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What is Data Sprawl?

Da·ta / sprawl

Data sprawl refers to an organization’s de-centralized and distributed data across a vast digital environment. Some significant issues of data sprawl include: increased risk exposure, general communication challenges among teams, and a general lack of understanding of what’s included in your overall data estate. 

As your organization continues to use new tools and applications, data is stored in non-integrated silos, accelerating the disorganization and decentralization of your data assets. There are several helpful tips for improving this situation, and standardizing your data to give your organization a non-fragmented and complete view of the data landscape.

Here Are Five Easy Ways to Reduce Data Sprawl:

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