adplus-dvertising
frame-decoration

Question

What is a critical principle in the success of a data warehouse project?

a.

Frequent changes in the project scope

b.

Strong and committed executive sponsorship

c.

Limited monitoring of slippage

d.

Giving in to analysis paralysis

Answer: (b).Strong and committed executive sponsorship Explanation:Strong and committed executive sponsorship is critical to the success of a data warehouse project.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. What is a critical principle in the success of a data warehouse project?

Similar Questions

Discover Related MCQs

Q. What is a significant guiding principle for project management in data warehouse projects?

Q. What does the term "analysis paralysis" refer to in the context of project management?

Q. What is a critical aspect of data in the data warehouse?

Q. Why is setting expectations at the right and attainable levels important in data warehouse projects?

Q. What is one of the major guiding principles of project management for data warehouse projects?

Q. What should the project manager's focus be in a data warehouse project?

Q. What is essential for dealing with the unexpected challenges in data warehouse projects?

Q. What are the three critical aspects of data in a data warehouse project?

Q. What is the driving force behind every task on the project schedule for a data warehouse project?

Q. What should you do when you spot a warning sign in your data warehouse project?

Q. What are some indicators of success in a data warehouse project that can be observed within a short time after implementation?

Q. What are some key success factors for a data warehouse project?

Q. What is the primary focus when analyzing the details of a real-world successful project?

Q. What is emphasized when adopting a practical approach in managing a data warehouse project?

Q. What is one of the tips for adopting a practical approach in a data warehouse project?

Q. What attracts users to a data warehouse?

Q. What should you establish up front to manage user expectations realistically?

Q. When planning for a data warehouse, which issues should be considered?

Q. What must drive a data warehouse project?

Q. What is the consequence of a data warehouse project lacking full support from top management and an enthusiastic executive sponsor?