- Focus Areas
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.
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:
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.