Does Not Compute
Routine decisions tend to be the best candidates for automation. "It frees up your people to do more sophisticated kinds of thinking and higher- level exercises, and allows you to put your resources in places that are going to provide you more value," says Leslee Gault, president of Teradata, a division of NCR Corp., a technology company based in Dayton, Ohio.
Decision automation is less effective if:
- There isn't enough reliable data.
- The criteria aren't clearly defined and quantified.
- The decision isn't made often enough to warrant the investment.
- People don't trust that the decision can be reduced to a formula.
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