Det behövs mer databaserade beslut av företag för att konkurrera på marknaden, vilket har bidragit till att business intelligence har gått från att användas på strategisk nivå till att även användas på en mer operativ nivå. Detta har medfört att behovet av analys och beslutsunderlag har vuxit hos ett större antal anställda som har resulterat i att IT-avdelningen i verksamheter blir en flaskhals. I takt med att behovet av BI har vuxit har begreppet self-service kommit, som innebär att användare själva ska kunna ta fram sina beslutsunderlag. Att införa self-service BI innebär dock en del utmaningar, och många av verksamheterna som har infört det blev missnöjda med resultatet. Det största hindret har visat sig vara användarna och det oväntade faktum att det krävs mer utbildning än förväntat. Därför är syftet med den här studien att underlätta införande av SSBI genom att undersöka hur användarrelaterade utmaningar kan hanteras vid införande av SSBI. För att besvara frågeställningen har sex stycken intervjuer genomförts på ett anonymt företag med respondenter som på olika sätt har en koppling till införande av SSBI. Resultatet av studien är en modell över de användarrelaterade utmaningarna vid införande av SSBI och de i detta arbete identifierade rekommendationerna för hur de kan hanteras. Genom att använda sig av dessa utmaningar vid införande av SSBI kan verksamheter ge användarna goda förutsättningar, vilket ökar möjligheten att införa ett lyckat och hållbart SSBI.

The diploma thesis focuses on the present state of Application of Business Intelligence (BI) in Private and Public Sector in the Czech Republic. The first part of this thesis is theoretically oriented and describes the BI evolution, finds its present definition and specifies the relationship to the related fields a branches. There are identified the BI users and there is also described the position of BI in IS/ICT in the organization. After that follows the description of the principles of BI, it means that the components are taken to pieces. The final part shows the possible comprehensive BI solution. The second part is practice-oriented and explores the present state of application of BI in private and public sector and describes the expected BI evolution until 2020. The thesis deals with the potential application of BI and possibilities how to obtain the subsidies from the EU for its implementation in each sector. After that there are described the barriers to implementation of BI and shown some specific examples of significant software solutions in these sectors. Then there are summarized the main differences in application of BI in each sector. The final part focuses on the on-line application research and its evaluation. The diploma thesis shows, why the BI is one of the most perspective business informatics areas. The thesis is also high-quality typographically elaborated.

L’objectif de cette thèse est d’améliorer les tableaux de bord (dashboard) de visualisation afin d’aider à la prise de décision et d’analyse BI, et les rendre accessibles à un public plus large. Nous identifions les tendances actuelles et pratiques d’utilisation des dashboards de visualisation dans le domaine BI, et après une approche de conception centreé, nous proposons des améliorations et des solutions. Plus précisément, nous relevons les défis suivants: faire la construction du dashboard et d’utiliser accessible aux novices de visualisation, l’amélioration des dashboards avec des capacités d’annotation pour aider les analystes BI dans le processus d’analyse, et ajouter des fonctionnalités du storytelling pour aider à la communication entre les analystes et les décideurs. Notre approche centrée-utilisateur consiste à recueillir les besoins des utilisateurs (grâce à la recherche de fond, des entrevues en profondeur ou des séances de prototypage avec des experts BI), le développement itératif des prototypes, et l’évaluation des prototypes issus avec des utilisateurs représentatifs. Dans la première étape, notre travail rapporte idées recueillies au sujet des pratiques des utilisateurs novices sur Exploation Views (EV), un système qui permet aux utilisateurs novices de visualisation à créer facilement des dashboards et les personnaliser, mais fournit également des fonctionnalités nécessaires aux les experts. Nous avons évalué EV à la fois d’experts et des utilisateurs novices de visualisation, et constaté des différences dans la façon dont les experts et les utilisateurs novices interagissent avec l’interface. En se basant sur ces observations nous proposons de nouvelles lignes directrices, qui augmentent les travaux antérieurs, sur la conception pour les novices, dans le contexte des systèmes de visualisation interactifs sous forme de dashboard. Les analystes BI utilisant des dashboards (experts ou novices) ont besoin d’aide dans la tenue des dossiers de leur analyse, de leurs découvertes et des idées recueillies des données. Ce soutien fait défaut dans la plupart des systèmes de visualisation de dashboard. Nous avons effectué des entretiens approfondis avec des experts en analyse BI, qui ont révélé de nouveaux besoins d’annotation pour les systèmes de visualisation multi-graphiques (tels que des dashboard), sur lesquels nous avons basé la conception d’un prototype de tableau de bord qui gère les données et les annotations contextuels, qui peuvent être partagées à travers visualisations et des ensembles duel données. Nous nous sommes concentrés en particulier sur les aspects d’annotation innovantes, tels que les annotations multi-cibles, la transparence des annotations à travers des graphiques, ainsi que les annotations qui peuvent être partagées entre les différentes sources de données et des applications de BI. Nous avons identifié et fourni des solutions aux problèmes en utilisant les annotations contextuels, notamment les questions qui se posent lorsque le contexte de l’annotation change (par exemple les données annotées sont supprimés ou modifiés). Notre prototype a été évaluée avec des experts, utilisateurs BI, qui ont réussi d’effectuer facilement plusieurs tâches qu’ils estiment importants dans leur travail. / The goal of this thesis is to improve visualization dashboards in order to help decision making and Business Intelligence (BI) analysis, and make them accessible to a larger user audience. We identify current trends and use practices of visualization dashboards in the BI domain, and following a user-cantered design approach we provide enhancements and solutions. More specifically we address the following challenges: making dashboard construction and use accessible to visualization novices, enhancing dashboards with advanced annotation capabilities to help BI analysts in the analysis process, and add storytelling functionality to dashboards to help the communication between analysts and decision makers. Our user-centered approach consists of gathering user requirements (through background search, in-depth interviews or prototyping sessions with BI experts), iterative prototype development, and evaluation of our prototypes with representative users. First, our work reports gathered insights regarding novice user practices on Exploration Views (EV), a system that allows novice visualization users to easily build and customize BI information dashboards, but also provides functionality needed by experts. We evaluated EV with both expert and novice visualization users, and found differences in how experts and novice users interact with the interface. Based on those observations we provide new guidelines that augment previous work on designing for visualization novices, in the context of interactive visualization systems in the form of dashboards. BI analysts using dashboards (experts or novices) need support in record-keeping of their analysis, their data discoveries and gathered insights. This support is lacking in most dashboard visualization systems. We conducted in-depth interviews with BI experts that led to new annotation needs for multi-chart visualization systems (such as dashboards), on which we based the design of a dashboard prototype that supports data and context aware annotations, shared across visualizations and datasets. We focused particularly on novel annotation aspects, such as multi-target annotations, annotation transparency across charts, and annotations that can be shared among different data-sources and BI applications. We identified and provided solutions to challenges in using context aware annotations, notably issues arising when the annotation’s ”context” changes (e.g. annotated data are deleted or changed). Our prototype was evaluated with BI experts that were able to easily perform several tasks that they deemed important in their work. To increase the value of an analysis, recorded insights and knowledge need to be organized and communicated to others, and made available for future analysts to learn from. This communication step is very important, as often the analyst of data and the decision maker are two different people. To achieve this we need an easy insight organization and sharing mechanism to facilitate the transfer of knowledge, experiences, and stories, to decision makers and other analysts. We interviewed BI analysis experts and collected new requirements related to BI visual storytelling. Based on these requirements we designed and implemented a storytelling prototype that is integrated in a dashboard analysis tool, and allows easy transition from analysis to story creation and sharing. Our system was identified by experts as having great potential for training other analysts. Moreover, it can help BI analysis authors organize and communicate their findings faster to decision makers, and they can reach a broader audience since the results of a data analysis presented in the storytelling tool can be read with little to no training.

Orientador: Leonardo de Souza Mendes / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação / Made available in DSpace on 2018-08-18T01:51:30Z (GMT). No. of bitstreams: 1 Marques_EduardoZanoni_M.pdf: 1428094 bytes, checksum: ab4b7bc4527f7bb075ba68a6c6b3c948 (MD5) Previous issue date: 2011 / Resumo: A análise e interpretação dos dados gerados pelos sistemas de informação é uma realidade para as organizações públicas e privadas. Para atender a esta necessidade, surgiram os Sistemas de Suporte à Decisão. Dentre estes, os sistemas de Business Intelligence foram e estão sendo adotados pelo setor privado. No entanto, poucos trabalhos discutem a adoção destes sistemas para o setor público. Este trabalho discute as formas como os sistemas de Business Intelligence podem ser aplicados para auxiliar a administração pública, considerando as particularidades existentes neste setor. Ainda, este trabalho apresenta uma proposta pra construção de um ambiente de Business Intelligence utilizando ferramentas e tecnologias de código aberto. Este ambiente foi aplicado em um cenário real, onde é feita análise dos dados sociais da cidade de Campinas, SP / Abstract: The analysis and interpretation of data generated by information systems is a reality for both public and private organizations. As a solution to this problem, the Decision Support Systems were created. Among those, Business Intelligence systems were and are being adopted in the private organizations. Even though, just a few papers discuss the adoption of these systems in public organizations. This dissertation discusses how Business Intelligence systems can be applied to support public administration, considering the public organizations particularities. Still, it presents a proposal to create a Business Intelligence environment using open source tools and technologies. This environment was applied in a real scenario, where the social data from the city of Campinas, SP, was analyzed / Mestrado / Telecomunicações e Telemática / Mestre em Engenharia Elétrica

Behovet av beslutsstödsystem ökar ständigt bland företagen världen över. För att ett beslutsstödsystem skall vara användbart och generera en nytta till ett företag, så finns det krav på att den information som visualiseras skall uppnå en viss datakvalitet. Således är syftet med detta arbete att undersöka vilka problem som uppstår vid utveckling av dashboards i strävan efter att uppnå en hög datakvalitet. I strävan efter att identifiera vilka problem och svårigheter som uppstår vid utveckling av dashboards för beslutsstöd så utfördes intervjuer med sex olika utvecklare av dashboards från olika företag i Sverige. Fokus under dessa intervjuer fanns på åtta olika aspekter som tillsammans genererar god datakvalitet. Denna studie har visat att samtliga utvecklare var överens om att datakvalitet är en mycket viktig aspekt när det kommer till dashboards och beslutsstödsystem och det framkom en variation av problem som kan uppstå i strävan efter att uppnå detta. Den här studien ger en god insyn i de problem som existerar inom detta område idag. / The need for decision support systems is constantly increasing among companies worldwide as well as the need for it to be useful and generate a benefit to a company. There is also a requirement that the information being visualized reaches a certain data quality. Thus, the aim of this research is to investigate the issues that arise during the development of dashboards sincerely with the interest of achieving high data quality. Since the aim of this study is to identify the issues and difficulties that arise during the development of dashboards for decision support, six interviews were conducted with different dashboard developers from various Swedish companies. During the interviews the focus was being put on eight different aspects that together generate good data quality The most relevant discovery made during this study was that the developers agreed on the fact that data quality is a highly relevant aspect when it comes to dashboards and decision support systems. Furthermore, there also emerged a variety of problems that arise with the interest of achieving high data quality. This study gives an insight to the issues that exist in the field today.

The thesis focuses on application of business intelligence in online retail. The work summarizes the benefits of BI usage in online retail and provides an overview of the areas, where BI and Analytics is commonly used. Further, the thesis includes theoretical research with primary focus on business performance evaluation metrics and describes BI market leaders. The performance metrics theoretical research is supported by a survey in a global online fashion retail company that author conducted and summarized. Moreover, a practical design and implementation of a specific real-life BI solution is proposed and presented. The thesis added value is mainly author s proposal of BI solution design and its implementation for a global online retail company, which was successfully deployed as a main BI reporting system of the company. The description includes data integration part, data modelling part and the presentation layer. Thesis includes also practical examples of the outputs based on the final solution. Besides, highly valuable is also author s theoretical research in the field.

The main goal of this diploma thesis, which focuses on analysis and implementation of dashboards, is to build a task describing the process of creating a business dashboard. Partial goals of work are identification of benefits after successful dashboard implementation, identification of typical dashboard user and a discovery of possible creation inefficiency causes while creating dashboards. Next fundamental goal is also to extend the referential model of Management of Business Informatics (MBI), to which also responds the structure of this diploma thesis. Defined goals of this thesis are reached by using the combination of a theoretical principles orient to mostly abroad specialist literature and practical experiences. This thesis is structured to three parts. The first is defined the term dashboard, and also his historical connections, positive effects resulting his success implementation and a fully relation to the management of business efficiency. The second part deals with three categories of dashboards structured by their utilizing. There is a description of summary definition, effect and advantages resulting successful implementation and possible problems related with their realisation, by every category. The third part contained the task Creating of a dashboard. This task is created a set of relatively linked steps, which is necessary to follow for successful creating of a dashboard. Each of these steps contains a practical example for increasing of its objectivity. As a component of this part is used an application of MS PowerPivot.

This thesis addresses current topic of self-service business intelligence solutions. The main goal is to create a dimensional model and pilot applications for retail used for Management of Business Informatics (MBI). In order to achieve it is main goal there are four steps, to be taken. During fulfilling of these steps minor and practical goals are achieved as well. Minor goal focuses on comparison of the advantages and disadvantages of current business intel-ligence approaches. Practical goal is to create reports and dashboards for Management of Business Informatics (MBI). The first step is to introduce the issue of classic and self-service BI concluded by comparison of both variants. The second step is the definition of retail and identification of potential indicators. The third step is the introduction of Mi-crosoft´s self-service BI technologies and tools. The fourth step is to create applications for retail in MBI using tools PowerPivot and Power View. The main contribution of this work is to create reports and dashboards that are able to support processes of general retail mod-el. Reports and dashboards will serve as pilot applications for MBI. Another contribution is to acquaint readers with the possibilities of tools PowerPivot and Power View.

This thesis deals with the analysis and design of business intelligence solution for the needs of reporting for Microsoft Dynamics AX 2012 platform. Solution includes development guidelines for possible development in future. In the first part of the thesis there is introduced ERP system MS Dynamics AX 2012 which serves as a data source for reports. The following sections analyze the data sources and the need for enterprise reporting. Significant part of thesis is the analysis and design of individual basic dimensions and indicators together with the proposal of data flows and architecture solution. In chapters 6-9 are described best practices for creating data warehouse through all the layers of development. In chapter 10 are unified guidelines for the development of different parts of solution such as dimensional OLAP cubes for case of additional customer requirements.

Business Intelligence (BI) has now become a core part to many businesses due to the benefits it brings -- the ability to access data in a common format from multiple sources and making decisions that help organization to move closer to its goals. Many workers today spend most of their time away from their office and can't easily access corporate data. The use of the Internet on mobile devices has changed the way people consume information. Embracing mobile computing means having the ability to access information anywhere, anytime and as a result consumers can make decisions faster. Thesis is focused on mobile Business Intelligence and the aim is to provide o comprehensive overview of this area, examine market trends, define critical success factors for implementation projects, and introduce mobile BI platform QlikView. Furthermore it explains the differences between traditional and mobile BI, explores benefits and drawbacks of these tools and the challenges that must be addressed. The reader will learn what types of employees and tasks are suited for mobile BI programs and outlined critical success factors might be valuable information for any company planning implementation of mobile BI tools.