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Abstract
Data Quality, Letting Data Speak for Itself within the Enterprise Data Strategy
Developed by the Collaboration and Transformation Shared Interest Group
Date Released: September 2015
Data quality and information management across the enterprise is challenging. Today’s information systems consist of multiple, interdependent platforms that are interfaced across the enterprise. Each of these systems and the business processes they support often use and define the same piece of data differently. How the information is used across the enterprise becomes a critical part of the equation when managing data quality.
Letting the data speak for itself is the process of analyzing how the data and information is used across the enterprise, providing details on how the data is defined, what systems and processes are responsible for authoring and maintaining the data, and how the information is used to support the agency, and what needs to be done to support data quality and governance. This information also plays a critical role in the agency’s capacity to meet the requirements of the DATA Act.
