Thesis (M.A.)--Guo li Taiwan da xue. / Reproduced from typescript. On double leaves. Bibliography: p. 269-274.

The main objective of the thesis is to present SaaS business intelligence as a set of concepts and methods aimed at improvement of business decision making process based on Software as a Service model. To understand this, it's important to describe first general principles, on which are based conventional so-called on-premises solutions and the means how they work. It's also necessary to present Software as a Service as today's very popular software deployment model. Further objective is the description of these solutions, introduction of their strengths, weaknesses and guidelines how to choose a suitable service provider. Final objective of the thesis is to compare these two different methods of BI tools deployment, in that case on-premises and on-demand and to sketch out means, following them will be possible to decide for one of the methods.

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".

To enhance the progress of control of switching converters, IP blocks should be identified and be made available. These power technologies can be readily implemented and the pace of progress be enhanced. This article discusses the implementation of bi-lateral switches. From the example presented, it will be clear that control of the switches is a combination of fixed commutation techniques and variable intelligent control.

Thesis (M.A.)--University of Hong Kong, 1987. / Text in Chinese ; abstracts in English. Also available in print.

Business Activity Monitoring (BAM) is an acronym of Gartner Inc. to describe systems that are intended to provide "Real-time access to critical business performance indicators to improve the speed and efficiency of business operations. BAM systems help enterprises improve their operational efficiency and increase the ability of understanding and responding to events that have a significant impact on their business processes. Despite the fact that most businesses today are in urgent need to improve their operating performance, BAM systems as a solution seams to don't approach. The reality is that many software vendors supplied new BAM systems solutions by simply adding new features to existing products. In addition, there are no formal standards to define which specific features of the BAM system should contain. Another problem is the lack of theoretical models to support comparative analysis between the different systems of BAM. The aim of my thesis is to contribute to the improvement of the existing theoretical basis for the use of Business Activities Monitoring (BAM) as part of BI solutions, by providing an understanding of the relationship between the needs of decision support systems in real time and current applications of systems BAM. This work provides evidence that the relationship between the Real-time Business Intelligence needs of enterprises and BAM solution is determined by the need to ensure that the BAM system deliver current Real-time information to enable BAM users, who are often operating managers directly responsible for business processes, effectively respond to referred alert, supplied by the BAM system. To increase users' ability to effectively respond to events generated by the BAM system depends primarily on two basic operational issues. First, it is necessary to ensure adequate response for BAM users, to ensure necessary actions associated with the event. Second, BAM user must be able to understand the nature of the problem associated with the event, to initiate the proper steps to resolve the problem. Here it shows that, apart from insufficient knowledge of the nature of problems, BAM system needs, beside generation alerts in very low latency, also add context to these alerts, to provide enough information for BAM users to understand the nature of the problem associated with the event.

The theme of this dissertation thesis is the maintenance support Business Inteligence solutions. It is written in cooperation with the firm Clever Decision. The dissertation consists of two parts. The first part deals with the solution of the SLA contract, actually designing the SLA (Service Level Agreement) contract, wich the company used as an add-on support for the treaty. The second part is devoted to the helpdesk, the solution, process design and functionality of which is coming in when selecting an appropriate software solution. The aim of the work is properly designed SLA and help desk solution, including the selected software solution. At the beginning of this work is explain the concept of Service Level Agreement from several possible perspectives: general SLA, SLA for data and legal aspects of the SLA. The study also proposed a general SLA contract for small business. In the second part is processing the proposals and a description of the service desk processes. The proposal is primarily aimed at the implementation, measurement and reporting, SLA performace is not included there. Processes are designed in accordance with the requirements of the company. The following section the work deals with design and describing the helpdesk functionality. Finally, it is selected by the required functionality appropriate software solution.

The theme of this thesis is one of ways, which develops area of Business Intelligence in the last few years. This way are BI systems design on the principle of Cloud computing, also called BI SaaS. This is a cost available solution also suitable for small companies. This work is aimed to acquaint the reader with basic theoretical knowledge in the areas of Cloud computing, Business Intelligence and their connections. Wants to show risks of this technologies and compare between on-premise and cloud BI. In the next step want to offer a practical comparison of selected BI SaaS systems. Finally it aims to create forecast of possible future paths of development in Business Intelligence.

Due to the rapid growth of new technologies, the Business Intelligence (BI) market is growing as well that forces the corporations to adopt their offerings to the needs of the customer. Adoption of Business Intelligence system has become one of the most important technological and organizational innovations in modern organization that promote knowledge diffusion, and cornerstone of business decision making processes. Since the way of BI integrated and implemented is quite different among organizations, it is important to approach BI literature by adaption of BI application and its implementation, BI architects, and enabling factors in BI projects. Furthermore, we are also going to discuss how technological capabilities such as user access, data quality and the integration of BI with other systems in the firm, as well as organizational capabilities such as flexibility and risk management support, are essential for BI success, regardless of the decision environment. Last but not least, this paper will also discuss how the idea of BI has been built on the school of thought. We expect that results could create the value and input for enterprises that plan to implement a BI application in their organization.

Cílem této práce je analyzovat nasazení Business Intelligence (BI) v malých a středních podnicích (SME), určit specifika, která jsou spojena s implementací v takovéto společnosti a na základě praktického průzkumu zhodnotit, které důležité faktory ovlivňují nasazení BI systémů v těchto společnostech. Pro dosažení cíle bylo provedeno dotazníkové šetření, kterému předcházelo shromažďování a studium materiálů z různých zdrojů. Výsledky byly následně ověřeny na praktickém projektu implementace ve spolupráci s firmou typu SME.