TRUSTED DATA REFINERY
ROT Elimination
Identify and eliminate Redundant, Obsolete, and Trivial data that creates massive cost, risk, and AI performance problems using Trusted Data Refinery.
Identifying and Removing Redundant, Obsolete, and Trivial Data
Up to 60% of Dark Data is ROT. Redundant, Obsolete, and Trivial data creates a massive swamp of risk and compute costs that are overwhelming CIO budgets. ROT data is costly to store, invisible to AI, and unusable for intelligent automation — but it doesn't have to be that way. Trusted Data Refinery has the solution.
The ROT Problem
ROT data doesn't just sit there harmlessly. It actively harms your organization by consuming storage resources, increasing backup and recovery costs, slowing search and analytics, creating compliance exposure, and contaminating AI outputs. Every query that touches ROT wastes compute resources and returns noise instead of signal.
Data Reader: Detection at Scale
Data Reader scans 8 million files per hour, that's one billion files per week, examining file details such as file name, type, size, and creation and modification dates. This massive-scale scanning identifies candidates for ROT classification without moving or exposing the data, maintaining data integrity while building complete visibility.
Data Identifier: Classification and Enrichment
Data Identifier's classification process actively finds duplicates and classifies ROT data. It enriches this analysis with ownership information through Active Directory integration, so when a file is classified as ROT, the system knows exactly who the owner is, facilitating targeted campaigns to clean up the storage environment.
Smart Stack: Policy-Based Action
Smart Stack provides Optimized Retention Policy Routing Instructions based on the organization's Policy, Compliance, Utilization, and Security demands. ROT data is identified, classified, and routed to appropriate disposition, whether that's deletion, archival, or legal hold. By aligning actions with organizational demands, Smart Stack empowers informed decisions and mitigated risk.
Measurable Impact
Organizations that eliminate ROT with Trusted Data Refinery see immediate benefits: reduced storage costs, faster queries, better AI outputs, and lower compliance risk. By addressing ROT at scale, Trusted Data Refinery transforms a liability into an opportunity for AI readiness.
Key Benefits
- 60%+ Data Reduction: Eliminate the majority of your data estate that provides no value.
- Cost Savings: Reduce storage, compute, and licensing costs immediately.
- Better AI: High-signal Trusted Data Collections produce high-quality AI outputs.
- Lower Risk: Less data means less exposure in litigation and compliance.
Conclusion
ROT is the foundation of your Dark Data problem. By eliminating it, Trusted Data Refinery transforms your data economics and AI effectiveness simultaneously.
