New training available: Data QC with ArcGIS

[KathleenOjo]

Automated data checks help organizations efficiently detect errors and ensure that data adheres to business rules and quality standards. As users of spell-check programs know, however, some errors cannot be detected by automated methods. In this course, you will learn visual review techniques to supplement automated data checks. This second layer of quality control is essential to ensure the accuracy of mission-critical GIS data and all the products derived from that data. Learn how to:

• Identify scenarios when a visual data review is appropriate.
• Generate a statistically significant random sample of your data for review and analysis.
• Create a polygon grid to guide a systematic visual review of feature geometry.
• Indicate missing, misplaced, miscoded, or redundant features.
• Inspect versioned data and identify differences between versions.

Check it out today!

Data QC with ArcGIS: Visual Review

http://training.esri.com/gateway/index.cfm?fa=catalog.webCourseDetail&courseid=2886

If you found this course helpful, you may also enjoy the following complementary course. This course teaches automated workflows to ensure data adheres to your organization's quality standards. You will learn about the three phases of the quality control life cycle and techniques to validate data consistently and efficiently.

Data QC: Automating Validation

http://training.esri.com/gateway/index.cfm?fa=catalog.webCourseDetail&courseid=2687