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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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Measurement of observable variables has always been as much an art as it is a science. How, when, where, and with what we measure observables highly influences the values derived.
The benefits of vertically cascaded and horizontally shared performance measures are maximized when the related measures share a common set of characteristics. Common construction of vertically cascaded measures enables easy roll-up of lower tiered measures to create higher tiered benchmarks.
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