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Welcome to the The Compelling Need for Data Warehousing MCQs Page

Dive deep into the fascinating world of The Compelling Need for Data Warehousing with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of The Compelling Need for Data Warehousing, a crucial aspect of Data Warehousing and OLAP. In this section, you will encounter a diverse range of MCQs that cover various aspects of The Compelling Need for Data Warehousing, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Warehousing and OLAP.

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Check out the MCQs below to embark on an enriching journey through The Compelling Need for Data Warehousing. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Warehousing and OLAP.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of The Compelling Need for Data Warehousing. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

The Compelling Need for Data Warehousing MCQs | Page 2 of 7

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Discuss
Answer: (c).For the continued health and survival of the corporation Explanation:Strategic information is considered vital for the continued health and survival of the corporation.
Q12.
What is the primary challenge in using the vast amount of data accumulated by organizations for strategic decision making?
Discuss
Answer: (c).Incompatibility and usability of data Explanation:The challenge in using the vast amount of data is its incompatibility and usability for strategic decision making.
Q13.
Why do companies face an information crisis despite having large quantities of data?
Discuss
Answer: (c).Data incompatibility for strategic decision making Explanation:Companies face an information crisis because the available data is not readily usable for strategic decision making due to incompatibility.
Q14.
What is one reason for the incompatibility of data within enterprises?
Discuss
Answer: (c).Use of multiple platforms and systems Explanation:Data incompatibility within enterprises is due to the use of multiple platforms and systems.
Discuss
Answer: (b).To support daily business operations Explanation:Operational data is primarily used to support daily business operations, not to analyze long-term trends.
Q16.
What kind of data is operational data?
Discuss
Answer: (a).Event-driven data Explanation:Operational data is event-driven data, capturing specific transactions at specific times.
Discuss
Answer: (d).To spot trends in customer preferences Explanation:Operational data is used to spot trends in customer preferences.
Q18.
Why is operational data not directly suitable for reviewing data from different business viewpoints?
Discuss
Answer: (c).It is event-driven and lacks diverse perspectives Explanation:Operational data is event-driven and lacks diverse perspectives, making it unsuitable for reviewing data from different business viewpoints.
Q19.
What has been the trajectory of the computer department's name in enterprises over the years?
Discuss
Answer: (b).Data processing to management information systems to information systems to information technology Explanation:The name of the computer department in enterprises has changed from "data processing" to "management information systems" to "information systems" to "information technology."
Discuss
Answer: (c).Technology improvements have made computing faster, cheaper, and widely available, facilitating the provision of strategic information. Explanation:Technology improvements have made computing faster, cheaper, and widely available, which facilitates the provision of strategic information.
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