| Papers [1-16] of 39 :: [Page 1 of 3] | | Go to page : 1 2 3 —> | Search results on "DATA WAREHOUSING": |
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Data Warehousing Implementation, 2003.
An analysis of previous literatures on data warehousing implementation issues and guidelines for managers.
4,143 words (approx. 16.6 pages), 37 sources, MLA, AU$ 118.95
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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 $117 million after investing on data warehousing (Anthes 2003)."
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Data Warehousing, 2005.
This paper is a proposed study of data warehousing (DW) to improve decision-making process for a beer manufacturing and distribution company.
4,370 words (approx. 17.5 pages), 26 sources, APA, AU$ 123.95
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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."
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Data Warehousing, 2004.
This paper discusses data warehousing at Humana, Incorporated.
3,390 words (approx. 13.6 pages), 14 sources, APA, AU$ 127.95
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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 ..."
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Data Warehousing, 2006.
A discussion regarding the necessity of data warehousing.
7,795 words (approx. 31.2 pages), 31 sources, MLA, AU$ 180.95
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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."
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Data Warehousing: A Strategic Weapon of an Organization, 2004.
A study proposal to further explore the degree to which data warehousing has been effective in assisting companies with the process and activities of forecasting, as well as in gaining competitive advantage.
10,000 words (approx. 40.0 pages), 20 sources, APA, AU$ 215.95
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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."
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Data Warehousing: A Strategic Weapon of an Organization, 2004.
Presents a research proposal that focuses on data warehousing and its utilization as a strategic weapon to gain competitive advantage within organizations.
2,210 words (approx. 8.8 pages), 16 sources, APA, AU$ 73.95
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Abstract
These paper presents the overall aims and objectives of a research proposal on data warehousing. The paper then provides information that documents the state of the art in research focused on data warehousing within organizations, as well as a justification for further research in this area. Finally, the research methodology to be employed, the deliverables associated with the research, and a work plan are delineated.
From the Paper
"As noted by Foote and Krishnamurthi, (2001), until very recently, the forecasting process used by companies was relatively subjective and was dependent upon the opinions of company executives, sales force analysts, and industry analysts, who were not always extremely reliant in aiding the company to in the production of satisfactory outcomes. Quite frequently, as reported by Foote and Krishnamurthi, companies found that they had missed the mark in forecasting and consequently had failed in achieving profitability, reliability and a competitive vantage position in their industry. Thus, companies are increasingly recognizing the value of investing in an information system to support their forecasting process. According to Foote and Krishnamurthi, a data warehouse has come to be identified as assuming a pivotal role in gaining the knowledge needed by companies to implement reliable systems for forecasting."
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Data Warehousing, 2002.
A look at the process of data warehousing and its benefits.
1,400 words (approx. 5.6 pages), 3 sources, AU$ 56.95
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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.
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Data Warehousing, 2002.
An nnalysis of data warehousing.
1,150 words (approx. 4.6 pages), 4 sources, AU$ 47.95
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Abstract
This paper describes, studies and analyzes the different aspects and importance of implementing data warehousing in organizations.
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Data Warehousing, 2006.
A look at the principles and ethics of data warehousing.
690 words (approx. 2.8 pages), 3 sources, MLA, AU$ 25.95
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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 ..."
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Data Warehousing, 2007.
This paper discusses the value of a data warehouse for businesses and organizations.
4,917 words (approx. 19.7 pages), 10 sources, MLA, AU$ 133.95
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Abstract
The paper explains that data warehousing is a method of bringing together all of a company's data from various computer systems, including those relating to customers, employees, vendors, products, inventory and financials. The data warehouse connects different databases together in order to offer a more comprehensive data set for making decisions. The paper considers how different ways of shaping such warehouses have been developed and how certain organizations have used them to gain control over data and over decision making. The paper concludes that evidence shows how, for organizations that can develop a strong system, data warehousing is worth the cost.
Outline:
Abstract
Introduction
Data Warehousing
Development of Data Warehousing
Examples of Data Warehousing
Conclusion
From the Paper
"Databases have traditionally been used to track individual records, but today's computers can handle data of a much different type that is not easily converted into traditional relational database formats. In many operational information systems, the data represent a structured collection. One record exists for each item and each has the same set of attributes. Information systems also have validation and referential integrity requirements. There should be no duplications, and multiple references for the same classification of data should have the same characteristics (for example, the same address for multiple contacts at a single company in a customer database)."
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Data Warehousing, 2002.
Examines the concepts of datawarehousing and datamining and the implementation of this application.
4,900 words (approx. 19.6 pages), 12 sources, AU$ 190.95
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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.
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Distributed Data Warehouse Systems, 2004.
Considers key factors regarding data warehousing.
678 words (approx. 2.7 pages), 3 sources, MLA, AU$ 25.95
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Abstract
This paper considers key factors regarding data warehousing. It looks at the goal of data warehousing and the differences of data warehousing and relational databases.
From the Paper
"Data warehousing is particularly popular in environments which have complex data requirements and a broad spectrum of data types contained in its database. The goal of data warehousing is to take full advantage of the power of hardware to contain large quantities of data and use the databases to manipulate that data. Although not yet implemented across all computing environments data warehousing is becoming popular as hardware becomes more powerful and cost effective..."
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PanData-A Data Services, 2005.
An analysis of a new company in the data warehousing/data services industry.
3,600 words (approx. 14.4 pages), 11 sources, AU$ 152.95
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Abstract
This paper discusses the realities of a new company in the data warehousing/data services industry and the exigencies of thriving in this field. The types of database products, services and supporting infrastructure are discussed as well as business processes and market requirements. The corporation as a business entity is also discussed in terms of its use and implementation of current and emerging technologies, change management techniques and the Internet as a tool and device.
From the Paper
"PanData is a data intelligence business concentrating on the data services industry: warehousing, intelligence, customer relations management (CRM) and list generation. PanData amasses data on the Retail & Foodservice Industries across the North American continent. It has over 70k unique companies in its database. The collected data consists of the following data elements: company contact information, personnel--CEO to mid-level management & buyers, trade areas, products, franchise information, parent companies, locations--geo-codes and addresses, market share information, technology related information--POS hardware/software, scanners, software systems, servers (corporate and in-store), databases/data warehouses, communications and connectivity, EDI, RFID, and Wifi. The types of data are considerable and this list is not all-inclusive. PanData envisions revenue in excess of 10m annually and this revenue is PanData's long-term goal. "
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Enterprise Architecture Planning, 2002.
This paper is a case study that uses the principles of Enterprise Architecture Planning (EAP) to correct a data warehousing IS (Information Systems) solution selection problem.
1,815 words (approx. 7.3 pages), 4 sources, AU$ 62.95
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Abstract
This paper describes the four stages of Enterprise Architecture Planning: Developing a framework for the plan, performing initial migration, performing major application migration and the post-migration stage. The author believes that while executive support is critical for an enterprise-wide project, it also is important that the users understand the benefit of the system and have input into its design. The paper states that using EAP means the company starts by defining the action, technology and transition programs needed well before a budget or timeline is established and the project itself is defined.
Table of Contents
Introduction
Background
Analysis of Previous Data Warehousing Experience
Recommendations for Future Data Warehousing Project
Conclusion
From the Paper
"User education can be critical to the success of EAP, and requires that the company not just seek information from users (as SPFIS did), but also "sell" users on the benefits of the new architecture (which SPFIS did not). The users expected a system which provided them with the same information they had previously, including the same type of reports (not taking into account that their reports were previously generated by individual users). Instead of working with the users to explain how the new reporting system would meet their needs, albeit in a somewhat different form, the users were expected to embrace the new system simply because the CEO wanted it to be so. With earlier "buy-in" by the users, the system could have been better designed to meet their needs and would have had a better chance of providing the maximum benefit to the organization."
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Database Warehousing, 1999.
Examines technology, access, applications, individual and corporate aspects, benefits, examples, data mining, banking and the future.
2,025 words (approx. 8.1 pages), 10 sources, AU$ 76.95
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Abstract
The concept of the data warehouse has recently gained considerable attention as it is a way to organize data which gives access to data to various databases, but which is not a database management system itself. Data warehousing is particularly popular in environments which have complex data requirements and a broad spectrum of data types contained in its database.
From the Paper
"The Current State of Database Warehousing
Introduction
The concept of the data warehouse has recently gained considerable attention as it is a way to organize data which gives access to data to various databases, but which is not a database management system itself. Data warehousing is particularly popular in environments which have complex data requirements and a broad spectrum of data types contained in its database. The goal of data warehousing is to take full advantage of the power of hardware to contain large quantities of data and use the databases to manipulate that data. Although not yet implemented across all computing environments, data warehousing is becoming popular as hardware becomes more powerful and cost effective. This research examines data warehousing including how data ..."
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Outsourcing Transportation and Warehousing, 2002.
Examining the advantages and disadvantages of outsourcing for specific businesses.
3,157 words (approx. 12.6 pages), 7 sources, MLA, AU$ 97.95
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Abstract
This report investigates the advantages and disadvantages of outsourcing transportation and warehousing for a manufacturing organization. Firstly, the advantages and disadvantages are listed and described. This leads to a final consideration of what questions need to be answered to determine if a specific organization will benefit from outsourcing.
From the Paper
"Outsourcing transportation and warehousing has become common practice for many manufacturing organizations. It is reported that, "As American businesses seek to reduce costs, to increase productivity and to provide the services demanded by their customers, their use of contract logistics has increased dramatically" (Urban Wallace Associates 2002). In 1995, contract logistics was a market worth over $20 billion with it expected that this market will almost triple by 2000 (Urban Wallace Associates 2002)."
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