Group Scorecard Trend Views

Group scorecard trend views display performance metrics by subgroup, device, or component for the selected group. Group scorecard trend views provide line-of-business owners a group-level summary of how key metrics perform over time. Performance is based on a set of user-defined thresholds. These views incorporate red, orange, yellow, and green icons as visual indicators of performance levels.
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Group scorecard trend views display performance metrics by subgroup, device, or component for the selected group. Group scorecard trend views provide line-of-business owners a group-level summary of how key metrics perform over time. Performance is based on a set of user-defined thresholds. These views incorporate red, orange, yellow, and green icons as visual indicators of performance levels.
Group scorecard trend views show the average, minimum, and maximum utilization, or the selected metric at different time intervals for a group. Each interval length is equal to the time range selected for the dashboard. Out-of-the-box views show either the utilization average or the 95 percentile. The IM Group Scorecard Trend view shows any selected metric.
You can select counter metrics (for example, Bits Out - Total). However, group scorecard trend view thresholds are intended for gauge metrics (for example, Bits Out - Average Rate).
Group scorecard table views are also available, which let you view multiple metrics in the same scorecard. For more information, see Group Scorecard Table Views.
The following image shows the important elements of a scorecard view. The Metric Calculate Level is set to Group:
When you select Previous Month or Current Month, the view uses true monthly aggregation and each column header displays the last day of the month. Most group scorecard trend views always attempt to use daily data unless your data retention policy prevents it. You can use custom time ranges to get unique columns of, for example, 32 days of data. If the range is the first day of the month at midnight to the last day of the month at 11:59 PM, monthly aggregation is applied.
Scorecard Elements
Scorecard Elements
If a time period renders nonnumeric value for the reporting metric, the scorecard view and header contains a gray icon. This icon indicates that the data for that timeframe includes an invalid data point.
Group scorecard trend views calculate and display projected values as follows:
  • For monthly intervals, the first projection is the last day of the following month.
  • For weekly intervals, the first projection is midnight on the following Sunday.
  • For daily intervals, the first projection is the following midnight.
  • For hourly intervals, the first projection is the top of the following hour.
IM Group Scorecard Trend View
The IM Group Scorecard Trend view is a fully customizable scorecard. This scorecard displays historical time intervals for any metric, and up to three projected values. The projected values are calculated from the trend of historical data in the time range of the view. The items in a group determine the metrics that are available in this view.
Interface 95th Maximum Percentile Trend Scorecard View
Most group scorecard trend views always attempt to use daily data unless your data retention policy prevents it. However, the Interface 95th Maximum Percentile Trend Scorecard view uses polled data for accuracy.
When you select larger time ranges (for example, Previous Month), you can easily surpass the configured data retention rate, which limits the number of columns available for comparison. For more information, see Configure Data Retention Rates.
Configure Group Scorecard Trend Views
Group scorecard trend views include standard view configuration options, such as time filters and context settings. For standard view configuration details, see Customize Views.
On dashboards, scorecards render best in single-column layouts. Scorecards with fewer columns also render well in two-column layouts. Do not use scorecards in three-column layouts.
The following configuration options apply only to scorecard views.
Follow these steps:
  1. (Trend and Custom Scorecard Views Only) Select the number of time intervals.
    Each time interval is one column on the view.
    This setting directly relates to the Time Range setting for the view. The time range for the view determines the length of each time interval. For example, if you select Last 30 days for the Time Range, each interval equals 30 days.
  2. (Custom Scorecard View Only) Configure scorecard projection.
    • Select the number of projections to display.
      Each projection is a column on the view.
    • Select the calculation method for the projection.
    For more information, see Scorecard Projection.
  3. Select the Metric Calculate Level.
    This option determines what level of aggregation each row in the scorecard view represents: a subgroup, a device, or a component.
  4. Specify the thresholds for the status indicators.
    If the value for the metric is at or above the specified value, the status icon in the view 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.
    For metrics where low values are bad and high values are good, set Minor highest and Critical lowest.
  5. Set the results limit.
    This limit determines the number of items included in the data results shown on each page of the scorecard.
    Default:
    10
Scorecard Projection
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Scorecard projections use a customizable set of data points to predict future values for metrics. Projected values are calculated when the view is rendered, and are based on the historical time frame of the view. You can add the projected values to IM Custom View Group Scorecards.
Do not use scorecard projections for error metrics. Each error is a discrete event that is not affected by historical errors.
The scorecard view includes two methods to calculate projections:
  • Approximation
    The Approximation method uses the average from each time frame in the view to calculate the projection values.
    CA Performance Management
    calculates a least squares regression on the averages, then uses the line equation to project future values. This calculation method is faster than the Detailed Data method.
  • Detailed Data
    The Detailed Data method uses the polled data for the entire time frame of the view.
    CA Performance Management
    calculates a least squares regression for the entire set of data points. This calculation is more statistically accurate than the Approximation method, and provides extra columns in the view.
    Detailed data scorecard projections are supported only for gauge metrics (for example, Bits Out - Average Rate). Detailed data scorecard projections are
    not
    supported for counter metrics (for example, Bits Out - Total). Projection values are calculated on the As Polled (rate) data to ensure precision.
    These columns are hidden by default:
    • Slope
      Indicates the slope of the line equation.
    • Intercept
      Indicates the intercept of the line equation.
    • Degrees
      Degrees of freedom, which indicates the sample size.
    • Linear Fit
      Indicates the confidence level of the projected values as related to the sample data.
    • Days to Threshold
      Indicates the projected number of days before the specified critical threshold is reached.