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The rate of data growth worldwide in the past few years has been greater than in the previous two decades. Data is predicted to more than double again over the next few years — reaching 175 zettabytes in 2025, according to IDC.

Most of this data is not structured and includes documents, video, images, instrument and sensor data, text and chats and more. Unstructured data is harder to find, move and manage because it doesn’t live in rows and columns in a database but is dispersed across countless applications and storage locations inside and outside of the enterprise.

The explosion of data and the diversity in data types today is bringing a host of new challenges for enterprise IT departments and data storage professionals. These include escalating storage and backup costs, management complexity, security risks, and an opportunity gap from hindered visibility.

To solve these issues, we need new, smart analytics and metrics. These must go beyond legacy storage metrics, to focus on understanding data and involving application owners and department and business stakeholders in data management decisions. These metrics should also include measures to track and improve energy consumption to meet broader sustainability goals, which are becoming critical in this age of cyclical energy shortages and climate change.  


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