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Automating Data Quality Control Workflows with ArcGIS Workflow Manager and Data Reviewer

Learn about integrating ArcGIS Workflow Manager and Data Reviewer to automate data quality control workflows efficiently. Discover how to plan, create, execute, manage, and improve validation workflows, ensuring high-quality GIS data. Explore automated validation implementation, quality requirements, and rule-based checks for different GIS data issues. Dive into authoring reviewer checks, custom steps, reviewer batch jobs, and workflows summary for enhanced productivity and cost-effectiveness.

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Automating Data Quality Control Workflows with ArcGIS Workflow Manager and Data Reviewer

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  1. IntegratingData Reviewer and Workflow Managerto Automate Data Quality Control Workflows Jay Cary

  2. Demo Theater Overview • Introduction to • ArcGIS Workflow Manager • ArcGIS Data Reviewer • Automated validation • Validation workflow • Demo: Execution of Reviewer Batch Job using WMX

  3. What is ArcGIS Workflow Manager? A framework for continuous process improvement Allows users to: Plan and create workflows efficiently Execute and manage standardized workflows Evaluate and improve performance continuously Plan & Create Evaluate & Improve Execute & Manage

  4. What is ArcGIS Data Reviewer? • System to support data quality management for ArcGIS • Automates quality control process • Monitor and Measure data quality Monitor Summarize Validate

  5. Automated Validation Implementation workflow • Identify Quality Requirements Training and experience Industry standards / Specifications Quality assurance plans Subject matter experts • Configure as Rule-based Checks

  6. Automated Data Validation Different Type of Issues in GIS Data Attribution Feature Integrity Spatial Relations Metadata http://j.mp/DRCheckPoster104

  7. Automated Validation Implementation workflow • Identify Quality Requirements Training and experience Industry standards / Specifications Quality assurance plans Subject matter experts • Configure as Rule-based Checks • Author Reviewer Batch Job

  8. Demo Scenario • Background • The organization has implementing process improvements to streamline operations, increase productivity and reduce costs. • Goals • Standardize practices • Improve productivity • Reduce costs • Improve quality * • Increase transparency *

  9. Authoring Reviewer checks

  10. Workflow Manager Integration Reviewer Custom Steps • Create Reviewer Session • Run Reviewer Batch Job • Provide • Return codes for branching • Configurable messaging • Detailed logging • Desktop/Server execution Token • StartSession • Used with Launch ArcMap step

  11. Validation Workflows

  12. Summary • Introduced • Workflow Manager • Data Reviewer • Discussed automated validation • Highlighted integration of • automated validation into Workflow Manager jobs • job status and error reporting in custom dashboard • Implemented desktop and server workflows

  13. Questions?

  14. Want to learn more this week? New

  15. Want to learn more? • Product pages www.esri.com/ workflowmanager datareviewer

  16. Want to learn more? • Product pages www.esri.com/ • Documentation • desktop.arcgis.com • server.arcgis.com workflowmanager datareviewer

  17. Want to learn more? • Product pages www.esri.com/ • Documentation • desktop.arcgis.com • server.arcgis.com • Training • www.esri.com/training workflowmanager datareviewer

  18. Want to learn more? • Product pages www.esri.com/ • Documentation • desktop.arcgis.com • server.arcgis.com • Training • www.esri.com/training • GeoNet(geonet.esri.com) • Data Reviewer • Workflow Manager workflowmanager datareviewer

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