Thesis (M.S.C.I.T.)--Regis University, Denver, Colo., 2009. / Title from PDF title page (viewed on May 28, 2009). Includes bibliographical references.

Dissertation (Ph.D.)--Worcester Polytechnic Institute. / Keywords: View Matching; View Maintenance; Materialized View; Data Warehouse; Information Integration. Includes bibliographical references. (p.206-215)

In most research, appropriate collections of data play a significant role in aiding decision-making processes. This is more critical if the data is being accessed across organisational barriers. Further, for the data to be mined and analysed efficiently, to aid decision-making processes, it must be harnessed in a suitably-structured fashion. There is, for example, a need to perform diverse data analyses and interpretation of structured (non-personal) HIV/AIDS patient-data from various quarters in South Africa. Although this data does exist, to some extent, it is autonomously owned and stored in disparate data storages, and not readily available to all interested parties. In order to put this data to meaningful use, it is imperative to integrate and store this data in a manner in which it can be better utilized by all those involved in the ontological field. This implies integration of (and hence, interoperability), and appropriate accessibility to, the information systems of the autonomous organizations providing data and data-processing. This is a typical problem-scenario for a Virtual Inter-Organisational Information System (VIOIS), proposed in this study. The VIOIS envisaged is a hypothetical, secure, Wireless Grid-enabled Data Warehouse (WGDW) that enables IOIS interaction, such as the storage and processing of HIV/AIDS patient-data to be utilized for HIV/AIDS-specific research. The proposed WDGW offers a methodical approach for arriving at such a collaborative (HIV/AIDS research) integrated system. The proposed WDGW is virtual community that consists mainly of data-providers, service-providers and information-consumers. The WGDW-basis resulted from systematic literaturesurvey that covered a variety of technologies and standards that support datastorage, data-management, computation and connectivity between virtual community members in Grid computing contexts. A Grid computing paradigm is proposed for data-storage, data management and computation in the WGDW. Informational or analytical processing will be enabled through data warehousing while connectivity will be attained wirelessly (for addressing the paucity of connectivity infrastructure in rural parts of developing countries, like South Africa).

Pallets form the base of the unit load, which is the basis for global trade transportation. In order to achieve better performance, improve efficiency, and compete in much more versatile markets, industrial activities and pallet management service firms are becoming more automated than ever; they are adopting advanced manufacturing technologies and flexible manufacturing systems. This study focuses on the investigation of the most common compatibility issues between pallets and material handling systems in semi-automated and fully-automated warehouses. At the same time, it establishes an understanding of the downtime and frequency of problems caused by pallets in these types of facilities. This research was conducted in two phases. The primary phase was a mix mode questionnaire (phone interview and hard copy questionnaire) that was used to survey members of different industries, such as pallet manufacturers, equipment manufacturers, and pallet users. The secondary phase surveyed multiple general warehouses and storage facilities around the U.S., and surveyed warehouse professionals from manufacturing companies in the pharmaceutical, petroleum, dairy, beverage, chemical, and tobacco industries, to name a few. Results showed that 3% of the respondent warehouses are fully automated, and 20-30 % are semi-automated. Additionally, block class wooden pool pallets were identified as the most common pallet class used in semi/fully automated warehouses, followed closely by the use of stringer class recycled wooden pallets. Despite this, stringer class recycled wooden pallets were identified as the main pallet class involved in pallet related downtime in semi/ fully automated warehouses/ DC facilities. Further results present a guideline for improving automated warehouse performance, determine the pallet characteristics needed for this type of application, and expands the knowledge around downtime frequency cause by pallet related issues in these types of systems. / Master of Science / Pallets are the main tool used to transport unit loads throughout the different supply chains worldwide. Currently, industrial activities are becoming more automated than ever; in order to achieve better performance, improve efficiency, and compete in much more versatile markets. This study investigates the most common compatibility issues between pallets and material handling systems, used in semi-automatic and fully-automatic warehouses. Additionally, it presents the downtime and frequency of problems caused by pallets in these types of facilities. This research was conducted in two phases. The first phase identified the most common compatibility issues between pallets and these types of systems; this phase was achieved by surveying members of different industries such as pallet manufacturers, equipment manufacturers, and pallet users. The second phase targeted multiple general warehouses and storage facilities around the U.S.; during this phase, the frequency and downtime of the most common compatibility issues were determined. Results from this investigation present a guideline for improving automatic warehouse performance, determine the pallet characteristics needed for this type of application, and expands the knowledge around downtime frequency cause by pallet related issues in these types of systems.

Data warehousing (DW) in the last decade has become the technology of choice for building data management infrastructures to provide organizations the decision-making capabilities needed to effectively carry out its activities. Despite its phenomenal growth and importance to organizations the rate of DW implementation success has been less than stellar. Many DW implementation projects fail due to technical or organizational reasons. There has been limited research on organizational factors and their role in DW implementations. It is important to understand the role and impact of both technical but organizational factors in DW implementations and their relative importance to implementation performance. A research model was developed to test the significance of technical and organizational factors in the three phases of implementation with DW implementation performance. The independent variables were technical (data, technology, and expertise) and organizational (management, goals, users, organization). The dependent variable was performance (content, accuracy, format, ease of use, and timeliness). The data collection method was a Web based survey of DW implementers and DW users sampled (26) from a population of 108 identified DW implementations. Regression was used as the multivariate statistical technique to analyze the data. The results show that organization factors are significantly related to performance. Also, that some variables in the post-implementation phase have a significant relationship with performance. Based on the results of the tests the model was revised to reflect the relative impact of technical and organizational factors on DW performance. Results suggest that in some cases organizational factors have a significant relationship with DW implementation performance. The implications and interpretation of these results provide researchers and practitioners' insights and a new perspective in the area of DW implementations.

Thesis (M.B.A.)--University of Hong Kong, 1998. / Includes bibliographical references.

Made available in DSpace on 2014-06-12T15:55:09Z (GMT). No. of bitstreams: 2 arquivo2165_1.pdf: 4172677 bytes, checksum: ea3ea3e11ec0d8121f94e360f3eba253 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2010 / Nos dias atuais, uma das ferramentas mais utilizadas de Business Intelligence (BI) para o suporte à decisão da alta gerência de grandes companhias é o Data Warehouse (DW). O DW é um banco de dados que armazena seus dados de uma forma especial para que se otimizem as consultas orientadas ao negócio, além dos dados terem como características a não volatilidade, serem históricos e integrados. O ambiente em que o DW está inserido é o Data Warehousing que contempla não só o DW mais outros componentes que o ajudam a desempenhar a sua atividade fim. O aumento da quantidade de usuários utilizando esse ambiente, o crescimento exponencial do tamanho do DW, além da necessidade de otimizar as consultas e atender localmente os interesses da diretoria dos departamentos ou filiais específicas, fez com que pesquisadores da área de banco de dados buscassem soluções para obter a distribuição dos dados e consultas de uma forma transparente e segura em um ambiente de data warehousing. Atualmente, existem vários trabalhos correlatos nessa linha de pesquisa, porém nenhum demonstra na prática o resultado efetivo de uma arquitetura que contemple essas vantagens. Esse trabalho toma como base a arquitetura do sistema WebD²W (Web Distributed Data Warehousing) proposta por Cristina Ciferri para efetivar essa distribuição. Assim, foram desenvolvidos o componente de distribuição, utilizando o conceito de grafos de derivação para o desenvolvimento de algoritmos de fragmentação horizontal e mista, e o componente de consulta do ambiente distribuído, estendendo o servidor OLAP Mondrian para atender às necessidades impostas por essa nova arquitetura. Finalmente, um DW de uma rede de locadoras de DVD foi gerado para ser utilizado como estudo de caso para mostrar a aplicabilidade e eficiência desses componentes

ABSTRACT In recent years, Customer Relationship Management (CRM) and One to One Marketing have become two hit topics. Many enterprises have invested huge amount of money and manpower in these fields, hoping to build up a perfect model of customer management. Their major purpose of doing so is in desiring to raise their customer loyalty, therefore can create their corporation profits. In order to achieve this goal, they have to start to understand their customers. Advocators of One to One Marketing, Peppers and Rogers¡]1995¡^, have declared that reducing churn rate by 5% increases profit by 100%. Core value of marketing is going to shift from ¡§product¡¨ to ¡§customer¡¨. Whoever owns the most customer knowledge owns the most customer capitals in 21st century. Through Data Mining, a business can categorize its mass database into valuable information of customer behavior model. For learning to take place, data from many sources¡Xbilling records, scanner data, registration forms, applications, call records, coupon redemptions, surveys¡Xmust first be gathered together and organized in a consistent and useful way. This is called data warehousing. Data warehousing allows the enterprise to remember what it has noticed about its customers. Next, the data must be analyzed, understood, and turned into actionable information. That is where data mining comes in. By means of case study and grounded-theory, this article is in research of linkage between Data warehousing and increase of corporate value. As many business do not share their study outcome and experience on customer knowledge, this research provides a proof on how Data warehousing can efficiently support a business in reducing its churn rate and creating more business value.

Diss. (sammanfattning) Stockholm : Stockholms universitet, 2005. / Härtill 8 uppsatser.

Dissertation (Ph.D.)--University of Toledo, 2005. / Typescript. "Submitted as partial fulfillment of the requirements for the Doctor of Philosophy degree in Manufacturing Management and Engineering. " "A dissertation entitled"--at head of title. Title from title page of PDF document. Bibliography: p. 113-118.