Defensibly managing & removing ROT is important because it:
AutoClassification automatically identifies, classifies and removes unnecessary files based on: relevant content (keywords) or lack of relevant content (spam), exact copies (duplicates) and versions (near duplicates) and by file type (temp files) and file size (0 byte files).
5 Steps to Managing ROT with AutoClassification:
Scan and locate content from disparate data sources across the entire business: from emails and embedded attachments to shared drives, repositories, ECMs, and cloud storage environments.
Determine what’s ROT and what’s not — exact duplicates, near duplicates, temp files, junk mail, out-of-office emails. Machine-learning algorithms learn as it goes and will auto-identify content considered ROT.
3) Analyze it. Know where it is & what it is to make better business decisions.
Uncover your risk by knowing where your ROT is and what your ROT is. Real-time reports help organizations better understand the actual cost of storing unnecessary data to determine ways to cut storage costs.
Automatically classify files by content, apply metadata and automate rules for defensibly handling ROT. Establish schedules that scan repositories and determine outcomes for ROT across the enterprise.
Catch it and act on it before it becomes unwieldy again. Constantly monitor and audit data environments for new and edited content and automatically apply appropriate rules and workflows to move, archive, sequester or delete ROT on an ongoing basis – with no system downtime.
CASE STUDIES
See how other enterprises used AutoClassification to locate and manage ROT:
• Addressing GDPR and CCPA with AutoClassification
• Constructing a "Virtual Vault" for Legal Contracts
WEBINARS
View our on-demand webinars on ROT best practices:
• Managing ROT & Migration with AutoClassification
• What is AutoClassification & Why Should I Care?