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Data Reviewer

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In the latest release, Data Reviewer delivers new validation capabilities for enhancing quality in data management workflows.

 

Starting with the ArcGIS Pro 2.3 release, Data Reviewer became an integrated capability within Attribute rule-based workflows. Attribute rules help to improve data quality by enabling you to automatically calculate a feature's attribute values (calculation attribute rules), reject edits which create "poor" quality data (constraint attribute rules) and identify existing features which are of "poor" quality (validation attribute rules).

 

This integration continues in the latest release by enabling creation of validation rules using Data Reviewer’s configurable data validation checks. Watch the video below to learn more about this new capability.

 

A new quick-start tutorial to enhance quality assurance during editing is now available.

Automated Data Reviewer validation methods (checks) can now be configured as an attribute rule to assess the quality of features that exist in your geodatabase. The following Data Reviewer checks are available to support attribute validation rule workflows:

  • Cutbacks—Finds segments where the angle between segments in a polygon or polyline is below a specified minimum value.
  • Duplicate Vertex—Finds vertices in polyline and polygon features that are within a specified tolerance.
  • Evaluate Part Count—Finds features with a part count that is within a specified value.
  • Evaluate Polyline Length—Finds polyline segments, parts, or features that have a length within a specified tolerance.
  • Evaluate Polygon Perimeter and Area—Finds polygon features that contain an area or perimeter that is within a specified tolerance.
  • Evaluate Vertex Count—Finds polyline or polygon features that have a vertex count within a specified tolerance.
  • Feature on Feature—Finds features that have a specific relationship, either from two different feature layers or within the same feature layer.
  • Monotonicity—Searches z- or m-enabled polylines for vertices that are not strictly increasing or decreasing in value or are trending based on specified conditions.
  • Polyline or Path Closes on Self—Finds paths or lines in polyline features that either touch or cross themselves.
  • Query Attributes—Finds records based on a WHERE clause run against row attributes.

The Data Reviewer story starts at 14:19! Do tune in...

Have a comprehensive look at our help as well! 

Patch 2 for ArcGIS Data Reviewer 10.7.1 is now available. You can find the latest patch for Data Reviewer for ArcGIS Desktop here:  ArcGIS Data Reviewer 10.7.1 Patch 2 for (Desktop)

ArcGIS Data Reviewer is an extension to ArcGIS Desktop and ArcGIS Enterprise that provides an out-of-the-box framework to perform QA/QC directly within ArcGIS, a complete mapping and analytics platform.

 

Using the ArcGIS Data Reviewer extension, automated checks were run against a copy of EBMUD's water network data, giving staff a look at the product's capabilities and the types of errors that can be found. The activity helped EBMUD gain an overall assessment of the quality of its data, and agency officials decided to implement the solution.

 

When members of EBMUD attended the 2013 Esri User Conference, they participated in a data health check activity that allows users to review data on-site with an Esri industry expert. The group met with Gurunathan Ganesarethinam, a consultant and project manager from geodata engineering in Esri's Professional Services.

 

Head over to our product page to read more about this success story!

As GIS data is used to support numerous projects for new subdivisions, it is critical that the data be of the highest quality.

In 2016, CCUA migrated to the Local Government Information Model (LGIM) for water utilities, which is a database schema provided by Esri for use by local governments. This schema supported data management for maps and apps that were deployed across the organization.

Prior to migration, CCUA had configured a comprehensive set of data checks using ArcGIS Data Reviewer, an extension for ArcGIS Pro, ArcGIS Enterprise, and ArcMap that automates and helps improves data quality and data quality management. 

Head over to our product page to read more about this case study!

The patch for ArcGIS Data Reviewer 10.7.1 is now available. You can find the patch for Data Reviewer for ArcGIS Desktop and Data Reviewer for ArcGIS Server here:  ArcGIS Data Reviewer 10.7.1 Patch 1 for (Desktop | Server)

Get expert review of your electric/gas data at the Esri GeoConX conference (Oct 27-30). 

 

A data health check is a free 45-minute service provided by an Esri expert, who will review and analyze your GIS data, focusing on features and attributes. Staff will review key errors detected. If you are editing data in geometric network and/or planning to migrate to the Utility Network, you must take advantage of this opportunity.

 

Sign-up for an appointment right away. 


Electric and Gas Esri GeoConX Utility Network #electric #gas #gisdataquality

Enroll now in Esri’s NEW ArcGIS Data Reviewer learning plan to learn about capabilities that automate, simplify, standardize and unify workflows to improve data quality within your organization.

Accurate data is healthy data. And healthy data is vital to any successful GIS implementation!

The quality of your GIS data is critical as errors introduce unacceptable risk and unplanned costs. If you are attending the Esri International User Conference in San Diego in two weeks, be sure to sign up for one-on-one data health check appointment to get an expert review of your GIS data's quality.

During this free, 45-minute session, an Esri industry expert will review and analyze your GIS data, focusing on features and attributes using Esri's data quality management extension ArcGIS Data Reviewer. If you work with one of these datasets,

  • Water, wastewater, storm water
  • Land records and addressing
  • Electric, gas and linear referenced pipelines
  • Linear referenced Roads and Highways

Bring a sample of your data in a file or personal geodatabase and take advantage of this opportunity. Afterward, you'll receive an explanation of the key data checks, a review of key data concerns (if errors are detected), a copy of the error features, and an Excel report to take back to your organization.

There are various reasons why you should sign up for this activity. Are you new to GIS and just starting to migrate your data into a geodatabase? Are you interested in moving to Utility Network or Parcel Fabric? Does your organization rely on GIS data for analysis and/or decision-making? In all these cases and more, there can be trouble when you have missing information or data in the incorrect location. A data health check gives you an assessment of the data's current quality, enabling you to take next steps in ensuring the data is healthy and accurate. After all, good data is the heart of any GIS!

New in 2019, Esri is offering a data readiness check for Indoors. Consult with an Esri expert to see if your building data is ready to be migrated into the Indoors data model. Check out these comments from past participants. 

Don't miss this opportunity to check the health of your data. Sign up for a free appointment with an Esri industry expert.Government Transportation Departments of Transportation Electric and Gas Petroleum Water Utilities Land Records ArcGIS Indoors Esri Roads and Highways ArcGIS Pipeline Referencing Esri Roads and Highways Extension

Do you consider GIS data quality as a measure of success and are using ArcGIS Data Reviewer to help achieve it?

 

If so, Esri’s ArcGIS Data Reviewer team needs your feedback! Please complete this 5-minute survey to tell us how you use the extension’s capabilities to perform GIS data quality control tasks. Your feedback will help us improve existing tools as well as build new and useful functionality.

 

Click here to take the survey or scan the QR code below!

 

QR code for survey

Data Reviewer in ArcGIS Pro 2.3 delivers new capabilities for enhancing quality assurance when creating and editing data.

 

One of the new quality assurance capabilities introduced at the ArcGIS Pro 2.3/ArcGIS Enterprise 10.7 release are Attribute rules. Attribute rules help to improve data quality by enabling you to automatically calculate a feature's attribute values (calculation attribute rules), reject edits which create "poor" quality data (constraint attribute rules) and identify existing features which are of "poor" quality (validation attribute rules).

 

At the 2.3 release, many of Data Reviewer's automated checks can now be configured to validate features during editing. Watch the video below to learn more about this new capability.

 

Think about how and why you use your GIS data.

The GIS is used to help make important decisions for your organization. The data in the GIS is being maintained and updated based on new or updated information. Analyses are performed on a routine basis. These results are used to determine the next step. When there is missing information or data in the incorrect location, it will affect the results of the analysis. Having confidence in the quality of your data is important to trust the results from the analysis.

Data health check is a free service provided by an Esri industry expert, who will review and analyze your GIS data. 

Focusing expressly on features/attributes it takes about 45 minutes for Esri’s data quality management extension ArcGIS Data Reviewer to run diagnostics and evaluate overall data quality based on business rules specific to your industry.

Participating in the Data Health Check is as easy as bringing a sample of your data in either a file or personal geodatabase to the conference.

Esri staff will explain how to configure key data checks (see example checks for water and electric) and any errors detected are reviewed with you. The error features (captured in a separate geodatabase) and an Excel report outlining the accuracy rates of your data will be provided to you to take back to your organization for additional review.

When your organization depends on the GIS for its day-to-day operation, data errors can introduce unacceptable risk and unplanned costs. Thus the quality of your data is critical!

 

Data Health Checks give you an opportunity to see how clean your GIS is by providing insight into what types of errors exist and a percentage accuracy of your data’s quality.

By integrating data quality in your workflows, you can improve your GIS program and avoid risks in decision making.

 

Accurate data is healthy data, and healthy data is vital to any successful GIS implementation!

Have you read about how a district in Colorado will save a year of time by using ArcGIS Data Reviewer to automate their quality control process? 

 

Here's the recent ArcNews | Performing Data Checks Keeps Water Running article.

Interested in learning more about Data Reviewer but cannot travel to take a class? Here's the perfect option for you.

 

The first offering of a one-day online class introducing Data Reviewer and its capabilities will be held on July 26th (followed by more classes in August and September). There is still space for July 26th. Sign-up now!

 

URL to register: https://www.esri.com/training/catalog/5b2957c9e620ca23e653fce0/get-started-with-arcgis-data-reviewer-for-desktop/

How excited are you about attending the Esri User conference in less than TWO WEEKS?!?!

 

This is a great platform to learn more about ArcGIS Data Reviewer. Here are some ways to connect with the team while at the UC.

 

Technical Workshops 

ArcGIS Data Reviewer: An Introduction

Time: Tuesday, July 10 at 8.30 AM and repeat offering at 4 PM in Room 31A

Description: Understand why quality plays a key role in every organization that uses GIS data. Learn how to use ArcGIS Data Reviewer to improve data quality and reduce costs associated with poor quality. This session will focus on using ArcGIS Data Reviewer for automated and visual quality control.

Agenda: https://userconference2018.schedule.esri.com/schedule/285464882

 

ArcGIS Data Reviewer: Advanced Validation

Time: Wednesday, July 11 at 2.30 PM in Room 30E

Description: Learn how to implement ArcGIS Data Reviewer to support holistic data quality management within your organization. This session will focus on configuring and extending Data Reviewer’s automated validation capabilities, deploying semi-automated workflows for detecting errors and publication of reporting capabilities that highlight data liabilities to multiple stakeholders.

Agenda: https://userconference2018.schedule.esri.com/schedule/1636287592

 

Demo Theaters

ArcGIS Data Reviewer: Deploying Data Quality Web Services

Time: Tuesday, July 10 at 11.15 AM in Demo Theater 05

Description: Learn how to deploy automated data quality capabilities and apps on the web. Understand how ArcGIS Data Reviewer services can be used to implement data validation and quality reporting workflows. You will also learn about the existing starter applications and samples that can be deployed to support integration with existing or new web applications.

Agenda: https://userconference2018.schedule.esri.com/schedule/1039655800

 

ArcGIS Data Reviewer: Leveraging Geoprocessing for Data Validation

Time: Wednesday, July 11 at 10 AM in Demo Theater 03

Description: Learn how to use geoprocessing (GP) tools to identify errors in your data and to capture the results using Data Reviewer. This demonstration will provide an overview of the GP tools in ArcGIS Data Reviewer and how to leverage a GP model to perform data validation.

Agenda: https://userconference2018.schedule.esri.com/schedule/1714655444

 

Come meet us to see how Data Reviewer can help automate, simply and improve the quality of your GIS data.