Data Error Reduction by Automation throughout the Data Workflow Process

April 5, 2004

Efforts directed at establishing data quality such as data validation review can be rendered meaningless by errors that occur at other steps in the data management workflow process. Errors in field collection are often miss-entered into spreadsheets, data loaded improperly into the data repository, or uploading data to analytic applications are all prime sources of induced data error that can result in poor decision making by managers. This paper addresses the environmental data workflow process, areas susceptible to error induction, and solutions to these problems.


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