Pitfalls of using McKinsey Matrix

Strategic Portfolio Management (McKinsey Matrix)
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Robert Korsloot
Director, Netherlands

Pitfalls of using McKinsey Matrix

Beware of the stereotypical pitfall: often the outcomes of these kind of portfolio management models / methods are based on assumptions rather than facts. Models as well as their inputs variables should be validated beforehand. In particular be sure to convince any user of the necessity of data quality during each phase of the assessment process.
To often I see lack of awareness as it comes to reliability of the assessment process or data used during that process.
Although business assessment array is a very useful and generally appropriate method, quantification of both input and output values is a prerequisite for applicable results. So, everybody, stretch out to obtain measurable facts, choose for reliable quantification methods, validated models. Then you may expect useful outcomes.

  Jaap de Jonge
Editor, Netherlands

Pitfalls of Applying Portfolio Matrices

I agree care should be taken to generate sufficien (...)

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