{"id":1482,"date":"2024-01-09T15:28:18","date_gmt":"2024-01-09T15:28:18","guid":{"rendered":"https:\/\/solutionsreview.com\/thought-leaders\/?p=1482"},"modified":"2024-02-02T14:22:57","modified_gmt":"2024-02-02T14:22:57","slug":"data-management-vs-data-governance-operating-models-are-they-different","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/thought-leaders\/data-management-vs-data-governance-operating-models-are-they-different\/","title":{"rendered":"Data Management vs. Data Governance Operating Models: Are They Different?"},"content":{"rendered":"<p>Recently, I started analyzing the dependencies between data management operating models and various data architecture types (i.e., centralized and decentralized). In my practice, I use three types of data management operating models: centralized, decentralized, and hybrid. I\u2019ve decided to check the opinion of DAMA-DMBOK2 on this subject. I was very much surprised when I found out the following:<\/p>\n<p>1. DAMA-DMBOK2 distinguishes Data Governance (DG) from Data Management Operating models.<br \/>\nIn Chapter 3, it describes DG operating models. In Chapter 16, you come across DM operating models. I could not find an explanation of the differences between these approaches. I guess different professionals have written these chapters, and no alignment has occurred afterward.<\/p>\n<p>2. The number of models differs.<br \/>\nThere are 3 Data Governance operating models: centralized, replicated, and federated. However, DAMA-DMBOK2 recognizes 5 Data Management operating models: decentralized, network, centralized, hybrid, and federated.<\/p>\n<p>3. The models have similarities, even if they have different names.<br \/>\nFor example, the centralized DG and DM models are similar. The Federated DG model is like the DM Hybrid and Federated models. The DG replicated model seems to be similar to the Decentralized DM model.<\/p>\n<p><strong>WHAT CAN YOU?<\/strong><\/p>\n<p>If you are a data management executive and need to develop or adjust the operating model for your company, I recommend you take the following steps.<\/p>\n<p>1. Define the terminology used in your company.<br \/>\nThe expected result of this stage is to define whether you talk about the \u201cData Governance\u201d or \u201cData Management\u201d operating model.<\/p>\n<p>Unfortunately, we have unaligned definitions of data management and governance within the DM community.<br \/>\nI use the following DAMA-DMBOK2-based approach. Data governance (DG) is a data management (DM) capability. Data governance is a company\u2019s ability to design a data management framework, coordinate its implementation, and control its performance. The data management framework (DMF) includes a DM operating model, organizational structure, regulations, roles, and processes and coordinates the DMF performance.<\/p>\n<p>It is worth noting that \u201cdata governance\u201d governs a \u201cdata management framework,\u201d not \u201cdata.\u201d You can watch a free\u00a0<a href=\"https:\/\/academy.datacrossroads.nl\/courses\/does-your-company-need-data-governance-or-data-management\/\" target=\"_blank\" rel=\"noopener nofollow\" class=\"external\">webinar<\/a>\u00a0on this topic at the Data Crossroads Academy site.<\/p>\n<p>2. Analyze different factors that influence the required operating model.<br \/>\nAt the end of this step, you should identify the type of operating model your company needs. These factors are a company\u2019s profile and data architecture type.<\/p>\n<p>A company\u2019s profile considers a company\u2019s size, business model, geographic coverage, financial resources, etc. The DM or DG operating model will follow the business operating model. More about this topic you can find in this\u00a0<a href=\"https:\/\/academy.datacrossroads.nl\/courses\/data-governance-in-the-context-of-various-data-architectures\/\" target=\"_blank\" rel=\"noopener nofollow\" class=\"external\">webinar<\/a>.<\/p>\n<p>3. Adjust the data management framework to the needs of the required operating model.<\/p>\n<p>To be continued.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Recently, I started analyzing the dependencies between data management operating models and various data architecture types (i.e., centralized and decentralized). In my practice, I use three types of data management operating models: centralized, decentralized, and hybrid. I\u2019ve decided to check the opinion of DAMA-DMBOK2 on this subject. I was very much surprised when I found [&hellip;]<\/p>\n","protected":false},"author":481,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[11],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Management vs. Data Governance Operating Models: Are They Different? - Solutions Review Thought Leaders<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Management vs. Data Governance Operating Models: Are They Different? - Solutions Review Thought Leaders\" \/>\n<meta property=\"og:description\" content=\"Recently, I started analyzing the dependencies between data management operating models and various data architecture types (i.e., centralized and decentralized). 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