You are invited to join the DCAM Framework User Community. Be a thought leader, share your best practice with other industry practitioners. Then share this invitation with your peers – let’s get the crowd moving.
Wisdom of the Crowd
The DCAM Knowledge Portal is a community of EDM Council member practitioners dedicated to the advancement and adoption of industry standard Data Management processes, tools, and constructs based on the DCAM™ Framework. Working with you and other practitioners, together we will create practical HOW-side executions for Data Management. The wisdom of many is greater than one.
The Knowledge Portal organizes best practice based on the EDM Council DCAM Framework. All content aligns with the eight Data Management Components in the framework.
The Data Management Strategy component is a set of capabilities to define, prioritize, organize, fund and govern data management and how it is embedded into the operations of the organization in alignment with the enterprise and business function objectives and priorities.
The Data Management Program component is a set of capabilities to manage the Office of Data Management (ODM) including organizational structure, resource requirements, and the full range of Program Management Office activity (i.e., execution of program management, stakeholder management, funding management, communications, training, performance measurement, etc.).
The Data Governance component is a set of capabilities to define the structure, lines of authority, roles & responsibilities, escalation protocol, policy & standards, compliance, and routines to execute processes across the data control environment ensuring authoritative decision making at all levels of the organization.
The Technology Architecture component is a set of capabilities to align the architectural requirements of the business, data, and technology across the organization to support the desired business process outcomes inclusive of the Data Management function business processes.
The Data Architecture component is a set of capabilities to define data models (i.e. taxonomies, ontologies, etc.), data domains, metadata, and business critical data to execute processes across the data control environment ensuring the control of data “content”, that the meaning of data is precise and unambiguous, and that the use of data is consistent and transparent.
The Data Quality Management component is a set of capabilities to define data profiling, data quality measurement, defect management, root cause analysis, and data remediation to execute processes across the data control environment ensuring that data is fit for its intended purpose.
The Data Control Environment component is a set of capabilities to define data operations, supply chain management, control function alignment, and enterprise technology architecture alignment to execute all component processes ensuring the objectives of the Data Management function are realized across the full data management ecosystem.
A collection of best practice constructs organized by Data Management Component.
In the Knowledge Base, each component has an introduction that contains; Scope, Value Proposition, Overview, Core Questions and a listing of required Constructs, Tools, and Processes. As best practice is collected and vetted by member practitioners, it will be published to the Knowledge Portal aligned to the components.
You are invited to review, use, and improve the best practice. All we ask is that you share your improvements back with the Knowledge Portal for the benefit of all. Use the “Comment” at the end of each post to share your improvements.
The Knowledge Guide contains articles that provide more detail and insight – How-To guides for leveraging the processes, tools, and constructs in the Knowledge Base.
You are invited to review, use, and improve the guides. All we ask is that you share your improvements back with the Knowledge Portal for the benefit of all. Use the “Comment” at the end of each post to share your improvements.
The Knowledge Forum is a place to dialogue with other member practitioners about the challenges and successes of executing the DCAM Framework best practice.
This is just the start. It is the framework for the processes and constructs to be assembled from our collective best practice and formalized to support a consistent, repeatable and sustainable data culture in our organizations.
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