What is the role of distributed data warehousing in business intelligence and analytics? Provide examples of distributed data warehousing solutions.

Define the concept of data warehousing and its importance in modern business intelligence.

Illustrate three of the six ways of communicating supportive verbal messages. Provide a real-life example for each illustration.

Describe the challenges associated with implementing business intelligence.

Describe the value of business intelligence and the role that BI software plays in achieving that value.

Describe the purpose of business intelligence and the importance of BI tools.

While focused upon the luxury good marketplace, LVMH did not focus only on one product, but on a great number of products and services. In executing such perspectives did LVMH have a diversification strategy that was too broad in scope and/or potentially cumbersome?

What is prescriptive analytics? What kinds of problems can be solved by prescriptive analytics? Which retail stores that you know of employ some of the analytics applications identified in this section? List the 11 categories of players in the analytics ecosystem.

How does data modeling support the development of effective Business Intelligence (BI) systems?

How does data warehousing facilitate decision support and business intelligence applications within an organization?