{"id":1277422,"date":"2021-06-30T05:40:45","date_gmt":"2021-06-30T12:40:45","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1277422"},"modified":"2021-06-30T10:01:42","modified_gmt":"2021-06-30T17:01:42","slug":"1277422-2","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/data-reviewer\/data-management\/1277422-2","title":{"rendered":"Esri UC 2021 – Data Health Check Appointments"},"author":5131,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23851],"tags":[761012,41631],"industry":[],"product":[37001],"class_list":["post-1277422","blog","type-blog","status-publish","format-standard","hentry","category-data-management","tag-data-quality-control","tag-gis-data-quality","product-data-reviewer"],"acf":{"short_description":"Esri is offering free, 45-min virtual appointments for data health checks at the 2021 User Conference! Sign-up today!","flexible_content":[{"acf_fc_layout":"content","content":"

Esri is offering free, virtual 45-min appointments for data health checks<\/a> at the 2021 User Conference. This popular offering benefits customers in various ways. Let\u2019s take some time to explore its importance.<\/p>\n

What is a data health check?<\/strong><\/p>\n

\u00a0<\/em>Accurate data is healthy data. Healthy data is vital to any successful GIS implementation.<\/em><\/p>\n

Data health checks help create awareness about GIS data quality control and enable our customers to have error-free data. A data health check is a service provided by an Esri industry expert, who will review and analyze your GIS data. It is free, focuses expressly on geometry\/attributes and takes about 45 minutes. We will use\u00a0Esri\u2019s\u00a0data quality management extension\u00a0ArcGIS Data Reviewer<\/a>\u00a0to run diagnostics and help you evaluate overall data quality based on business rules specific to your industry.<\/p>\n

Participating in the data health check is as easy as uploading a sample of your data in a secure folder managed by Esri. During your appointment, staff will use your own data to explain how to configure key data checks (see example checks for\u00a0water<\/a>\u00a0and\u00a0electric<\/a>). Any errors detected are then reviewed with you. The error features and an Excel report outlining the accuracy rates of your data will be provided to you for additional review in the same secure folder.<\/p>\n

Data health checks are offered for water\/wastewater\/stormwater, electric, gas, linear referenced pipelines, land records, addressing, street centerlines, airports (airfield infrastructure), and Indoors datasets.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1277432,"id":1277432,"title":"DHC","filename":"2019-07-09-09.34.13.jpg","filesize":579677,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/06\/2019-07-09-09.34.13.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/data-reviewer\/data-management\/1277422-2\/2019-07-09-09-34-13","alt":"Group of people sitting in front of a computer","author":"5131","description":"","caption":"Data health checks at a past Esri User Conference","name":"2019-07-09-09-34-13","status":"inherit","uploaded_to":1277422,"date":"2021-06-29 22:54:40","modified":"2021-06-29 22:56:06","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2472,"height":1354,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/06\/2019-07-09-09.34.13-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/06\/2019-07-09-09.34.13.jpg","medium-width":464,"medium-height":254,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/06\/2019-07-09-09.34.13.jpg","medium_large-width":768,"medium_large-height":421,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/06\/2019-07-09-09.34.13.jpg","large-width":1920,"large-height":1052,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/06\/2019-07-09-09.34.13-1536x841.jpg","1536x1536-width":1536,"1536x1536-height":841,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/06\/2019-07-09-09.34.13-2048x1122.jpg","2048x2048-width":2048,"2048x2048-height":1122,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/06\/2019-07-09-09.34.13-826x452.jpg","card_image-width":826,"card_image-height":452,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/06\/2019-07-09-09.34.13-1920x1052.jpg","wide_image-width":1920,"wide_image-height":1052}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Why is data quality control important?<\/strong><\/p>\n

GIS data 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 outcome of how that data is being used. Having confidence in the quality of your data is important to trust the analyses and decisions made.<\/p>\n

Data Health Checks\u00a0give you an opportunity to see how clean your GIS is by providing\u00a0insight into what types of errors exist and\u00a0a % accuracy of your data\u2019s quality.\u00a0By integrating quality control in your\u00a0workflows,\u00a0you can\u00a0improve your GIS operations\u00a0and avoid risks in decision making.<\/p>\n

What problems does it solve?<\/strong><\/p>\n

Reliable data is indispensable to obtaining meaningful results. Some examples where error-free data plays a key role include:<\/p>\n