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.

Data Error Reduction By Automation Throughout The Data Workflow Process
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Data Workflow

EQuIS Data Processor (EDP)™
and Enterprise EDP provide workflow automation for Electronic Data Deliverable (EDD) checks and submissions.

EDP is the most widely used EDD checker in the world. EQuIS Data Gathering Engine (EDGE)™ and EDP manage multiple field and lab EDD formats, collecting data from dataloggers, tablets, laptops, or PDAs.

Plan ahead with EQuIS Sample Planning Module (SPM)™ and easily assign contracts, methods and labs before field activities -- and/or incorporate a Completeness Report for scheduled analyses.

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Build – Serve – Push Graphics and Reports

Build - Access standard and GIS reports in EZView™, create reports as you need them, and preview and export your data.

Serve - Create Pick Reports for your team members, so they can generate reports as they're needed.

Push - Monitor incoming data with Environmental Information Agents (EIA™), watch for triggers or specific dates, and generate email reports for posting to dashboards.

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