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Accuracy v ersus Cost - Data Quality Management

Evolver offers a methodology for optimal balance between cost, accuracy, and schedule in data collection, enhancing decisions and minimizing risk. Improve data quality with scalable models for various operations.

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Accuracy v ersus Cost - Data Quality Management

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  1. Accuracy versus Cost - Data Quality Management Problem: Many organizations still use paper-based data collection processes. Accurately capturing critical data from applications, questionnaires, or forms can be challenging and expensive. Especially when data includes handwriting and the responses are international or cyclical. Solution: Evolver has developed a data quality methodology that provides managers the ability to determine the optimal balance, and inter-dependencies, between sample size, cost, accuracy, and schedule. Outcome chart • Outcomes: • Precise estimations of resource requirements, cost, schedule, and output accuracy. • Scalable model to accommodate variety of data capture operations. • Better data. Better decisions. Lower risk. Now That’s Progress. That’s Evolver.

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