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A Well-Oiled Machine

Project cost overruns. Implementation delays. Processing problems, such as missing billing statements, late commission payments, wrong policy information. These are just some of the ...

By Michael P. Voelker | Updated on October 31, 2005

Project cost overruns. Implementation delays. Processing problems, such as missing billing statements, late commission payments, wrong policy information. These are just some of the risks insurers run when undertaking a data conversion project, and unfortunately, there are many ways data conversion can go awry.

“There’s a lot of dirty work that needs to be involved in going into the data, cleaning it up, and doing the mapping between the current and target format,” says Todd Eyler, vice president in the insurance sector at Gartner. “Most of the [data conversion] problems and costs come in those areas.”

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