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About DCAM
About DCAM

about dcam

Data Management Capability Assessment Model

The Data Management Capability Assessment Model (DCAM) is the industry-standard, best practice framework designed to assist today's information professional in developing and sustaining a comprehensive data management program. DCAM is organized into 8 major components. Each component is defined by a series of required data management capabilities and each capability is supported by a series of sub-capabilities, objectives, implementation advice and sample artifacts of evidence needed for verification of achievement.

DCAM was developed based on the collective experiences of hundreds of data management professionals.

  • DCAM is the synthesis of research and analysis of data management practitioners across the industry.
  • DCAM was developed following the Socratic method of question and debate, to ensure the model was practical and in line with core principles of data management.
  • DCAM was designed to be applicable and easily understood by non-specialists, while structured for continued improvement across an entire organization.

How is the model applied?

Firms are utilizing DCAM in a variety of ways throughout the data management program lifecycle.

Program Initiation: DCAM is being used as a guideline to help launch new data management programs as well as align existing programs to best practice. DCAM provides an established set of criteria for sustainable data management implementation and growth.

Current State Assessment, Benchmarking and Regulatory Readiness: Firms are utilizing DCAM to evaluate their programs, educate their stakeholders, identify gaps and compare their progress against industry peers. DCAM assessments are being used to provide demonstrable and auditable evidence to market authorities on the adoption of data management best practice. DCAM has been directly mapped to the risk data principles of BCBS 239 and GDPR.

Education and Certification: 

  • Strategic Concepts in Data Management: Data is the new currency.  Therefore, understanding data as a strategic asset is now fundamental to every business.  Whether you are new to data management, a seasoned data management professional, or a business professional that relies on data, this course will give you the insights into how and why data needs to be prioritized and curated.  You’ll learn about the critical concepts of data management.  You’ll hear how data is defined, designed and engineered and how it can be put to work.  Every business professional needs data acumen to be successful in today’s data-rich culture.
  • The DCAM Framework: This two-day course provides a comprehensive perspective on capabilities needed to develop and implement a practical data management strategy. The curriculum is organized into 8 core components covering over 100 essential data management capabilities. Each capability is supported by a series of requirement statements including specific objectives, scoring guidance, implementation advice and artifacts needed for evaluation of data management programs.
  • Data Management for Executives: this 60-90-minute tailored program is designed to put the principles and capabilities into perspective for line of business and executive management. Participants will gain an understanding of the challenges of managing data precision as well as the requirements for successful data management program implementation.

Benefits of a DCAM Assessment

DCAM was created by industry practitioners and is structured in a way that supports the delivery of sustainable business value. It serves as the foundation for obtaining stakeholder alignment and for positioning the value proposition of effective data discipline to executive management.

By aligning your data program with industry best practices, you establish a benchmark from which to develop and grow your program. It creates a common framework with defined capabilities, an established agreed-upon lexicon, identified objectives (and deliverables) and a list of identified evidence-based artifacts.

DCAM creates the opportunity for organizational data programs to align and demonstrate to their management, their business stakeholders, their senior executives, and their oversight authorities (regulators) that they are adhering to an industry best practice critical to building, sustaining and leveraging their data.