Abstract
This paper explains the general concept of data warehousing . The paper explores the use of data warehousing at Humana, Inc., a giant healthcare company. The paper explains the strengths and weaknesses of data warehousing at Humana.

From the Paper
"Humana Incorporated is a healthcare company with ... billion in revenue and stakeholders that include medical professionals, employees, corporate clients and other agents. Until early ..., the company had separate databases for various parts of its business making it difficult to understand the large amounts of data that was being generated by the organization and even making it difficult for healthcare providers to have access to all appropriate information on occasion. As a result, the company developed a data warehouse that uses two discrete data ..."

Tags:Humana, data warehousing

Abstract
The report starts with the basics of data warehousing and later gives an overview of the framework that should be followed by management for optimum utilization of resources in data warehousing.

Tags:data, warehousing

Abstract
This paper explores data warehousing in terms of data mining with intelligent agents such as bots and ants and clarifies the ethical dilemma posed by the use of such data.

From the Paper
" Data warehousing is no longer simply a storage system for data. Today's data warehousing involves innovative technological software, automated agents known as intelligent agents robots-or bots and ants. These agents ..."

Tags:data warehousing, data mining, intelligent agents, robots, bots, ants, personalization, ethics

Abstract
This paper describes, studies and analyzes the different aspects and importance of implementing data warehousing in organizations.

Tags:analysis, data, warehousing

Abstract
Many authors have provided an enormous amount of literature on data warehousing concepts, processes, and characteristics. However, the key to a successful data warehouse is proper implementation. Previous publications have come up with different ideas and methods to implement a data warehouse successfully. Managers don?t have enough time to go through all these readings This paper provides an integration of the various implementation guidelines with practical examples ranging from the FBI to Wal-Mart.

I. Introduction
II. Basic Definitions and Concepts of Data Warehousing
III. Brief History of Data Warehousing
IV. Data Warehousing Characteristics
V. Drivers of Data Warehousing
VI. Data Warehousing Process
VII. Current Issues and Practices of Data Warehousing
VIII. Guidelines in Implementing a Data Warehouse
IX. Conclusions, Limitations, and Future Research Guidelines
X. References

From the Paper
"Data warehousing is one of the hottest developments of the 1990s. In 1998, the expenditure on data warehousing was $14 600 million (META Group 1996). It is estimated that 95% of the Fortune 1000 either have a data warehouse or are planning to develop one (META Group 1996). A data warehouse may help increase a company's sales by supporting decision-making and understanding consumer behavior. For example, Office Depot sales increased by $117 million after investing on data warehousing (Anthes 2003)."

Tags:warehousing, fbi, walmart

Abstract
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."

Tags:correlation, interviews, amalgamation, information, channels

Abstract
The paper examines how manufacturing companies are relying on data warehousing for more effective new product development and introduction (NPDI) processes, workflows and strategies. The paper focuses on data warehousing's contributions to value chain performance and customer relationship management strategies. The paper clearly demonstrates how data warehousing is now a competitive weapon used at the strategic level of companies looking to gain greater efficiencies from every area of their value chains. The paper includes two diagrams.

Outline:
Introduction
Data Warehousing's Contributions to Value Chain Performance
Creating Competitive Advantage Using Data Warehousing in Customer Relationship Management Strategies
Conclusion

From the Paper
"The strategic framework of the value chain (Porter, 1986, 9) provides a frame of reference for illustrating how data warehousing is making strategic contributions across entire enterprises. The increased accuracy and velocity of information made possible through integrated data warehousing strategies has the potential to significantly redefine entire companies (Johnson, 2009, 9). As the value chain framework as defined by Porter (1986, 9) compares the functional areas of Inbound Logistics, Operations, Outbound Logistics, Marketing & Sales and Aftersales Service while also showing support activities, this framework illustrates just how critical interprocess and system integration is in any value chain strategy."

Tags:Continental, Airlines, Wal-Mart, Porter, value, chain

Abstract
This paper analyzes the interrelated topics of data warehousing and datamining. The author begins by defining the terms, then giving a brief overview of how and why the two concepts emerged. The author then discusses some of the issues involved when implementing a data warehousing/datamining application. Then, the author launches into a description of datamining and why it is an essential aspect of data warehousing. After a discussion of why an implementation is difficult and why man fail, the author then assesses how the two concepts may be of interest to those in the food service industries. The author closes the piece by discussing the case of Pizzeria Uno, a casual dining franchise which became more profitable from data warehousing and datamining.

Abstract
This paper presents a study that aims to further establish the degree to which data warehousing has been used by organizations in achieving greater competitive advantage within the industries and markets in which they operate. In chapter One of this paper, an introduction of the study is provided, with the overall aims and objectives of the research proposal discussed. Chapter Two involves literature review on the subject. Chapter Three explains the research methodology, and Chapter Four uses this proposal on four case studies. Finally, Chapter Five provides a discussion and a review of the results.

Table of Contents
Introduction
Aims of the Study
Objectives of the Study
Significance of and Justification for the Study
Literature Review
Data Warehousing: Background
Deployment Obstacles
Data Warehouse Design
Benefits and Disadvantages Associated with Data Warehousing
Conclusions
Research Methodology
Research Design
Data Collection
Data Analysis
Results of the Study
Case Study One: Godrej Consumer Products Limited
Case Study Two: Safeway
Case Study Three: Wachovia Corporation
Case Study Four: Standard Chartered Bank
Discussion
Review of the Results
References

From the Paper
"Three of the companies were in periods of ongoing growth in relation to the evolution of data warehousing and its use within the companies while one company was still in the initiation-early deployment phase. While it would appear that some were in the maturity stage, most had specific plans for using the data warehouse as the basis for launching new business activities and strategies. On the basis of this evidence, it is particularly important to note that even during the initiation phase, it was possible for companies to begin to recognize gains in competitive advantage, which further supports the potential for data warehousing to aid businesses in gaining competitive ground."

Tags:documentation, OLTP, DSS, analyst

Abstract
This paper looks at the cost effectiveness of data warehousing with consideration toward high availability and business continuity plans. The paper reviews literature and addresses 'real world' examples from companies that use data warehousing in their business continuity plans. According to the paper, all businesses should have continuity plans and those plans should include data warehousing set up with high availability.

Table of Contents:
Outline
Abstract
Introduction
Discussion
Conclusion
References

From the Paper
"Organizations are increasingly dependent upon IT systems and infrastructure. Eventually, these organizations are subjected to many risks, so their business is inherently risky. "Even brief business interruptions can mean reduced revenues, lost customers or reduced market share," says Davies and Walters (Davies and Walters, 1998, p.5). This is true of all businesses, not just banks or hospitals, and since more businesses are doing their business on the Web, there is the potential for much larger amounts of lost revenue if people cannot access the site or find the information that they need, or if those same people have difficulty processing an order. The same is true of companies that do not do business on the Web, but Web business makes things much faster and more convenient for many people. It also creates more of a chance for error, which is why redundancy and data warehousing are so important."

Tags:Testing, policies, disaster, inventory, mobile, end-users, functions, IT, support, Morgan, Stanley