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What is the definition of Data Management?
What is the definition of Data Management?
- The technical deployment and performance of databases
- The ability to make consistent decisions about how to get strategic value from data
- The development, execution, and supervision of plans, policies, programs, and practices that deliver, control, protect, and enhance the value of data and information assets throughout their lifecycles (correct)
- The process of storing data in a secure location
Who can be considered a Data Management Professional?
Who can be considered a Data Management Professional?
- Anyone who works in any facet of data management to meet strategic organizational goals (correct)
- Only highly technical individuals like programmers
- Only database administrators and network administrators
- Only those who ensure that data is properly utilized and leveraged
Why do organizations need Data Management?
Why do organizations need Data Management?
- To store data in a secure location
- To manage the technical deployment and performance of databases
- To innovate and reach strategic goals by gaining insight about customers, products, and services (correct)
- To make consistent decisions about how to get strategic value from data
What does deriving value from data require?
What does deriving value from data require?
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What are the wide-ranging activities of Data Management?
What are the wide-ranging activities of Data Management?
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Study Notes
Definition and Scope of Data Management
- Data Management is the process of collecting, storing, and utilizing data in a systematic and controlled manner to extract insights and inform business decisions.
Data Management Professionals
- Data Management Professionals are individuals responsible for planning, implementing, and maintaining an organization's data management strategy.
Importance of Data Management
- Organizations need Data Management to ensure data quality, integrity, and security, which are critical for informed decision-making, competitiveness, and sustainable growth.
Deriving Value from Data
- Deriving value from data requires a combination of people, process, and technology to transform raw data into actionable insights and business outcomes.
Activities of Data Management
- Data Management involves a wide range of activities, including data governance, quality, integration, security, analytics, and reporting, which are essential for unlocking the full potential of an organization's data assets.
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Description
This quiz covers the introduction to data management, highlighting the significance of data as a crucial enterprise asset. It discusses the value of data and the intention required to derive ongoing value from it.
