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McKinsey Mind  Por  arte de portada

McKinsey Mind

De: Ethan M. Rasiel, Paul N. Friga
Narrado por: Marc Cashman
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Resumen del Editor

The groundbreaking follow-up to the international best-selling hands-on guide to putting McKinsey techniques to work in your organization

McKinsey & Company is the most respected and most secretive consulting firm in the world, and business readers just can't seem to get enough of all things McKinsey. Now, hot on the heels of his acclaimed international best seller The McKinsey Way, Ethan Rasiel brings listeners a powerful new guide to putting McKinsey concepts and skills into action­­: The McKinsey Mind. While the first book used case studies and anecdotes from former and current McKinseyites to describe how "the firm" solves the thorniest business problems of their A-list clients, The McKinsey Mind goes a giant step further. It explains, step-by-step, how to use McKinsey tools, techniques, and strategies to solve an array of core business problems and to make any business venture more successful.

Designed to work as a stand-alone guide or together with The McKinsey Way, The McKinsey Mind follows the same critically acclaimed style and format as its predecessor. In this book, authors Rasiel and Friga expand upon the lessons found in The McKinsey Way with real-world examples, parables, and easy-to-do exercises designed to get listeners up and running.

©2002 Ethan Rasiel and Paul Friga (P)2001 McGraw Hill-Ascent Audio

Lo que los oyentes dicen sobre McKinsey Mind

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Very interesting

More applicable the the McKinsey way. Lots of overlap between the two books though. Good listen.

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Good book

It is a good book for consulting in general and professional development. Even though it focuses on McKinsey others can relate.

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just freaking great.

just freaking great. greatness times ten. raised to great. divided by great. then substract that answer from great.

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esto le resultó útil a 1 persona

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    3 out of 5 stars

Mediocre

"In fact there is too much data."

In fact, the data is not driven for widespread human achievement. Data is taken to support niche causes and relational opinion to sell products and occasionally reach a specified ethical result: a medicine is effective.

When in fact, data is not formed to drive widespread human achievement. You didn't want widespread human achievement? Of course. Chinese could be taught in schools if the stupid aren't subsidized and immigration is outside a quality-based widescale implementation. The stupid are given power while the intelligent are so modest that no good decisions are made in the end for a more driven form of exceptionalism to be what consumes the product cycles: the primary point of data collection.

There is one circle of all ideas for data, and that one which you support is the circle which inside holds data for products and services as products.

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