The following predictive key performance indicators examples illustrate the conversion of traditional KPI historical reporting to a predictive performance measurement report-out. The links below describe the details of converting dashboards that organizations are currently using to predictive performance reporting.
The importance of this form of reporting is highlighted in the article “Gartner Says Organizations Using Predictive Business Performance Metrics Will Increase Their Profitability 20 Percent by 2017.” The described predictive analytics techniques apply to the reporting of key performance indicators (KPIs) and other time-series process measurements throughout an organization.
Predictive Key Performance Indicators Examples
Subdivided below are categorical types of traditional dashboard and KPI reporting. Links in the subdivisions provide application examples for the report-out-type category. Each of these illustrations provide insight to how an Integrated Enterprise Excellence (IEE) 30,000-foot-level report-out methodology provides additional insight to the action, if any, that should be undertaken to enhance a process’ performance via this predictive analytics approach.
The links to these predictive key performance indicators examples are to past Integrated Enterprise Excellence (IEE) Business Process Management (BPM) blog posts. Interested readers may want to subscribe to this blog for timely awareness of additional examples and information on predictive analytics.
With a predictive KPI reporting approach, it would not be unlike looking out the windshield of an automobile when making decisions relative to applying the brakes or turning the steering wheel; i.e., not unlike making decisions to improve a process.
This approach to predictive analytics data presentation provides more benefit than giving focus to historical data that is not examined as though it were the response from a process. This is not unlike driving an automobile by looking at the rear view mirror, which can lead to unintended consequences.
Table of Numbers Transition to Predictive KPI Reporting Examples
- Transitioning an executive table of numbers dashboard to predictive KPI metric reporting.
- Improving tabular reporting of wastage to predictive performance reporting.
- Improving a table report-out of overall equipment effectiveness (OEE) with prediction KPI report-out.
Stoplight Scorecard Reporting Transition to Predictive KPI Reporting Examples via its Predictive Analytics Technique
- Eliminating red-yellow-green scorecard firefighting with predictive performance measurement reporting.
Time Series Plot Transition to Predictive KPI Reporting Examples
- Converting several time series plots to predictive performance reporting for several KPIs.
- Illustrating the benefits of reporting service delivery using a 30,000-foot-level predictive reporting system versus a traditional time-series plot.
- Transitioning from yearly time-series reporting to process-based-response reporting is described, with benefits, using an electrical transmissions outage case study.
- Transitioning multiple annual on-time delivery reporting to a predictive process performance statement
Business System Application for Predictive Analytics Scorecards
Predictive performance metric reporting addresses one of the challenges that executives have, as described in the article Executive Challenges and Resolution.
Organizations benefit when they use a predictive performance metric system within an enhanced business management system implementation.
Integrated Enterprise Excellence (IEE) Business Management System with its Predictive Analytics Framework
Integrated Enterprise Excellence (IEE) Business Management System provides a predictive analytics framework for addressing the traditional scorecard and business improvement issues described in a 1-minute video:
An overview of the IEE is provided in the article “Positive Metrics, Poor Business Performance: How Does this Happen?”
Contact Us to set up a time to discuss with Forrest Breyfogle how your organization might gain much from an Integrated Enterprise Excellence (IEE) Business Process Management System and its 30,000-foot-level predictive analytics scorecard methodology.