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Content Analytics

The Dayhuff Group
IBM Enterprise Content Management Software




                            Connecting Content | Driving Performance
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
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
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
Select documents to Decommission or Declare




 Analysts can graphically see content
 that is past it’s retention period
 available for decommissioning




                                          5
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
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

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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