Data sprawl refers to the uncontrollable spread of data across various organizational systems and platforms, including on-premises infrastructure and cloud services. As organizations embrace cloud technology, independent teams generate unstructured data, complicating management efforts. Tim Nelms underscores that unstructured content accounts for 80% of corporate data, while Tom van Aardt emphasizes that without central oversight, organizations face fragmented data landscapes, security risks, and inefficiencies. This has been further exacerbated by recent shifts towards AI and advanced analytics, leading to more duplicated and poorly organized data.
Organizations face significant challenges due to data sprawl and content sprawl, which result from unstructured data proliferation and cloud services adoption without proper governance.
Rapid adoption of cloud services has led to independent generation and storage of data by various teams, resulting in a fragmented data landscape and increased operational risks.
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