The Pressing Need for More Intelligent Data Management

Michael Vizard

Learn first-hand how leading technology providers are developing midmarket technologies to solve key business and strategic challenges.

With everybody complaining about the rapid growth in the amount of data to be managed and the general limitations of the 2010 IT budget, finding a more intelligent approach to managing data has never been more paramount.

And yet, a recent survey of midmarket IT executives conducted by IT Business Edge found that only about half the executives surveyed were putting more emphasis on data management and governance. Depending on your perspective, that means that the data-management glass is half full or half empty.

Obviously, IT organizations are spending more money on data deduplication to cut the amount of data that needs to be managed. But even with the reduction in data afforded by data deduplication, IT organizations will have to spend a lot more time prioritizing their data, says Steve Rodin, CEO of Storagepipe Solutions, a provider of backup and recovery services that leverages technology from IBM.

Rodin notes that a lot of companies can't back up their data these days within a 24-hour window. That means they need to prioritize data to determine not only what to back up first and most often, but also what to recover in the event of a crisis. That's especially important as we move and store more data across thin pipes to the cloud. Unfortunately, far too many IT organizations treat all data equally.

Managing the lifecycle of information increasingly is becoming a central job of enterprise IT. Unfortunately, there are not a lot of tools for automating this process, so managing data involves a lot of tedious, manual IT labor. But like most hard work, the need for more intelligent approaches to managing data should yield some creative solutions. IT Business Edge's Loraine Lawson just wrote about one from DataFlux.

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