Every day, you make decisions based on the assumption that your GIS data is complete and accurate. The positional accuracy of this data is an important aspect in determining its fitness for use. The Data Reviewer team is pleased to announce the release of a new FREE training seminar that highlights how to identify spatial data that does not meet your requirements for positional accuracy.
The Data Reviewer team is pleased to announce the release of two new widgets – Report Feature and Reviewer Dashboard – for the Web AppBuilder for ArcGIS v1.2 Developer Edition. The widgets leverage services found in ArcGIS Data Reviewer for Server that support implementation of a holistic data quality management capability. Continue reading
If you are an electric/gas user who missed signing up for a GIS data health check at the UC 2015, you’ll be glad to hear that Esri is offering this at the Electric & Gas GIS Conference in Providence, RI, Oct 5-8.
A GIS data health check session is where an Esri electric/gas industry expert will review and analyze a geographic subset of your data (features and attributes) by running a number of data validation checks using the ArcGIS Data Reviewer extension for data quality management. Any findings will be shared with you along with reports showing percent accuracy. Continue reading
With only a week left for the 2015 Esri User Conference, we wanted to post a quick reminder that there are still a few open spots if you’re interested in signing up for the free data health checks. Continue reading
When your organization depends on geographic information system for its day-to-day operation, data errors can introduce unacceptable risk and unplanned costs.
Beginning at the 2011 Esri International User Conference in San Diego, Esri provided customers an opportunity to see just how clean their data really is. Since then, the Data Health Checks, as they are called, have become a staple service at every User Conference. Continue reading
ArcGIS Data Reviewer is an extension to ArcGIS for Desktop and ArcGIS for Server that enables you to centrally manage the quality control (QC) life cycle—reviewing, correcting, and verifying errors—thereby eliminating paper trails associated with traditional QC processes. Esri recently released the Managing Data Reviewer Records for ArcGIS 10.3 template, which includes two Python scripts – Copy Data Reviewer Records and Export Data Reviewer Records to Shapefile. Both scripts were developed in response to customer requests for additional ways to manage and share quality information. Specifically, the scripts facilitate workflows for managing large numbers of records in an automated way and sharing error information with others who do not have Data Reviewer.
If you are an electric/gas user and missed signing up for a GIS data health check at the UC 2014, you’ll be glad to hear that Esri is offering this at the Electric and Gas GIS Conference in Memphis, TN, Oct 26-29. A GIS data health check session is where an Esri electric/gas industry expert will review and analyze a geographic subset of your data (features and attributes) by running a number of data validation checks using the ArcGIS Data Reviewer extension for data quality management. Any findings will be shared with you along with reports showing percent accuracy. The health checks will be conducted in the Esri exhibit area during the times when the showcase is open. To schedule an appointment, e-mail email@example.com with your name, organization, contact information, which dataset you are bringing (electric or gas), and a preferred date and time.
The data health checks are returning to this year’s User Conference. Bring a sample of your data in a file or personal geodatabase and an Esri industry expert will review the overall quality of your data. The health check is a quick and easy way to get an insight into whether or not your data meets your business rules. This year Esri is offering the health checks to users in the following industries: water/wastewater/stormwater, electric & gas, roads & highways, land records and addressing, and 3D. You can sign up for this 45-min review of your data by sending an email to firstname.lastname@example.org. Please include your name, organization, phone, email, dataset you’re bringing and preferred date/time for the appointment.
Duplicate features in your GIS can cause problems during analysis. A typical scenario is when only one of the duplicate features is updated but the analysis runs on the other not-updated feature. This will result in incorrect analysis. Another scenario … Continue reading
ArcGIS 10.2.1 introduced a new geoprocessing tool, Find Disconnected Features in Geometric Network (Data Management Tools toolbox –> Geometric Network toolset), that you can use in conjunction with Data Reviewer’s Write to Reviewer Table geoprocessing tool to capture disconnected geometric … Continue reading