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Attrition analytics - A markov analysis attempt for attrition-rate prediction and stabilization
 
 

Abstract
In a competitive arena, the advantage is taken by the first-mover – and for an environment where Seth and Sisodia’s The Rule-Of-Three predominates, it is not just the first mover, but the fast -mover who has it all.

Every organisation, no matter how stable its quality and people processes, are bound to fall prey to the silent warfare of the fast-movers – which I would prefer to call Corporate SitzKrieg and Hertzberg’s “Satisfiers” are today’s HR nightmare – because nothing seems to work! Thus today, HR as a strategic partner in any organisation has lots to do in terms of metrics, HR analytics, prediction of trends and quantifying Human Capital measures. Since attrition is one of the main problems for any organisation struggling to retain its expertise and knowledge base, an analytical approach to the same would also help in prediction and necessary remedies.

This paper aims to draw on the recent HR trend of referring to the employee as an “internal customer” and therefore assumes that manpower attrition is similar to customer switching problems in case of products, thus has used Markov Analysis as an Operations Research technique to predict attrition, and therefore form a basis for manpower planning.

This white paper is aimed at a greater scope of having more thought provoking ideas in the HR Analytics arena and within its limited scope here, suggests an OR model as part of manpower inventory planning in general.

Author
Suvro Raychaudhuri

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