Data Management: Introduction and Importance
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Questions and Answers

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?

  • 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?

  • 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?

    <p>Intention, planning, coordination, and commitment</p> Signup and view all the answers

    What are the wide-ranging activities of Data Management?

    <p>Everything from consistent decision-making to the technical deployment and performance of databases</p> Signup and view all the answers

    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.

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