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CHAPTER<br />

2<br />

The Virtuous Cycle<br />

of Data Mining<br />

In the first part of the nineteenth century, textile mills were the industrial success<br />

stories. These mills sprang up in the growing towns and cities along rivers<br />

in England and New England to harness hydropower. Water, running over<br />

water wheels, drove spinning, knitting, and weaving machines. For a century,<br />

the symbol of the industrial revolution was water driving textile machines.<br />

The business world has changed. Old mill towns are now quaint historical<br />

curiosities. Long mill buildings alongside rivers are warehouses, shopping<br />

malls, artist studios and computer companies. Even manufacturing companies<br />

often provide more value in services than in goods. We were struck by an ad<br />

campaign by a leading international cement manufacturer, Cemex, that presented<br />

concrete as a service. Instead of focusing on the quality of cement, its<br />

price, or availability, the ad pictured a bridge over a river and sold the idea that<br />

“cement” is a service that connects people by building bridges between them.<br />

Concrete as a service? A very modern idea.<br />

Access to electrical or mechanical power is no longer the criterion for success.<br />

For mass-market products, data about customer interactions is the new<br />

waterpower; knowledge drives the turbines of the service economy and, since<br />

the line between service and manufacturing is getting blurry, much of the<br />

manufacturing economy as well. Information from data focuses marketing<br />

efforts by segmenting customers, improves product designs by addressing<br />

real customer needs, and improves allocation of resources by understanding<br />

and predicting customer preferences.<br />

21

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