adplus-dvertising
frame-decoration

Question

What is the goal of building data warehouses in terms of business intelligence?

a.

Minimizing the user group

b.

Reducing OLAP capabilities

c.

Obtaining lasting value for strategic decisions

d.

Limiting information accessibility

Answer: (c).Obtaining lasting value for strategic decisions Explanation:The goal of building data warehouses is to obtain lasting value for strategic decisions through business intelligence.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. What is the goal of building data warehouses in terms of business intelligence?

Similar Questions

Discover Related MCQs

Q. How did early data warehouses start in terms of user groups?

Q. What was a limitation of second-generation decision support systems running on client/server architecture?

Q. What impact has the Web had on information delivery in Web-enabled data warehouses?

Q. What question arises regarding OLAP systems in a Web-enabled data warehouse?

Q. What are the three approaches to implementing OLAP in a Web-enabled data warehouse?

Q. What is a characteristic of the approach, using browser plug-ins for OLAP implementation?

Q. What is a disadvantage of the approach, providing pre-created HTML documents for OLAP?

Q. What is a key advantage of the approach, implementing OLAP in the server?

Q. What benefits does the approach, OLAP in the server, provide in a production environment?

Q. What is a critical factor in the design of the OLAP engine for a Web-enabled data warehouse?

Q. What does a properly designed OLAP engine produce in terms of performance as the number of concurrent users increases?

Q. What is a potential disadvantage of an OLAP engine that depends completely on the RDBMS for multidimensional processing?

Q. What challenges arise with an OLAP engine that relies on the RDBMS for multidimensional processing?

Q. How does the number of concurrent users impact an OLAP system that depends on the RDBMS?

Q. What are two problems associated with an OLAP engine that generates SQL to access summary data and performs all processing on a middle tier?

Q. What is a potential issue with an OLAP engine that relies completely on the RDBMS for multidimensional processing?

Q. What is an advantage of an intelligent OLAP engine in distributing joins, aggregations, and calculations?

Q. What does the intelligent OLAP engine have the ability to do regarding the type of request and its optimal processing location?

Q. How does the intelligent OLAP engine contribute to system processing in a Web-enabled data warehouse?

Q. What is the primary purpose of a data warehouse in the context of the Web?