As defined by CMMI, the Data Maturity Management (DMM℠) Model is a process improvement and capability maturity model for the management of an organization’s data assets and corresponding activities.
The DMM℠ is designed to cover all areas of data management, from strategy to architecture:
| DMM Category
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Description
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| Data Management Strategy
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The Data Management Strategy category encompasses process areas designed to focus on development, strengthening, and enhancement of the overall enterprise data management program.
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| Data Governance
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Encompasses process areas designed to help an organization achieve strong participation across the organization for critical decisions affecting the data assets.
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| Data Quality
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Defines the process areas designed to provide the means for an organization to fully understand the nature and quality of the data under management, as well as mechanisms to evaluate, prevent, and remediate defects, to assure that the quality of data meets business purposes and the organization’s strategic objectives.
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| Data Operations
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Encompasses process areas designed to help an organization ensure that data requirements are fully specified; data are traceable through all of the business processes that produce or consume it; data changes and their processes are managed; and data sources are selected based on requirements, well controlled, and verified as authoritative.
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| Platform Architecture
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Deals with process areas designed to help an organization design an optimal data layer to meet present and future business objectives; establish and implement well-crafted, enforceable standards; select a platform and supporting technologies that meet scope and performance requirements; integrate disparate sources of data; and manage historical and aged data effectively.
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* Above definitions are the official DMM definitions
The Capability Maturity Model Integration (CMMI) Institute, a subsidiary of ISACA, defines and manages the DMM℠ with the same methodology developed for the Capability Maturity Model (CMM).
To learn more about DMM℠, please visit our Introduction to the Data Maturity Management (DMM℠) Model presentation.
Institutions assess their data management program against the Data Management Maturity (DMM) Model’s documented best practices in order to rapidly identify an organization’s current capabilities and maturity levels, and pinpoint areas where additional improvements are required.
The results of the assessment are recommendations to support the organization’s data management strategy and implementation planning activity.
Pellustro makes the management of the full lifecycle of this assessment, from setup to conclusion, as efficient as possible.
If your organization has an active license for the DMM℠, the model can be activated in Pellustro within seconds.
Once activated, define the participants and launch the self-assessment. Whether only a selected group of data professionals or hundreds of stakeholders and data consumers, your effort remains the same. Let Pellustro do all the work.
Once the assessment is completed, powerful analytics provide you with insights to evaluate and improve your data management practices in accordance with the CMMI® Institute’s Data Management Maturity (DMM)℠ Model.
Request a demo to learn more about Pellustro and how you can streamline your data management maturity assessments going forward with Pellustro.
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