Archive for Evaluation & Control Program

Radical Recovery Tools

How to survive and thrive in a down economy You can’t turn on a television, open a paper or read a news feed today without hearing more depressing news about the economy. The crisis that started in the housing markets has unearthed a series of cascading consequences that few companies were prepared to handle. How [...]

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Lost in Translation

Increase the impact of customer insights and analytics. How to break down the barriers between the analytics community and the business. Data is omnipresent and within our grasp yet business truths are still elusive. Finding meaning in that data requires sifting through droves of extraneous information for business insight. It means distilling raw information into [...]

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Evaluation and Control Program Best Practice 2 – Measure Against Excellence

In this hyper-competitive business world there are no points for second place. Companies not achieving excellence in key performance areas as defined by their chosen market often find themselves driven to irrelevancy by competitors and in danger of going out of business. Subsequently, organization leaders must know how their company performs against standards of excellence [...]

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StrategyDriven Podcast Special Edition 38 – An Interview with Robert Morison, co-author of Analytics at Work

StrategyDriven Podcasts focus on the tools and techniques executives and managers can use to improve their organization’s alignment and accountability to ultimately achieve superior results. These podcasts elaborate on the best practice and warning flag articles on the StrategyDriven website. Special Edition 38 – An Interview with Robert Morison, co-author of Analytics at Work explores [...]

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Evaluation and Control Warning Flag 1 – The Illusion of Accuracy

“Measure with a micrometer, mark with a crayon, and cut with a chainsaw” Author Unknown Evaluation and control programs provide executives and managers with the critical information they need to make effective business decisions. However, an equally critical component of the decision-making process is the understanding that no data-set is a perfect reflection of reality. [...]

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