Data Lifecycle Management - A New Approach for Both Structured and Unstructured Information
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    Selena Smeaton
Senior Consultant
The Knowledge Warehouse (Knoware)


Tuesday, May 1, 2012
01:30 PM - 02:20 PM

Level:  Business / Non-Technical

The principles, policies, processes, practices, systems, and tools used by an organization to manage information through every phase of its existence are collectively known as data life-cycle management. This case study will show how a Data Life Cycle Strategy will enable:
  • Access to relevant and authoritative data when it is needed, for as long as is needed, regardless of format, repository, location or system
  • Retention of authoritative business data required to meet business and statutory needs, and dispose of transient data quickly, efficiently and legally
  • Actively managed and reduced risks associated with the creation, use, management, retention, and disposal of data
This high-level strategy is applicable to all of the enterprise data and information, including all data held within shared and personal directories, email inboxes, web-based information including intranets, public websites and social media, paper-based information, and within all information systems and repositories including the electronic document and management system, transactional databases and the data warehouse.

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