PERFORMANCE DATA FOR BENCHMARKING

"You can't
control what
you can't
measure."

Continual assessment of process efficiency also requires a continuous flow of appropriately processed key data, verified for plausibility, on the condition and performance within the processes.
The development of this key data over time permits future development to be forecast and acts as a control instrument.

The amount of key data produced is to be limited and assigned to individual layers of the hierarchy.

Benchmarking has proved to be a reliable management instrument for learning from the results and performance of leading companies.

A benchmarking study consists of four phases:

Data survey
Process the data to be collected, create transparency concerning business processes

Evaluation
Ensure data is plausible so that it can be compared with other companies, identify differences in costs, quality and performance in relation to other companies, identify potential improvements

Analysis
Analyze and interpret points of divergence, quantify potential improvements, highlight "best practice"

Implementation
Incorporate "best practice" into existing work procedures

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THERMOGRAPHY
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