Over half of IT leaders recognize that dark data hampers transformation and creates risk, yet dark data remains a persistent challenge – even as the focus on data-driven strategies intensifies. Ironically, many of the enterprise platforms and applications meant to boost efficiency often generate new, unexpected caches of dark data. It’s time to discover dark, unstructured data and bring it into the light.
In a recent article for Forbes Tech Council, DryvIQ CEO Sean Nathaniel discusses the importance of dark data management. By understanding where your data is accumulating and how users are interacting with it, you can enhance your data security, ensure compliance, and support data-driven innovation.
“The data we know about can be overwhelming, and the thought of the unknown—dark data—can be debilitating. But remember, knowledge is power.”
The article covers actionable steps enterprise organizations can take to continuously discover, organize, and secure their dark data, including:
- Conduct A Data Audit: Take an audit of all of the repositories and line-of-business applications that process and manage unstructured data within your organization.
- Discover What’s Vulnerable & What’s Valuable: Use an AI-driven data management platform to scan and analyze your data repositories and systems.
- Intelligently Automate Data Management: Continually automate data quality actions to prevent dark data from accumulating and ensure your content is appropriately managed throughout its entire lifecycle.
- Involve Users In Data Management Practices: While automation is critical for streamlining processes, user participation is vital in content disposition. This collaboration between automation and human oversight enhances the accuracy of your data management process and ensures the highest data quality.
Read the full article to learn more about how your growing number of data repositories and line-of-business applications may be contributing to your dark data problem – and how to bring this data out of the shadows for improved security and efficiency.
