Need help choosing between the DMM or DCAM? Find out which might suit your needs. Examine the most common questions below. Don’t see your questions? Use the form to the right and submit a question to our expert.


Are the DMM℠ Model and DCAM™ related?

No. While they are both intended to help guide towards higher-level data management capabilities, the two models were developed by separate organizations with common general objectives and roughly the same time period. The Data Management Maturity (DMM) Model is registered and owned by the CMMI Institute, while the Data Management Capability Assessment Model (DCAM) is registered and owned by the EDM Council. Kingland had direct history with the development of both models as well as being certified to provide consulting on each, so feel free to contact us directly if you have more questions about the two models.


What is the Data Management Maturity Model?

The Data Management Maturity (DMM) Model was developed as a comprehensive reference model for process and improvement guidance around data management activities. It articulates the necessary activities, through practice statements and elaborations, for establishing, building, and sustaining effective data management from creation through delivery and maintenance. The DMM model uses 25 process areas across the categories of Data Management Strategy, Data Governance, Data Operations, Data Quality, Platform and Architecture, and Supporting Processes to define specific capabilities that constitute a gradated path to data management maturity. With over 400 specific and objective statements and elaboration of activities, it provides a means to achieve quality data aligned with business needs. It is also designed to allow evaluation of organizational activities against an objective set of expectations to determine gaps, and improve management of data assets across functional, line of business, and geographic boundaries.


What is the DCAM?

The DCAM was developed to provide a synthesized, checklist form of objective statements to be used by firms in the financial industry to help drive implementation and sustainment of a data management program. The model consists of 8 components comprising 37 capabilities and 115 sub-capabilities. Each sub-capability is tested for through objective capability objectives to help understand exactly where you are on your journey ti implement and sustain a data management program.


Who Created the DMM Model?

The DMM was collaboratively developed by data management experts, IT professionals, and representatives of lines of business through working groups from a variety of industry experiences over a 4 year period and was released in 2014 by the CMMI Institute – the global leader in maturity models and stewards of the CMMI Model.


Who Created the DCAM?

The DCAM was developed during 2014 - 2015 by leadership of the EDM Council, with input and vetting through working groups of experienced volunteers from the EDM Council membership.

Are the Model's Targeted to the Financial Services?

Data Management is not unique to the financial industry, nor are the concepts or expectations of the models. While the concept for a Data Management Maturity Model had origins in the financial industry, the model is explicitly designed as a universally applicable tool, appropriate for all organizations that need quality data aligned with business needs. It does not matter what industry you are in, the functional and infrastructure statements articulated in the DMM model are pertinent to anyone and everyone that needs to manage data well. Likewise, the DCAM capability statements and objectives should also be universally applicable. Today however, the DMM Model is readily available to anyone, whereas the DCAM is only available to members of the EDM Council.

Is the DMBOK the Same as the DMM?

No, the DMBOK and the DMM Model are complimentary. The DMM model defines what types of activities need to be performed across the categories of Data Management Strategy, Data Governance, Data Operations, Data Quality, Platform and Architecture, and Supporting Processes, where as the DMBOK provides execution level guidance for how to perform certain data management activities. In fact, Sue Geuens, President of DAMA International has said “The Board of Directors and Advisors of DAMA International believe the DMM model is a big step in the right direction and are gratified that data is truly becoming the corporate asset that we, the Data Management Profession, have known about for so many years.”


Can I Get a Maturity Level Score from the DMM or DCAM?

Yes. The formal maturity level rating for DMM levels 2-5 typically require an evidence-based appraisal by a formal appraisal team accredited by the CMMI Institute. With the new release of the DMM model the Institute has not yet defined the full requirements related to evidence-based appraisals, so a formal maturity rating is not yet available. However, through an assessment conducted by our certified enterprise data management expert (EDME) accredited by the Institute you would receive a score indicating the level of capability at your organization. These are developed through an affirmations-based assessment and workshop on-site at your location with your staff and provide an indicative rating of your current posture relative to a maturity rating. Once the CMMI Institute provides further guidance and criteria for formal maturity ratings (expected in 2016), we would be able to conduct appraisals for formal maturity rating score. The DCAM also includes an assessment method to score the level of implementation of a data management platform. This model uses 6 levels to evaluate each sub-capability, from "Not Initiated" to "Capabilities Enhanced" to evaluate your level of program implementation and sustainment.


Our Real Issues are With Data Quality. How Does the DMM Help with That?

Quality data aligned with business needs is the ultimate objective behind the DMM Model. It does not matter what type of business you are in, the type of data being managed, or even the size of the organization; the hundreds of practice statements and elaborations across the 25 Process Areas defined in the DMM Model have been defined by experts across the data management spectrum to help you achieve that objective. Achieving quality data aligned with business needs requires performance of all activities in the DMM Model.


Who Should Use These Models?

All organizations interested in evaluating and improving their data management program from end to end can benefit from the guidance in these models. They are tools for helping organizations achieve their data management objectives. The content and scope of each model has common aspects, but each are unique in content and approach. It is best to talk with our certified expert on both models to determine which model best fits your needs.


We Are Just Getting Started with Defining Our Data Governance Program, Should We Wait?

Not at all. If your governance program has not been implemented, we can use the appropriate model to help provide valuable guidance for the things that need to be considered as you develop your data management program and governance. Keep in mind that data governance has much broader requirements than simply data stewardship. We can help you understand the necessary relationships across the spectrum of activities related to data management that can be valuable input as you develop your data governance model.

Alternatively, if you have implemented a data governance program, recently or long ago, an assessment will help you to understand exactly how well it is achieving your objectives and where underlying weakness may be lurking, or where your strengths are.


When Is the Right Time to Start?

Everyone is busy on various priorities, but data management and data management needs never really stand still, and achieving data quality that meets the business need requires strong work in a broad range of areas from business processes to hardware to data governance, operations and QA activities, to software. The question then is “are our priorities the correct ones and are we implementing all the correct things?” In that context, we can help you ensure all the correct things are functioning appropriately. With a benchmarking assessment you can understand exactly what the current posture is, and with the analysis of our experts you can ensure the priorities are accurate and aligned.

Get additional information about DMM, DCAM and the Kingland data governance and maturity model.