Digital detox: Practical ways to clean up ROT

Joining me on Digital detox: Practical ways to clean up ROT were panelists Chantel Johnson, VP, Chief Data Office at Bank of China, and Steve Matthews, Client Principal, Professional Services at Iron Mountain. We tackled everything from the risks and challenges associated with modern data management to tested strategies for effectively cleaning up and managing redundant, obsolete, and trivial (ROT) data. Our experts shared valuable insights on how to handle this high-stakes task, including:

• Understanding what ROT data is and its risks
• The process of cleaning up ROT data, including the tools and resources needed
• The importance of ongoing management and oversight of data 

What is ROT data, and why is it risky?

Organisations are grappling with exponential data growth, creating more volume challenges, storage costs, and risk exposure than they did with paper records. A significant portion of that data—whether structured or unstructured—is often redundant, obsolete, and trivial. ROT data can be identified by its lack of business value and covers a broad range of digital excess, from personal vacation photos to data that has met retention requirements.