SolutionsFeatured Content
Stay Connected with Us |
Every-Person AnalyticsMany KPI metrics, which represent outcomes, are calculated from core metrics. For actionable information, you need to know how the KPI was calculated and the status of the underlying components, since these tend to be Key Performance Drivers or KPD metrics and hence are more actionable. myDIALS uses the contextual drill-tree to expand a dial by drivers and provides the expression, as well as the underlying metrics. Just as when drilling by a dimension, you can continue to obtain further detail by selecting another dial, and expanding either by a relevant dimension or by that dial's drivers. For example, the user could select the Availability dial shown above and drill into it by the drivers to see components that make up availability, such as scheduled and unscheduled downtime as a factor of available time during the period. Another element of analyzing an issue is to characterize it:
Examining trends, forecasts, and control charts quickly shows whether an issue is an abnormality or an ongoing problem. myDIALS uses multiple statistical algorithms to compute trend lines including linear regression, moving averages, and polynomials. When projecting forecasts, the forecast trendline can be shown with or without error ranges. A Pareto chart can highlight areas contributing most to the problem, while metric correlations can be viewed in a scatter chart. Control charts can be used to show the variance from the mean and 1, 2, or 3 standard deviations from the mean can be used for triggering alerts. Multiple types of Variance analysis is used to identify the major contributors to a deviation from a desired, previous or reference value. Combining this level of analytics with the ease-of-use inherent in myDIALS ensures everyone can take advantage of analyses that until now has typically been reserved for a small number of business analysts. To help you make the right decisions, myDIALS also provides powerful What-if scenario modeling. |