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.


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Predefined and Reinforced Data Standards

You’ve heard it a million times, “garbage in, garbage out.” But this axiom couldn’t be more true than in the case of organizational performance measures where in so many instances even a minute change in the data entered results in a profoundly different indicated performance. So how can an organization’s leaders be confident in the accuracy of their performance measurement data and the resulting measures? By defining and reinforcing a comprehensive set of organizational performance measure data standards.


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Source Data Manipulation

All organizational performance measurement systems rely foundationally on their source data. And like a house built on sand, these performance measurement systems fail if their source data becomes corrupt.


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One Change at a Time

An organization's performance and the environment in which it operates change dynamically. Subsequently, most measures reflecting these performance variables are also dynamic; challenging analysts to interpret historical and predict future movement.


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Documenting Performance Measure Drivers

Organizational performance measures help leaders drive behaviors, trigger actions, and create alignment. In addition to providing timely decision-making information, performance measures serve as mechanisms to quickly communicate results-based performance information throughout the organization.


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