Made available in DSpace on 2014-06-12T17:40:03Z (GMT). No. of bitstreams: 2 arquivo7002_1.pdf: 1571231 bytes, checksum: cebc67c576395c8690fff85d3b2170bb (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2004 / Aplicativos computacionais utilizam diferentes estruturas de programação, sintaxe, e semântica para modelar seus metadados, gerando grandes incompatibilidades quanto há a necessidade de interação com outras aplicações. O OMG vem trabalhando no estabelecimento do CWM (Common Warehouse Metamodel) como padrão para a integração de metadados nos domínios de data warehouse e business intelligence. Nesta dissertação primeiramente foram abordados os aspectos gerais dos metadados e de suas arquiteturas de integração, para em seguida se pesquisar a aplicação dos metamodelos que compõem o CWM e suas tecnologias de fundamentação (UML, MOF, XMI) Desenvolveu-se a modelagem de um aspecto referente ao orçamento público existente em todas as instancias governamentais utilizando-se alguns dos metamodelos CWM, como forma de se demonstrar a facilidade na troca de metadados entre os diversos recursos de dados

Omvärlden ändras snabbt, vilket sätter press på moderna organisationer. Organisationer kan därför använda sig av Business Intelligence (BI) till att fatta bra och effektiva beslut. Enligt författare till litteratur, skribenter på Internettidningar, och debattörer på Internet, kan det dock vara skillnad på hur BI används i små och stora organisationer, då dessa inte har samma förutsättningar till BI användande (Chang, 2009). Vid påbörjandet av denna studie var det oklart hur SME och stora organisationer använder BI, samt på vilket sätt BI användande i SME och stora organisationer skiljde sig, och vad denna skillnad bestod av. Det fanns alltså kunskapsbrist inom detta område inom BI. För att berika ämnet BI med ny kunskap gjordes därför en studie där BI användandet i SME och stora organisationer beskrevs, samt redogjordes det för de skillnader som upptäcktes mellan BI användandet i SME och stora organisationer. Andra författare hade visserligen skrivit om BI användande i SME, fast de hade inte gjort någon typ av jämförelse mellan BI användande i små och stora organisationer. Även detta sågs som kunskapsbrist. En induktiv ansats med kvalitativ metod användes när empiri insamlades. Fokus var att samla mycket information av bra kvalitet om få enheter, vilket dessa metoder lämpade sig bra till. Totalt intervjuades sex enheter. Fem enheter intervjuades personligt, och en enhet fick svara på enkätfrågor samt intervjuades via telefon. För att kunna beskriva de fenomen som uppstod i empirin utifrån en "BI synvinkel" användes en teoretisk bakgrund när studien gjordes. Den teoretiska bakgrunden beskrev bland annat vad BI är för något, hur det används, varför det används, samt de komponenter och aktiviteter som hör till BI. I diskussionskapitlet redovisades och diskuterades SME och stora organisationers BI användande, samt den skillnad som upptäcktes gällande BI användandet. Dessa resultat kopplades också till den teoretiska bakgrunden för att beskrivas utifrån en "BI synvinkel". Resultaten kopplades även till den tidigare forskning som var gjord om detta ämne för att se vilka likheter och skillnader som fanns. Slutsatserna i uppsatsen tydde på att det inte fanns särskilt många skillnader mellan SME och stora organisationers BI användande. Slutsatserna tydde även på att resultaten inte var generella, då få enheter undersöktes. Resultaten ansågs dock som konkreta då skillnaderna(och likheterna) som faktiskt fanns, framkom tydligt. Slutligen gavs förslag på fortsatt forskning till läsarna och förslag på hur en studie likt denna kan bli mer "generaliserbar".

Thesis (Ph. D.)--University of Texas at Austin, 2000. / Vita. Includes bibliographical references (leaves 159-167). Available also in a digital version from Dissertation Abstracts.

Zugl.: München, Universiẗat, Diss., 2007.

Zugl.: Bamberg, Univ., Diss., 2009

This diploma thesis deals with the creation of module for the company Student-living, s.r.o. designed to simplify the analysis and interpretation of the data contained in the database of the real estate portal Studentreality. This module will use the company's management and staff, as well as property owners who advertise on the portal. Before the creation precedes familiarization with the current system, database and technology that will be used for implementation. Followed by the main part describing the design and implementation of the module itself.

Business intelligence (BI) can be described as a “managerial concept” or “process.” It is used to assist organisations to manage business information and information technology to make effective decisions. Measuring both tangible and intangible benefits of BI projects remains a significant challenge for South African banking institutions. The output of BI projects is intelligence, which makes the assessment of value difficult. The aim of this study was to gain an understanding as to what are the benefits of implementing BI solutions for a single South African banking institution, Absa. A phenomenological research methodology was used to collect, analyse and interpret the data. A combination of questionnaires and semi structured interviews was used for data collection purposes. The research gauged the BI users’ perceptions of what are the benefits associated with various BI solutions and how they could be measured. Results showed that Absa uses numerous approaches to calculate the benefits of its BI implementations. The research also identified various tangible and intangible benefits of BI solutions in Absa. Furthermore results suggested that there was a genuine need to capture and measure these benefits however, users of these BI solutions required assistance in the form of a guideline or tools to calculate them. Financial metrics such as ROI, was only partially serving this purpose for Absa. These findings together with insights gleaned from the literature review were then be used to suggest a process for the measurement and identification of BI benefits in Absa. Further recommendations and suggestions for future study are stated in the concluding chapter of the research. / Dissertation (MBA)--University of Pretoria, 2010. / Gordon Institute of Business Science (GIBS) / unrestricted

Background: Business intelligence (BI) is regarded as a key practice to invest into and adopt. This is due to the benefits that can be realized from BI. Critical success factors (CSFs) need to be managed appropriately for organizations to realize maximum benefit from their BI investments. Objective: The objective of this study is to measure the influence of BI CSFs on BI net benefits. In addition, the interrelationships between these CSFs will be measured, the effect of moderating variables will be determined and the reasons why these CSFs are important will be explored. Method: A deductive approach was followed. A conceptual model was derived from literature. This model was used to construct an online survey. The data gathered from the survey was analysed using statistical techniques. The results from the statistical analysis were validated and expanded on by conducting semi-structured interviews with participants who completed the online survey. Results: The results found that top management support, alignment between BI and business objectives and BI technology fit for the business were determined to be the most influential BI CSFs to realize BI net benefits. Top management support was shown to have a relationship with all other CSFs. Well-defined user requirements and user participation did not have a relationship with BI net benefits. Industry and size moderated a small portion of the relationships between BI CSFs and BI net benefits. Conclusion: Organizations need to prioritize top management support, alignment between BI and business objectives, BI technology fit for the business, incremental project management methodology and adequate team skills, to realize BI net benefits. Special attention should be given to top management support as it influences all other BI CSFs.

The thesis is focused on the area of Business Intelligence Governance that seeks to management BI as a complex environment in an organization. The goal of this thesis is to create comprehensive BIG framework that will help to understand and lead BI, to support business strategy execution. The fist part of this thesis is introduction to the area of BIG. It contains definition of the term BI, description of trends in BI, definition of the term BIG and the answer on question Why do we need to governance BI. The second part focuses on description and evaluation of existing BIG instruments. The third part handles about new BIG framework and authorities. It describes particular building blocks of the framework and discovers structure of BIG authorities.

Diss. St. Gallen, 2008 ; no. 3399. / Literaturverz.