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10:32 AM
Jeff Bertolucci, InformationWeek
Jeff Bertolucci, InformationWeek
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10 Big Data Migration Mistakes

Many insurers are making core systems replacements that require data conversion projects. Beware these pitfalls and risks when transferring your data to new computer systems or storage formats.

Transferring data between computer systems or storage formats is never a trivial task, particularly when it involves both structured and unstructured data. The complexity of data-migration jobs means that cost overruns and delays with "go-lives" are all too common, said Arvind Singh, co-founder and CEO of Utopia, a Chicago-based enterprise data solutions provider.

In a phone interview with InformationWeek, Singh outlined 10 common data-migration problems--five pitfalls and five risks--that enterprises should strive to avoid.

Pitfall #1: Failing to engage the lines of business and business users at the outset.

When companies integrate or consolidate multiple systems into one--often after a business merger--they need to identify the right business uses at the outset.

"You need to identify who knows and understands the business data," said Singh. "Who's the subject matter expert in your business? It's certainly not IT or the systems integrator."

In other words, bring the people who'll be using the data into the migration project. After all, they'll be the ones operating the system once it goes live.

Read the rest of this article on InformationWeek.

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