Acronyms/Misc
Data Management
Data Governance
Data Architecture
Data Development
100
DMBoK
What is the Data Management Body of Knowledge?
100
The planning, execution and oversight of policies, practices and projects that acquire, control, protect, deliver, and enhance the value of data and information assets.
What is Data Management?
100
Formal accountability for business responsibilities ensuring effective control and use of data assets.
What is Data Stewardship?
100
Provides a way of thinking about and understanding architecture, and the strucures or systems requiring architecture.
What are Architectural Frameworks?
100
A visual, high-level perspective on a subject area of importance to the business.
What is a Conceptual Data Model?
200
An Enterprise Asset - the lifeblood of the 21st century economy.
What is Data and Information.
200
The excercise of authority and control (planning, monitoring, and enforcement) over the management of data assets, e.g. the high-level planning and control over data management.
What is Data Governance?
200
A plan for maintaining and improving data quality, integrity, security, and access.
What is a Data Stategy? Cigna calls this the Data Quality Center of Excellence (COE).
200
Defines how data flows through all systems from beginning to end.
What is Data Integration Architecture also known as Data Lineage?
200
An extension of the Conceptual Data Model, adding data attributes to each entity.
What is a Logical Data Model?
300
SDLC
What is the System/Software Development Lifecycle?
300
Defining the data needs of the enterprise, and designing the master blueprints to meet those needs.
What is Data Architecture Management? At Cigna this is called Data Strategy.
300
Documented methods, techniques, and steps followed to accomplish a specific activity or task around data management.
What are Data Management Procedures?
300
Two of the several activities related to defining the blueprint for managing data assets.
What are : 1) Understanding Enterprise Information Needs 2) Develop and Maintain the Enterprise Data Model 3) Analyze and Align with Other Business Models 4) Define and Maintain the Data Technology Architecture 5) Define and Maintain the Data Integration Architecture 6) Define and Maintain the DW/BI Architecture 7) Define and Maintain the Enterprise Taxonomies and Namespaces 8) Define and Maintain the Meta-data Architecture
300
The process of applying rules to organize business complexity into stable data structures with the basic goal of keeping each data element in only one place.
What is normalization?
400
The number of overall data management functions per DMBoK.
What is 10?
400
Designing, implementing and maintaining solutions to meet the data needs of the enterprise.
What is Data Development? Dual responsibility between IT and Business.
400
Data quality; data naming and defintion conflicts; business rule conflicts and clarifications; data security, privacy and confidentiality; regulatory non-compliance; non-conformance (policies, standards, architecture, and procedures); conflicting stakeholder interests in data and information; negotiation and review of data sharing agreements.
What are types of data related issues which are handled by the function issue management? Who coordinates issues around this item?
400
Ultimate sponsor and approving body for enterprise data architecture.
What is the Data Governance Council?
400
Consists of data management activites that support system building, testing, and deployment.
What is Data Implementation?
500
Goals and Principles, Activities, Primary Deliverable, Roles and Responsibilities, Practices and Techniques, Technology, Organization and Culture.
What are the Environmental Elements?
500
The four data management activity groups that data management activities fit into.
What is Planning (P), Development (D), Control (C) and Operational (O).
500
Data stewards at all levels and data management professionals must do these things to substantiate the importance and value of data and information assets.
What is communicate, educate and promote?
500
Most widely known and adopted architectural framework.
What is the Zachman Framework for Enterprise Architecture?
500
Two of the 9 guiding principles for the implementation of the data development function into an organization.
What are: 1) Data development activities are an integral part of the software development lifecycle (SDLC). 2) Data modeling is an essential technique for effective data management and system design. 3) Conceptual and logical data modeling express business and application requirements, while physical data modeling represents solution design. Data modeling and database design define detail solution component specifications. 4) Data modeling and database design balances tradeoffs and needs. 5) Data professionals should collaborate with other project team members to design information products and data access and integration interfaces. 6) Data modeling and database design should follow documented standards. 7) Design reviews should review all data models and designs, in order to ensure they meet business requirements and follow design standards. 8) Data models represent valuable knowledge resources (meta-data). Carefully manage and control them through library, configuration, and change management to ensure data model quality and availability. 9) Database administrators (DBAs) and other data professionals play important roles in the construction, testing, and deployment of databases and related application systems.
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