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Welcome to the Planning and Project Management MCQs Page

Dive deep into the fascinating world of Planning and Project Management with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Planning and Project Management, a crucial aspect of Data Warehousing and OLAP. In this section, you will encounter a diverse range of MCQs that cover various aspects of Planning and Project Management, 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 Planning and Project Management. 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 Planning and Project Management. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Planning and Project Management MCQs | Page 2 of 10

Explore more Topics under Data Warehousing and OLAP

Q11.
What should drive a data warehouse project?

a.

Technology

b.

Business requirements

c.

Tool selection

d.

Architecture

Discuss
Answer: (b).Business requirements Explanation:Business requirements should drive a data warehouse project, not technology.
Q12.
What should you focus on before building a data warehouse?

a.

Tool selection

b.

Demonstrating technology prowess

c.

Solving users' need for strategic information

d.

Database management

Discuss
Answer: (c).Solving users' need for strategic information Explanation:Before building a data warehouse, you should focus on solving users' need for strategic information.
Q13.
What kind of information should you gather in the preliminary survey for a data warehouse project?

a.

Detailed technical specifications

b.

User contact information

c.

Information on source systems, architecture, and data quality

d.

A comprehensive list of data warehouse tools

Discuss
Answer: (c).Information on source systems, architecture, and data quality Explanation:In the preliminary survey for a data warehouse project, you should gather information on source systems, architecture, and data quality.
Q14.
Why is top management support crucial for a data warehouse project?

a.

Top management can make technical decisions.

b.

Top management ensures the project stays within budget.

c.

The project must have support from senior management due to its organization-wide impact.

d.

Top management approves all project expenditures.

Discuss
Answer: (c).The project must have support from senior management due to its organization-wide impact. Explanation:Top management support is vital because a data warehouse project typically affects the entire organization. It's not limited to a single department or group. Senior management can help resolve conflicts, provide direction, and ensure the project aligns with the company's strategic goals.
Q15.
What should be used to justify the total cost of a data warehouse project?

a.

Hardware costs

b.

Cost-justification analysis

c.

Intuition and potential competitive pressures

d.

ROI and ROA calculations

Discuss
Answer: (b).Cost-justification analysis Explanation:To justify the total cost of a data warehouse project, a cost-justification analysis is essential. This analysis compares the costs of building and maintaining the data warehouse with the expected benefits. It helps in assessing whether the investment is justified based on tangible and intangible benefits.
Q16.
Which of the following is one of the typical approaches to justify a data warehouse project?

a.

Use intuition and potential competitive pressures without formal justification.

b.

Calculate the business value of the data warehouse.

c.

Include all tangible and intangible benefits.

d.

Calculate the ROI without considering costs.

Discuss
Answer: (b).Calculate the business value of the data warehouse. Explanation:Calculating the business value of the data warehouse is one of the typical approaches for justifying the project. This approach involves estimating the financial impact of the data warehouse on business metrics such as profits, revenue growth, market share, and cost reduction. It provides a clear rationale for the project's investment.
Q17.
What is the role of top management support in a data warehouse project?

a.

Managing ETL processes

b.

Resolving technical issues

c.

Providing strategic direction and support

d.

Implementing data visualization tools

Discuss
Answer: (c).Providing strategic direction and support Explanation:Top management support is crucial for providing strategic direction and support to a data warehouse project.
Q18.
In the context of data warehousing, what does ROI stand for?

a.

Return on Investment

b.

Report on Integration

c.

Role of Information

d.

Resolutions of Issues

Discuss
Answer: (a).Return on Investment Explanation:ROI stands for Return on Investment in data warehousing.
Q19.
Which component of data warehouse costs is typically the highest?

a.

Hardware

b.

Software

c.

Staff and system integrators

d.

Administration

Discuss
Answer: (c).Staff and system integrators Explanation:Staff and system integrators account for 35% of data warehouse costs, making it the highest component.
Q20.
In companies where data warehousing is introduced without a full cost-justification analysis, what is the basis for justification?

a.

Intuition and potential competitive pressures

b.

Comprehensive cost-benefit analysis

c.

Senior management approval

d.

Technological innovation

Discuss
Answer: (a).Intuition and potential competitive pressures Explanation:In some companies, data warehousing is justified based on intuition and potential competitive pressures.
Page 2 of 10

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