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Speakers: Laurie Fischer, Kevin S. Joerling, & Michael S. McKenna
Today, the majority of an organization's business processes and functions are facilitated or supported by the use of electronic systems. In turn, many of these systems create, manage, and/or store electronic data that is "structured".
"Structured data" typically is created and stored according to a pre-defined data model and fits into relational tables, or can be stored in rows and columns.
Information stored in structured data systems often serves as the official evidence of the business process that the system facilitates. As such, this information needs to meet the retention and disposition requirements defined in the organization's retention schedule. The additional requirements for authentic, reliable and unchangeable records are especially challenging since most structured data systems were designed to store and process dynamic and non-redundant data.
Information Technology departments historically have taken the position that since "storage is cheap" the application of an organization's records retention schedule to structured data was not an efficient use of scarce IT resources.
Today, the volume of information and its legal discoverability present a compelling argument for change.
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