Content Analytics for Legacy Data Retention
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Dayhuff Group has built a solution for analyzing documents for legacy data retention. The solution locates documents that are ready for disposition, or ready for archiving in a managed repository. This slide deck shows highlights my demonstration of the solution.
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Content Analytics for Legacy Data Retention
- 1. Content Analytics The Dayhuff Group IBM Enterprise Content Management Software Connecting Content | Driving Performance
- 2. ICA Use Cases include: • Separation of unstructured information assets associated with an M&A • Consolidation and reduction of dispersed data and storage throughout the enterprise • Proactive in-place records identification & risk management • Proactive litigation & audit support via identification and detailed indexing of large volumes of unstructured content dispersed across an enterprise • Aid in the Classification of Corporate Data – i.e., Executive, Confidential, Internal Only, Public • Data map development 2
- 3. Content Analytics for Legacy Data Retention Content Analytics for Legacy Data Retention is a solution to inventory and locate legacy data requiring retention or disposition The Dayhuff Group has created this solution using IBM Content Analytics tools to perform the heavy lifting of mining legacy information It allows data retention analysts to view and analyze their source content based on familiar concepts such as how the content fits into records series’ within their file plan 3
- 4. Facets – Record Types Documents are automatically analyzed for attributes associated with record types. Facets are displayed showing the categories for the content based on the business’ record types within record series’ 4
- 5. Select documents to Decommission or Declare Analysts can graphically see content that is past it’s retention period available for decommissioning 5
- 6. Flag as Past Retention period Documents are flagged based on their retention requirements identified using ICA and the record type facets Content is then exported to the enterprise content manager and enterprise records manager 6
- 7. Content Analytics for Legacy Data Retention Benefits: • Reduced risk • Increased productivity • Quantifiable and measurable results • Reduced cost • Defensible process for evaluation • Reduction of information through disposition • Reduction of duplicated and old information 7