Business intelligence (BI) has emerged as a key technology to be hosted on Cloud computing. BI offers a method to analyse data thereby enabling informed decision making to improve business performance and profitability. However, within the shared domains of Cloud computing, BI is exposed to increased security and privacy threats because an unauthorised user may be able to gain access to highly sensitive, consolidated business information. The business process contains collaborating services and users from multiple Cloud systems in different security realms which need to be engaged dynamically at runtime. If the heterogamous Cloud systems located in different security realms do not have direct authentication relationships then it is technically difficult to enable a secure collaboration. In order to address these security challenges, a new authentication framework is required to establish certain trust relationships among these BI service instances and users by distributing a common session secret to all participants of a session. The author addresses this challenge by designing and implementing a multiparty authentication framework for dynamic secure interactions when members of different security realms want to access services. The framework takes advantage of the trust relationship between session members in different security realms to enable a user to obtain security credentials to access Cloud resources in a remote realm. This mechanism can help Cloud session users authenticate their session membership to improve the authentication processes within multi-party sessions. The correctness of the proposed framework has been verified by using BAN Logics. The performance and the overhead have been evaluated via simulation in a dynamic environment. A prototype authentication system has been designed, implemented and tested based on the proposed framework. The research concludes that the proposed framework and its supporting protocols are an effective functional basis for practical implementation testing, as it achieves good scalability and imposes only minimal performance overhead which is comparable with other state-of-art methods.

Made available in DSpace on 2014-06-12T17:40:05Z (GMT). No. of bitstreams: 2 arquivo603_1.pdf: 1853201 bytes, checksum: c934acb92e442b66f3f5b55eba02112a (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2010 / Nesta dissertação foi avaliada a sistemática de escolha de ferramentas de Business Intelligence em Operadoras de Planos de Saúde na região Nordeste do Brasil. Após a avaliação da sistemática de escolha atual dessas Operadoras, foi sugerida uma nova sistemática para nortear os decisores em decisões desta natureza. A avaliação do cenário atual foi feita através de entrevistas. A sistemática proposta contou com uma pré-seleção dos fornecedores e aplicação do método SMARTS para seleção da ferramenta de BI. Uma das Operadoras foi escolhida para a aplicação da sistemática proposta e os resultados obtidos comprovaram que a utilização de uma sistemática e um método multicritério contribui para uma melhor tomada de decisão

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.

Hlavním cílem diplomové práce (DP) je provedení analýzy prostředí a jednotlivých nástrojů na podporu Business Intelligence (BI) na platformě Oracle. Analýza zahrnuje komplexní proces BI řešení od instalace potřebných programových prostředků (databáze, BI balíky, dokumentace atd.) až po zprovoznění praktické demonstrační aplikace a zhodnocení celé platformy. Práce se skládá ze čtyřech hlavních částí. V první části uvádím čtenáře do problematiky BI. V druhé části analyzuji globální charakteristiky prostředí Oracle BI a porovnávám je s SQL Serverem. Třetí část obsahuje analýzu a komparaci systému Oracle BI se systémem SQL Server ve třech oblastech (oblasti zahrnují: extrakci ? transformaci ? natažení dat, analytické zpracování dat a reporting) včetně vyhodnocení uvedených oblastí podle několika kritérií. V jednotlivých oblastech zjišťuji zejména dílčí architektury, používané nástroje a jejich funkcionalitu. Poslední část doplňuje stručnou analýzu světového trhu OLAP technologií.

Tato práce se zabývá provázáním modelu business intelligence a metodik vývoje informačních systémů. Specifikuje způsob propojení meta-modelu CWM (Common Warehouse Meamodel) s meta-modely business procesů ? BPMN (Business Process Modeling Notation), EPC (Event-driven Process Chain), MMABP (Methodology for Modeling and Analysis of Business Process) a Meta-modelem standardů modelovacích jazyků. Propojení je realizováno jako rozšíření meta-modelů odkazovaných standardů o abstraktní třídy, které umožňují začlenit třídy z CWM do každého ze čtyř typů procesních modelů. Prezentované provázání je chápáno jako rozšířené Metodiky vývoje informačních systémů se Sybase Powerdesignerem, ale díky navázání na více typů procesních standardů může být použito i společně s jinými metodikami vývoje informačních systémů, které používají modelování business procesů.

Goal of diploma thesis is to develop set of metrics for Internet Mall, a.s. company, carrying business in online shopping. Secondary goal is practical demonstration of Business Intelligence (BI) analysis on selected metrics. Balanced scorecard (BSC), strategic planning and management system, was selected as a framework for model of metrics. Basic concept of BSC was upgraded by an e-commerce extension. These extensions appear to be mostly inspiration. Main sources of information were consultations with company`s representatives. Developing process for model of metric consist of several steps: 1. Definition of mission, vision and strategy 2. Creating strategic objectives for each BSC perspective 3. Defining connections among objectives in explicit cause-and-effect relationship 4. Assigning each objective one or more indicators 5. Accomplished Model of metrics 6. Practical demonstration of BI analysis on selected metrics Goal of practice part was fulfilled by simple implementation of BI analysis, using three selected metrics. The aim was on introducing analytics reports for management and explaining their features and benefits. Contribution of whole effort is in increasing of quality of decision making process (carrying by head executives) supported by analytics reports.

The main theme of the thesis is standardization of BusinessObjects reporting in a corporation. This work is linked in with my bachelor work, which deals with the transformation of manual reporting from MS Excel to Business Intelligence platform in the form of interactive reports. Standardization of reporting and integration of Business Intelligence system in the infrastructure of the company represents further development in the evolution of the reporting in the organization. This work proposes a method for the implementation of BusinessObjects at the Operations department in the GE Money Bank. This work creates a draft of direction for the owner of BusinessObjects and a set of the most valuable experience I gained in this project. This work deals with the standardization of reporting, that should not be underestimated in any case, even though it happens many times. Multiple data sources often exist in huge organizations, data in production databases are not consistent and the company often uses several suppliers of Business Intelligence solutions. Non-standard reporting means risking in the form of inconsistent and chaotic data sets. This thesis can be used as a practical guide to avoid these mistakes and achieve more efficient and faster reporting. The conclusion of the thesis is that the standardization process of reporting is necessary logical step that organizations have to do if they want to set a unified form of reporting throughout the whole company and to increase consistency and clarity of data in reports.

There are series of competition battles emerging in present day while companies are recovering from last economic crisis. These battles are for customers. Take financial market for example -- it's quite saturated. Most of people do have some financial product since their birth date. Each one of us has insurance and most of us have at least standard banking account. It is imperative that insurance companies, banks and such firms have needed information about ourselves, for us to be allowed the use of these products. As the time passes we change the settings of these products, we change products themselves, buy new ones, set their portfolios, go to competition, even employees and financial advisors who take care of us do change over time. All of the above means new data (or a change, to say at least). Our every action specified leaves a digital footprint in the information systems of financial services providers who then try to process these data and use them to raise the profit using various methods. From the individual company's point of view is customer (in this case a person who has at least one product historically) unfortunately tracked multiple times due to the above changes, so this person actually seems like multiple persons instead of one. There are many reasons behind this and they are well known in common practice (Many of them are named in theoretical part). One of the main reasons for this is a fact that data quality was not a priority in past. However, this is not the case of present day and one of the success factors when it comes to spoiling client base portfolio is the level of quality of information that are tracked by companies. Several methodologies for data quality governance are being created and defined nowadays, although there is still lack of knowledge of their implementation (not just in the local Czech market). These experiences are well prized but most of internal IT departments are facing lack of knowledge and capacity dispositions. This is where great opportunity emerges for companies that use accumulated know-how from various projects that are not quite frequent in individual firms. One of such company is KPMG, Czech republic, LLC., thanks to which this work was created. So, what is the purpose and field of knowledge that is covered on the pages following? The purpose is to describe one such project concerning analysis and implementation of chosen tools and methodologies of data quality in real company. Main output is represented by a supporting framework as well as a tool that will help managers cease administration and difficulties when managing projects that concern data quality.

A base de dados do Programa de Melhoramento Genético da Raça Nelore está crescendo consideravelmente, com isso, a criação de um ambiente que dê apoio à análise dos dados do Programa é de fundamental importância. As tecnologias que são utilizadas para a criação de um ambiente analítico são os processos de Data Warehousing e de Data Mining. Neste trabalho, foram construídos um Data Warehouse e consultas OLAP para fornecer visões multidimensionais dos dados. Além das análises realizadas com as consultas, também foi utilizada uma ferramenta de Data Mining Visual. O ambiente analítico desenvolvido proporciona aos pesquisadores e criadores do Programa um maior poder de análise de seus dados. Todo o processo de desenvolvimento desse ambiente é aqui apresentado. / The Program of Genetic Improvement of Nelore Breed database have been growing considerably. Therefore, the creation of an environment to support the data analysis of Program is very important. The technologies that are used for the creation of an analytical environment are the Data Warehousing and the Data Mining processes. In this work, a Data Warehouse and OLAP consultations had been constructed to supply multidimensional views of the data. Beyond the analyses carried through with the consultations, a tool of Visual Data Mining also was used. The developed analytical environment provides to the researchers and cattlemen of the Program a greater power of data analysis. The whole process of development of this environment is presented here.

Magister Commercii (Information Management) - MCom(IM) / Companies are putting in place systems that might assist in attaining their business goals and vision to improve the running of their business processes. Companies are looking at Business Intelligence (BI) as a means to attain a competitive edge over competitors, predict future trends, improve strategic decision making, facilitate quick and reliable decision making, or make the day-to-day running of business easier. The study looks at the perspective of middle to top management on the context of BI, with main focus on the technical capabilities of BI within medium to large companies in South Africa. To obtain factors relevant to the South African business context, an online survey was conducted with various sectors of South African industry. The study is part of research conducted collaboratively by the University of the Western Cape and Neu-Ulm University of Applied Sciences in Germany. It focuses on exploring usage of Business Intelligence Systems (BIS) together with Corporate Performance. Online surveys were conducted that targeted medium to large companies in Germany and South Africa by questioning middle to top management on issues surrounding BIS and Corporate Performance. On this basis online survey approach was taken to ensure required number of participants would be covered and approached. Therefore, the research adopted stratified sample method for the online survey. Stratified sampling enabled the expansion of the research by gathering and collaborating participants responses on the research question and eliminate the possibilities of unreliable sample from large population.