table views let you view multiple metrics in the same scorecard. Group scorecard table views display the metrics by subgroup, device, or component for the selected group. These views incorporate red, orange, yellow, and green icons as visual indicators of performance levels. The color of the status icons is based on a set of user-defined thresholds. You can specify separate thresholds for each metric.
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HID_Multi-Metric_Scorecard_View
Group scorecard table views let you view multiple metrics in the same scorecard. Group scorecard table views display the metrics by subgroup, device, or component for the selected group. These views incorporate red, orange, yellow, and green icons as visual indicators of performance levels. The color of the status icons is based on a set of user-defined thresholds. You can specify separate thresholds for each metric.
You can select counter metrics (for example, Bits Out - Total). However, group scorecard table view thresholds are intended for gauge metrics (for example, Bits Out - Average Rate).
Group scorecard trend views are also available, which provide line-of-business owners a group-level summary of how key metrics perform over time. For more information, see Group Scorecard Trend Views.
The following image shows the important elements of a group scorecard table view. The Metric Calculate Level is set to Component Hierarchy. The Health Indicator column is shown.
MultiMetricScorecard
MultiMetricScorecard
Configure a Group Scorecard Table View
To display a group scorecard table view, add the IM Group Scorecard Table view. Group scorecard table views include standard view configuration options, such as time filters and context settings. For standard view configuration details, see Customize Views.
On dashboards, group scorecard tables render best in single-column layouts. Group scorecard tables with fewer columns also render well in two-column layouts. Do not use group scorecard tables in three-column layouts.
Follow these steps:
  1. Show
    or
    Hide
    the Health Indicator column.
  2. Select the
    Metric Calculate Level
    .
    This option determines what level of aggregation each row in the scorecard view represents: a group, a device, a component, a device hierarchy, or a component hierarchy.
    Component Hierarchy
    shows aggregation to the current group and to each group that is a child of that group.
  3. Set the
    Results Limit
    . This limit determines the number of items that are included in the data results shown on each page of the scorecard.
    If the
    Results Limit
    is less than the child item count, only the data results within the limit are aggregated. For accuracy, we recommend the
    Results Limit
    exceed the child item count. However, your child item count might exceed the supported maximum limit to meet performance expectations. In this scenario, we recommend that each parent group contain a smaller set of child items.
  4. For each metric, specify the thresholds for the status indicators.
    If the value for the metric is at or above the specified value, the icon indicates the status by color.
    Red indicates critical, orange indicates major, yellow indicates minor, and green indicates normal.
    To remove the status indicators, set the threshold values for all status levels to zero.
    You can specify thresholds with up to two decimals places with the lowest value being 0.01. Values with more than two decimal places are rounded.
    For metrics where low values are bad and high values are good, set Minor highest and Critical lowest. To omit a severity level, set the threshold value to zero.
  5. If the Health Indicator column is shown, for each metric, specify a weight:
    • 0
      This weight shows the metric in the table, but does not factor the metric into the Health Indicator.
    • 1
      This weight applies a standard weight to the metric when calculating the Health Indicator.
    • 2
      This weight doubles the metric value when calculating the Health Indicator.
    • 3
      This weight triples the metric value when calculating the Health Indicator.