Page 109 - The McKinsey Mind
P. 109

04 (083-102B) chapter 4  1/29/02  4:50 PM  Page 84






                               84                                               The McKinsey Mind


                               those facts to generate insights that will add value to your organi-
                               zation. All the multimegabyte spreadsheets and three-dimensional
                               animated pie charts in the world don’t mean anything unless some-
                               one can figure out the actions implied by these analyses and their
                               value to the organization. McKinsey’s consultants realize that
                               clients don’t, at the end of the day, pay for fancy documents and
                               pretty slide shows. They pay for advice that will add value to their
                               businesses; this is the end product of the consulting process and, by
                               extension, of business problem solving in general. As Jeff Sak-
                               aguchi, who has moved from McKinsey to rival consulting firm
                               Accenture, recalls:

                                   It’s not just about research and analysis; it’s research, analy-
                                   sis, and insight development. McKinsey focused on generat-
                                   ing insights, specifically insights that had great client impact.
                                   I take pride, since I’ve joined Accenture, in having restruc-
                                   tured some of our training for strategy consultants to drive
                                   home that mentality in our teams and really make it an
                                   explicit part of our performance evaluation process for
                                   consultants.

                                   In this chapter, we will show you how McKinsey-ites draw
                               conclusions from their analyses and turn them into useful recom-
                               mendations for their clients, and how you can do the same in your
                               company. We divide analysis interpretation into two parts. First
                               comes the process of understanding the data: piecing together (in
                               your own mind or within the confines of your team) the story the
                               data are telling you and the steps you should take based on that
                               story. Second comes assembling your findings into an externally
                               directed end product: a course of action for your organization or
                               client.
   104   105   106   107   108   109   110   111   112   113   114