Data Warehousing

Paper Summary:

This paper explains that one of the major challenges in any data-warehousing project is the proficient amalgamation of large volumes of information of data available for analysis, which must include the customer database, the supplier database and the distributor database, all well integrated into the data-warehousing project. The author points out that data warehousing is an expensive undertaking especially because the beer industry depends extensively on distributors and suppliers and must maintain data on their extensive logistic and distributing channels. The paper stresses that knowledge acquisition is the first step for gaining advantages in the market place; therefore, data warehousing should facilitate internal research to identify new ways of doing tasks within the organization and systematic problem solving efforts. Illustrations.

Table of Contents
Introduction
Objective
Problem Statement
Hypothesis
Methodology
Sampling Procedures
Sources of Data
Literature Review of Data Warehousing
Discussion
Recommendations
Conclusion

From the Paper:

"Interviews will also be conducted with an additional 50 companies to identify the applications, if any, of data warehousing and the impact that this concept has made on the organization as a whole. This interview will be based on a fixed set of questions. All of the questions will be discussed with every individual. Interviews, in addition to data collection relevant to the question asked, can also identify the non-verbal reactions to the questions asked. Non-verbal communication could be in the form of the comfort level that the interviewee displays, the hand and eye movements and the facial expressions that might be made. The success of data collection using the interview methods is also dependent on the skill and personality of the interviewer. An interviewer who is able to introduce a level of comfort and camaraderie in the interviewee may be able to get more realistic and correct answers. Questions used in the study can be open-ended, where the subject is free to answer the question and discuss relevant issues that might be relevant to the question."

More papers on Data Warehousing:

• Research Paper # 71893 : "Data Warehousing "
• Essay # 36449 : "Data Warehousing"
• Essay # 71330 : "Data Warehousing "
• Essay # 36248 : "Data Warehousing"

APA Citation:

MLA Citation: