{"id":600,"date":"2018-09-19T14:08:47","date_gmt":"2018-09-19T21:08:47","guid":{"rendered":"http:\/\/www.lightsondata.com\/?p=600"},"modified":"2020-09-06T21:33:50","modified_gmt":"2020-09-07T04:33:50","slug":"data-governance-maturity-models-dataflux","status":"publish","type":"post","link":"https:\/\/www.lightsondata.com\/data-governance-maturity-models-dataflux\/","title":{"rendered":"DataFlux data governance maturity models"},"content":{"rendered":"<p>This article is covering DataFlux data governance maturity model and continuing the series of data governance maturity models as a data governance evaluation tool. Check out these other ones:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.lightsondata.com\/data-governance-maturity-models-stanford\/\" target=\"_blank\" rel=\"noopener noreferrer\">Stanford Data Governance Maturity Model<\/a><\/li>\n<li><a href=\"https:\/\/www.lightsondata.com\/data-governance-maturity-models-ibm\/\" target=\"_blank\" rel=\"noopener noreferrer\">IBM Data Governance Maturity Model<\/a><\/li>\n<\/ul>\n<h2>DataFlux Maturity Model<\/h2>\n<p><strong>Overview: <\/strong>Developed by DataFlux in 2007, it was based on their ten years of experience in developing the core components of data governance technology. First presented in their white paper on <em>&#8220;<a href=\"http:\/\/www.fstech.co.uk\/fst\/whitepapers\/The_Data_Governance_Maturity_Model.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">The Data Governance Maturity Model: Establishing the People, Policies and Technology That Manage Enterprise Data<\/a>&#8220;.<\/em>\u00a0It had since been revised and updated to include the business perspective that drives the need for managing data as an asset, besides the technology adoption at each phase.<\/p>\n<p>The model has\u00a04 levels of maturity with the following characteristics:<\/p>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"604\" data-permalink=\"https:\/\/www.lightsondata.com\/data-governance-maturity-models-dataflux\/dataflux-dg-model\/\" data-orig-file=\"https:\/\/i0.wp.com\/www.lightsondata.com\/wp-content\/uploads\/2018\/09\/DataFlux-DG-model.jpg?fit=804%2C497&amp;ssl=1\" data-orig-size=\"804,497\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"DataFlux DG model\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/www.lightsondata.com\/wp-content\/uploads\/2018\/09\/DataFlux-DG-model.jpg?fit=300%2C185&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/www.lightsondata.com\/wp-content\/uploads\/2018\/09\/DataFlux-DG-model.jpg?fit=804%2C497&amp;ssl=1\" class=\"size-full wp-image-604 aligncenter\" src=\"https:\/\/i0.wp.com\/www.lightsondata.com\/wp-content\/uploads\/2018\/09\/DataFlux-DG-model.jpg?resize=804%2C497\" alt=\"dataflux data governance model\" width=\"804\" height=\"497\" srcset=\"https:\/\/i0.wp.com\/www.lightsondata.com\/wp-content\/uploads\/2018\/09\/DataFlux-DG-model.jpg?w=804&amp;ssl=1 804w, https:\/\/i0.wp.com\/www.lightsondata.com\/wp-content\/uploads\/2018\/09\/DataFlux-DG-model.jpg?resize=300%2C185&amp;ssl=1 300w, https:\/\/i0.wp.com\/www.lightsondata.com\/wp-content\/uploads\/2018\/09\/DataFlux-DG-model.jpg?resize=768%2C475&amp;ssl=1 768w, https:\/\/i0.wp.com\/www.lightsondata.com\/wp-content\/uploads\/2018\/09\/DataFlux-DG-model.jpg?resize=600%2C371&amp;ssl=1 600w\" sizes=\"auto, (max-width: 804px) 100vw, 804px\" \/><\/p>\n<p><strong>1.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Undisciplined<\/strong><\/p>\n<ul>\n<li>Little or no rules and policies on data quality and integration<\/li>\n<li>Redundant data across multiple different data sources, format and records meeting similar purposes<\/li>\n<li>High risk of lost opportunities and incorrect decisions due to poor data quality<\/li>\n<\/ul>\n<hr \/>\n<h3 style=\"text-align: center;\">Checkout this <a href=\"https:\/\/www.lightsondata.com\/data-governance-maturity-model\/\" target=\"_blank\" rel=\"noopener noreferrer\">online course on Data Governance Maturity Model(s)<\/a> to learn all there is to know about them, the best practices and pitfalls on selecting and using them, and so much more.<\/h3>\n<hr \/>\n<p><strong>2.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Reactive<\/strong><\/p>\n<ul>\n<li>Data rules and policies are created at department level<\/li>\n<li>Data quality is also mostly addressed at department level<\/li>\n<li>Still a lot of poor data quality enterprise-wide<\/li>\n<\/ul>\n<p><strong>3.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Proactive<\/strong><\/p>\n<ul>\n<li>The value of a centralized view of information and knowledge is understood at the enterprise level<\/li>\n<li>A data culture is beginning to be adopted across departments<\/li>\n<\/ul>\n<p><strong>4.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Governed<\/strong><\/p>\n<ul>\n<li>Data and information is unified<\/li>\n<li>The data strategy and framework is well established and understood<\/li>\n<li>Everyone understands information is a key enterprise asset<\/li>\n<\/ul>\n<p>Each one of these phases is evaluated against four major dimensions:<\/p>\n<ol>\n<li>People<\/li>\n<li>Policies<\/li>\n<li>Technology<\/li>\n<li>Risk<\/li>\n<\/ol>\n<p>The model offers their characteristics at each stage and proposes what needs to be addressed to advanced to the next. Ex:<\/p>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"606\" data-permalink=\"https:\/\/www.lightsondata.com\/data-governance-maturity-models-dataflux\/dataflux-dg-model-phase-1\/\" data-orig-file=\"https:\/\/i0.wp.com\/www.lightsondata.com\/wp-content\/uploads\/2018\/09\/DataFlux-DG-model-phase-1.jpg?fit=560%2C458&amp;ssl=1\" data-orig-size=\"560,458\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"DataFlux DG model phase 1\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/www.lightsondata.com\/wp-content\/uploads\/2018\/09\/DataFlux-DG-model-phase-1.jpg?fit=300%2C245&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/www.lightsondata.com\/wp-content\/uploads\/2018\/09\/DataFlux-DG-model-phase-1.jpg?fit=560%2C458&amp;ssl=1\" class=\"aligncenter size-full wp-image-606\" src=\"https:\/\/i0.wp.com\/www.lightsondata.com\/wp-content\/uploads\/2018\/09\/DataFlux-DG-model-phase-1.jpg?resize=560%2C458\" alt=\"DataFlux DG model phase 1\" width=\"560\" height=\"458\" srcset=\"https:\/\/i0.wp.com\/www.lightsondata.com\/wp-content\/uploads\/2018\/09\/DataFlux-DG-model-phase-1.jpg?w=560&amp;ssl=1 560w, https:\/\/i0.wp.com\/www.lightsondata.com\/wp-content\/uploads\/2018\/09\/DataFlux-DG-model-phase-1.jpg?resize=300%2C245&amp;ssl=1 300w\" sizes=\"auto, (max-width: 560px) 100vw, 560px\" \/><\/p>\n<p><strong>Take away:<\/strong> Higher levels of maturity yields greater information and knowledge rewards and reductions in risks. The &#8220;Reactive&#8221; level is where a data governance program is put together. Moving out of the &#8220;Reactive&#8221; into the &#8220;Proactive&#8221; one is a difficult step to take, usually taking 4-5 years.<\/p>\n<p><strong>More information:\u00a0<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/www.sas.com\/content\/dam\/SAS\/en_ca\/User%20Group%20Presentations\/Calgary-User-Group\/Smith-DataFluxDataManagementApproach-May2011.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">DataFlux Data Management Approach<\/a> (SAS user group presentation from May 2011)<\/li>\n<li><em><a href=\"http:\/\/www.fstech.co.uk\/fst\/whitepapers\/The_Data_Governance_Maturity_Model.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">The Data Governance Maturity Model: Establishing the People, Policies and Technology That Manage Enterprise Data<\/a><\/em>\u00a0(White paper from\u00a02007)<\/li>\n<\/ul>\n<p>Next I&#8217;ll go over <a href=\"https:\/\/www.lightsondata.com\/data-governance-maturity-models-gartner\/\" target=\"_blank\" rel=\"noopener noreferrer\">Gartner&#8217;s EIM Maturity Model<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This article is covering DataFlux data governance maturity model and continuing the series of data governance maturity models as a data governance evaluation tool. Check out these other ones: Stanford Data Governance Maturity Model IBM Data Governance Maturity Model DataFlux Maturity Model Overview: Developed by DataFlux in 2007, it was based on their ten years [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":604,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[2],"tags":[85,29],"class_list":["post-600","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-governance","tag-data-governance-maturity-model","tag-maturity-model","post-wrapper","thrv_wrapper"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>DataFlux data governance maturity models | LightsOnData<\/title>\n<meta name=\"description\" content=\"DataFlux maturity model was based on their ten years of experience in developing the core components of data governance technology. 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