{"id":10,"date":"2026-11-07T21:00:00","date_gmt":"2026-11-07T11:00:00","guid":{"rendered":"https:\/\/www.datamaturitypro.com\/blog\/?p=10"},"modified":"2026-11-07T23:09:30","modified_gmt":"2026-11-07T13:09:30","slug":"data-maturity-model","status":"publish","type":"post","link":"https:\/\/www.datamaturitypro.com\/blog\/data-maturity-model\/","title":{"rendered":"Data maturity model: the five levels and how to place your organization"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">A data maturity model is a scale that describes how well an organization manages its data, in a small number of levels that run from ad hoc to optimized. It matters because it turns a vague feeling that &#8220;our data is a mess&#8221; into a score you can track and a next step you can fund. Australia&#8217;s federal agencies averaged 2.02 out of 5 in their first assessment in 2024, a figure that says much more once it is split by area. The rubric below shows how to make that split for your own organization, and what evidence moves an area up one level.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Key takeaways<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>The scale in this post has five levels: 1 Initial, 2 Developing, 3 Defined, 4 Managed and 5 Optimized. The CMMI DMM, Gartner&#8217;s model and the UK government&#8217;s model also use five; the DMBOK&#8217;s maturity chapter, DCAM and Australia&#8217;s tool describe six.<\/li><li>Australia&#8217;s Department of Finance has every in-scope federal agency rate itself from 0 to 5 on 57 questions across 7 focus areas; the average for the Australian Public Service in 2024 was 2.02 out of 5, a rating of &#8220;developing&#8221; (Data Maturity Report 2024, published March 2025).<\/li><li>The UK&#8217;s Data Maturity Assessment for Government (Central Digital and Data Office, first published March 27, 2023) is a self-assessment built on 10 topics, six themes and five levels, from Beginning to Mastering.<\/li><li>An overall score hides the detail that matters. In the same 2024 Australian results, three focus areas averaged &#8220;initial\/ad hoc&#8221; while the other four averaged &#8220;developing&#8221;.<\/li><li>DAMA-DMBOK gives you 11 knowledge areas to score; DCAM organizes capability into components, eight of them since version 2.2.1 added analytics in October 2020.<\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Updated November 2026<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What is a data maturity model?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">It is a ladder. Each rung describes how an organization behaves with its data: who decides, what is written down, what gets measured and what happens when something breaks. The bottom rung is work that depends on whoever happens to be in the room. The top rung is work that is measured and improved on purpose, year after year.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">People also call it the data maturity curve, because an organization doesn&#8217;t climb evenly. In the Australian results below, three focus areas sat a level behind the other four.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It is not a list of tools: a data catalog that nobody keeps current doesn&#8217;t make metadata management mature. Nor is it a grade for the data team, because the levels describe how the business treats data too, executives included.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A model is the scale. A <a href=\"https:\/\/www.datamaturitypro.com\/blog\/data-maturity-assessment\/\">data maturity assessment<\/a> is the act of placing yourself on it, with evidence. The government frameworks below come with both.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What are the five levels of data maturity?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The names change from one model to the next. In the models compared below, though, the climb runs the same way: from ad hoc work to practice that is measured and improved. This is the rubric we use, written so that it applies to any area of data management. The third column is the part we found missing from the pages that rank for this term: what someone would show you to prove the level.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>Level<\/th><th>What you see<\/th><th>The evidence an assessor asks for<\/th><\/tr><\/thead><tbody><tr><td>1 Initial<\/td><td>Work happens when someone notices a problem. Results depend on a few people who know where things are.<\/td><td>Little or nothing in writing. People describe what they do from memory, and two teams describe it differently.<\/td><\/tr><tr><td>2 Developing<\/td><td>Someone is responsible for the area and some practices exist, but only in parts of the organization.<\/td><td>A named owner, and perhaps a draft standard or a spreadsheet that one team keeps up to date.<\/td><\/tr><tr><td>3 Defined<\/td><td>The practice is written down and used across the organization, and new projects are expected to follow it.<\/td><td>An approved standard that projects must pass through.<\/td><\/tr><tr><td>4 Managed<\/td><td>The practice is measured. Targets exist, results are reported to the people who own them, and misses are acted on.<\/td><td>Metrics with thresholds, and minutes that show someone acted when a number was missed.<\/td><\/tr><tr><td>5 Optimized<\/td><td>The practice improves itself. Root causes get fixed, and a lesson learned in one area changes another.<\/td><td>A dated record of causes found and fixed, with the trend that shows it worked.<\/td><\/tr><\/tbody><\/table><figcaption class=\"wp-element-caption\">A general five-level rubric. Score each area of data management against it separately.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The levels are cumulative. An area can&#8217;t be Managed if the practice it measures was never Defined, so when people disagree about a score, ask for the evidence at the lower level first. In our view the step from level 2 to level 3 takes the most effort: it is the move from &#8220;one team does this well&#8221; to &#8220;everyone does this, and it&#8217;s written down&#8221;.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Other scales use different words for the same idea. Australia&#8217;s government tool adds a level 0, &#8220;Unmanaged&#8221;, and New Zealand&#8217;s prototype from Stats NZ has six levels, from absent to optimized.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Which maturity models can you use?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Six are worth knowing. They differ less in their levels than in what they choose to score, and in whether you can read them without paying or joining. Our comparison of data management maturity models goes into each one in more depth.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>Model<\/th><th>Who publishes it<\/th><th>What it scores<\/th><th>Levels<\/th><th>Access<\/th><\/tr><\/thead><tbody><tr><td>DAMA-DMBOK<\/td><td>DAMA International<\/td><td>11 knowledge areas, with data governance at the center of the DAMA Wheel<\/td><td>Six, described in the book&#8217;s maturity assessment chapter; no scoring method<\/td><td>The book is sold; the area list is public<\/td><\/tr><tr><td>DCAM<\/td><td>EDM Council, now the EDM Association<\/td><td>Capability components (eight since v2.2.1, October 2020; restructured in v3, July 2025)<\/td><td>Six, from Not Initiated to Enhanced; still the scale in 2026<\/td><td>EDM Association members; assessments by people trained and certified in DCAM<\/td><\/tr><tr><td>CMMI Data Management Maturity (DMM)<\/td><td>CMMI Institute (launched 2014)<\/td><td>25 process areas<\/td><td>Five capability levels<\/td><td>Retired by CMMI Institute on January 1, 2022<\/td><\/tr><tr><td>Gartner data and analytics maturity model<\/td><td>Gartner<\/td><td>Data and analytics as a whole<\/td><td>Five, from basic to transformational<\/td><td>Described in Gartner research and press releases<\/td><\/tr><tr><td>Data Maturity Assessment for Government<\/td><td>UK Central Digital and Data Office<\/td><td>10 topics across six themes<\/td><td>Five, Beginning to Mastering<\/td><td>Free on gov.uk<\/td><\/tr><tr><td>Data Maturity Assessment Tool<\/td><td>Australian Department of Finance<\/td><td>7 focus areas, 57 questions<\/td><td>0 Unmanaged to 5 Optimized<\/td><td>Free; the guide and the tool are public PDFs<\/td><\/tr><\/tbody><\/table><figcaption class=\"wp-element-caption\">Sources: dama.org and Data Crossroads (April 19, 2021); EDM Association webinar deck (2025) and DCAM overview (2021); InfoQ (September 15, 2014) and CMMI Institute (archived 2023); Gartner press release (February 5, 2018); gov.uk (2023); Department of Finance (2024 report, 2026 tool and guide). Checked November 2026.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The <a href=\"https:\/\/dama.org\/learning-resources\/dama-data-management-body-of-knowledge-dmbok\/\">DAMA-DMBOK<\/a> is a body of knowledge, not a scoring instrument. Its chapter on maturity assessment sets out six levels, though not a way to score them (<a href=\"https:\/\/datacrossroads.nl\/2021\/04\/19\/dama-dmbok2-vs-dcam-2-2-maturity-assessment\/\">Steenbeek, Data Crossroads, 2021<\/a>). Nor did a search of dama.org turn up a DAMA questionnaire. So &#8220;a DAMA maturity assessment&#8221; always means someone&#8217;s own questions and scoring rules applied to DAMA&#8217;s areas. <a href=\"https:\/\/www.datamaturitypro.com\/blog\/dcam-framework\/\">DCAM<\/a> goes back to 2014, with version 2 in May 2019 and version 3 in July 2025 (EDM Association webinar deck, 2025). The CMMI DMM was built on the structure of the capability maturity model family, CMMI. CMMI Institute retired it on January 1, 2022, and said its content would be folded into the CMMI model (<a href=\"https:\/\/web.archive.org\/web\/20230306072410\/https:\/\/cmmiinstitute.com\/dmm\">CMMI Institute DMM page, archived March 2023<\/a>). Gartner&#8217;s model is best known from a 2017 survey of 196 organizations, in which 60 percent rated themselves in the lowest three levels (Gartner press release, February 5, 2018).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The two government models are the easiest to read in full: the UK&#8217;s <a href=\"https:\/\/www.gov.uk\/government\/publications\/data-maturity-assessment-for-government-framework\">Data Maturity Assessment for Government<\/a> and Australia&#8217;s <a href=\"https:\/\/www.finance.gov.au\/government\/public-data\/public-data-policy\/data-maturity-assessment-tool\">Data Maturity Assessment Tool<\/a> publish their level descriptions free.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">DAMA, DAMA-DMBOK and CDMP are trademarks of DAMA International, and DCAM belongs to the EDM Council (now the EDM Association). Level Up Your Data is not affiliated with or endorsed by either organization.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Why score each area, not the whole organization?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Because one number can&#8217;t tell you what to do on Monday. Take the Australian Public Service&#8217;s 2024 baseline. The overall average was 2.02, which sounds like &#8220;developing everywhere&#8221;. The <a href=\"https:\/\/www.finance.gov.au\/sites\/default\/files\/2025-03\/Data-Maturity-Report_2024.pdf\">Department of Finance&#8217;s report<\/a> shows something more useful: strategy and governance, operations, risk and data integration averaged &#8220;developing&#8221;, while architecture and data analytics averaged &#8220;initial\/ad hoc&#8221;. So did the combined area of quality, reference data and metadata. Quality, reference and metadata was the lowest of the seven.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Scoring by area also lets you set different targets. Finance&#8217;s guide says plainly that it will not be appropriate or necessary for every agency to aim for the top level in every focus area. The report adds that &#8220;developing&#8221; may be the right end state for a small agency with very little data. The same holds outside government: a bank under regulatory scrutiny may need Managed data security and lineage, while a 40-person charity may do well to reach Defined in governance and stop there.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Last, area scores make disagreement visible. When the finance team scores data quality at 3 and the analytics team scores it at 1, both are telling you something true about where they sit.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How to place your organization on the curve: a worked example<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">For illustration, here is a fictional mid-sized insurer scoring two of the 11 <a href=\"https:\/\/www.datamaturitypro.com\/blog\/dama-dmbok\/\">DAMA-DMBOK<\/a> areas. Six people each answer two questions per area. Every answer is a level from 1 to 5, or &#8220;Don&#8217;t know&#8221;.<\/p>\n\n\n\n<ol class=\"wp-block-list\"><li><strong>Collect the answers.<\/strong> Metadata management gets 2, 1, 2, 1, 2, 2, 1, 1, 2, 1 from five people, and one person answers &#8220;Don&#8217;t know&#8221; to both metadata questions. Data quality gets 3, 3, 2, 3, 3, 2, 3, 4, 3, 2, 3, 3, two answers from each of the six.<\/li><li><strong>Leave &#8220;Don&#8217;t know&#8221; out.<\/strong> It is not a zero. Guessing it as a 1 would drag the score down for a reason that has nothing to do with maturity. Metadata now has ten answers, from five people.<\/li><li><strong>Average each person, then the people.<\/strong> The five metadata scores are 1.5, 1.5, 2, 1 and 1.5, so the area scores 7.5 \u00f7 5 = 1.5. The six data quality scores are 3, 2.5, 2.5, 3.5, 2.5 and 3, so it scores 17 \u00f7 6 = 2.83. Each person answered both questions, so this matches the plain average of all answers (15 \u00f7 10 and 34 \u00f7 12).<\/li><li><strong>Turn the score into a level.<\/strong> With bands at 1.5, 2.5, 3.5 and 4.5, metadata (1.5) lands on level 2, Developing, right at the edge. Data quality (2.83) is level 3, Defined.<\/li><li><strong>Average the areas for the overall score.<\/strong> With all 11 areas scored, the overall figure is the mean of the area scores, and you report it next to them, never instead of them.<\/li><\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">Decide how you round before you start. The Australian tool rounds down to stay conservative, so its guide says a score of 2.75 means Developing; under the bands above, 2.75 is Defined. A score that changes level with the rounding rule deserves a conversation. The &#8220;Don&#8217;t know&#8221; answers on metadata are a finding too: when one person in six can&#8217;t answer either metadata question, the practice isn&#8217;t very visible.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What moves you up a level?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Each step needs a different kind of work, which is why the same plan doesn&#8217;t suit every area.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>From 1 to 2:<\/strong> name one owner for the area and write down what already happens. For metadata, that could be one shared glossary of the terms your executive reports use, with an owner for each.<\/li><li><strong>From 2 to 3:<\/strong> agree on a standard and make projects use it. The glossary becomes the place new reports must take their definitions from, and a report that doesn&#8217;t is sent back.<\/li><li><strong>From 3 to 4:<\/strong> measure it. Count how many reports use the approved definitions, set a target, and report the figure to the people who own the terms.<\/li><li><strong>From 4 to 5:<\/strong> close the loop. When a figure misses its target, find the cause and change the process, then check that the change worked at the next review.<\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Move one level at a time. A level 4 measurement tool bought by an organization at level 1 tends to produce dashboards that nobody owns.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Frequently asked questions<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">What is data maturity?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Data maturity is how consistently an organization manages and uses its data: whether practices are written down and followed everywhere, and whether anyone measures them. It is measured area by area, such as governance, quality or metadata, on a scale of levels.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How many levels does a data maturity model have?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Five or six. The CMMI DMM, Gartner&#8217;s model and the UK government&#8217;s use five. The DMBOK&#8217;s maturity chapter, DCAM and Australia&#8217;s 0-to-5 tool describe six, as does New Zealand&#8217;s prototype, which starts at &#8220;absent&#8221;.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">What is the difference between a data maturity model and a maturity assessment?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The model is the scale and the areas it covers. The assessment is the exercise of placing your organization on that scale, using the answers people give and the evidence behind them.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Which data maturity model should I use?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Use DAMA-DMBOK&#8217;s 11 knowledge areas if you want a broad view of data management. Look at DCAM if you run a funded data management program in a regulated industry such as banking. Public bodies in the UK and Australia have their own government models.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How long does it take to move up a maturity level?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">We know of no published benchmark we would trust for this. Plan in reassessment cycles instead. Australian federal agencies now reassess every two years. For an improvement plan, twelve months is a sensible period for an area to produce new evidence for the next level.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Summary<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A data maturity model gives you five levels and a way to say which one each area of your data management has reached, with evidence rather than opinion. Score every area on its own, and start with the two weakest areas that matter most to the business.<\/p>\n\n","protected":false},"excerpt":{"rendered":"<p>The five levels of data maturity, the evidence that proves each one, the main models side by side, and a worked example of scoring each area on its own.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-10","post","type-post","status-publish","format-standard","hentry","category-data-maturity"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Data maturity model: levels and a rubric | Data Maturity Pro<\/title>\n<meta name=\"description\" content=\"A data maturity model in plain terms: the five levels, what you see and the evidence at each, the main models compared, and a 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