CHAPTER 2: What’s in it for me?

Bad data is an equal opportunity peril, adding cost, making it more difficult to run things, and compromising decisions. It angers customers, adds risk that those interesting insights discovered by an analytics effort aren’t so, and generally stymies any effort that depends on data. Still, most people must develop a deeper understanding of how they, their work teams, departments, and companies are directly affected before they get involved. This chapter helps do just that, outlining exercises to baseline current quality levels, estimate costs, and synthesize an overall motivation or justification. Just as important, ...

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