Most people think cleaning up ROT data is a storage project.
It’s not. It’s a financial multiplier.
Let me walk you through what I call the Daisy Chain Effect: one initiative that pays off in three places at once.
Saving #1: Primary Storage
Less data means fewer terabytes to provision, manage, and pay for, whether on-prem or in the cloud. Obvious. But it’s just the beginning.
Saving #2: Backup Storage
Here’s the one most people miss. Your backup costs scale directly with your data volume. If 30–40% of your data is ROT, you’re backing it up religiously: every night, to multiple copies, often across multiple tiers.
Think about what that means. A 100TB environment carrying 35TB of ROT data is paying to protect 35TB of junk. Nightly. At typical enterprise backup rates, that’s significant unnecessary cost every year, spent on files nobody needs, that should have been gone long ago. Clean the source and your backup footprint shrinks — immediately and permanently.
Saving #3: AI Efficiency
This is the new one, and increasingly the most valuable. When your AI stops reasoning over noise, it gives better answers. Better answers drive adoption. Adoption drives ROI on the $30/user/month you already paid to add Microsoft 365 Copilot, the version that connects to your corporate data in SharePoint, Teams, and Outlook.
One initiative. Three compounding returns.
And that’s before you factor in compliance risk reduced, attack surface shrunk, and IT overhead eliminated.
The CFO question used to be: “Why should we invest in data hygiene?”
The new question is: “Why haven’t we already?”
What’s your organization’s biggest barrier to tackling this?
