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Data Management: Introduction and Importance

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Data Management: Introduction and Importance

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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 (B)</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 (D)</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.