Get Data Directly from the Source

The accuracy and subsequently the trustworthiness of organizational performance measures is founded on the quality of their underlying data. While performance measures are uniquely sensitive to changes in data, even the smallest error in data accuracy undermines a metric’s credibility if not its output. Therefore, emphasis must be placed on maximizing data accuracy.

Data accuracy is enhanced by minimizing the ‘distance’ it travels from creation to report. Reducing this ‘distance’ typically involves the removal of manual and automated data transfers and manipulations; each of which represents an error introduction opportunity. Thus, data gathered directly from the source creating it is less likely to contain errors. For data not collected at its source, the likelihood of error introduction can be minimized by:

1. automating data collection
2. eliminating manual transference of data between systems by automating these processes
3. minimizing the number of systems data is transferred between collection and report development
4. rigorously testing system interfaces that support data transfer and calculation
5. rigorously testing final reports from data input to indicated performance prior to placing them into service/production
6. routinely testing the accuracy of initial data collection
7. when possible, validating data gathered using an independent, redundant source
8. creating system generated notifications when data transfer errors occur

Enterprise Performance Measurement

We can work with you to assess and improve your performance measurement system; yielding metrics and reports that are operationally relevant, organizationally consistent, and economically implemented. The resulting system helps improve managerial decision-making, organizational alignment, and individual accountability. Learn more about how we can support your implementation and upgrade efforts or contact us for a personal consultation.