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Data Strategy and Data Governance refers to the development and implementation of strategies for effective data management within an organization.
This segment covers the strategic direction for data within an organization. It includes target visions, guiding principles, prioritization logic, and alignment of data initiatives with business goals. It also describes operating models for data work, such as how responsibilities, decision paths, and value streams around data products are organized. The focus is on governance-ready strategy and organizational fit, independent of specific policies, role assignments, or technical implementation details.
Value Stream Mapping visualizes the flow of materials and information to identify value creation and waste.
A concept for identifying and mapping capabilities within organizations.
A capability model provides a structured framework for describing and analyzing capabilities within an organization.
A data strategy defines how data is used and managed within an organization.
A governance model defines the guidelines and responsibilities within an organization.
The operating model defines the structure and dynamics of organizations, including decision-making processes and interaction among teams.
A Target Operating Model (TOM) defines the future-state of how an organization operates, including structure, governance, processes, roles, capabilities, and enabling platforms.
Value Streams are a concept for analyzing and optimizing value creation processes.