<p>Our aim with this thesis was to closer study business intelligence to be able to present an overview of both the concept and the phenomenon. We have also developed a framework that show how business intelligence can be used effectively. We think that our framework can be of help to under-stand the areas which constitutes the core of business intelligence. We think that the framework we have developed is a good basis for the im-plementation of business intelligence in an organisation and that it also can be of help in the daily business intelligence work.</p> / <p>Vårt mål med denna uppsats var att studera business intelligence närma-re för att kunna presentera en övergripande bild av både begreppet och fenomenet. Vi har även tagit fram ett framework för hur en effektiv an-vändning av business intelligence skulle kunna se ut. Vi tror att vårt fra-mework kan vara till hjälp för att förstå de områden som utgör kärnan i business intelligence. Vi tror att det framework vi tagit fram är en bra grund för införandet av business intelligence i en organisation och att det även kan vara till hjälp i det arbete som dagligen utförs gällande business intelligence.</p>

Direct marketing is becoming a key strategy for organisations to develop and maintain strong customer relationships. This method targets specific customers with personalised advertising and promotional campaigns in order to help organisations increase campaign responses and to get a higher return on their investments. There are, however, many issues related to direct marketing, ranging from the highly technical to the more organisational and managerial aspects. This research focuses on the organisational and managerial issues of the direct marketing process and investigates the stages, activities and technologies required to effectively execute direct marketing. The direct marketing process integrates a complex collection of marketing concepts and business analytics principles, which form an entirely ‘self-contained’ choice for organisations. This makes direct marketing a significantly difficult process to perform. As a result, many scholars have attempted to tackle the complexity of executing the direct marketing process. However, most of their research efforts did not consider an integrated information system platform capable of effectively supporting the direct marketing process. This research attempts to address the above issues by developing a conceptual framework for the Direct Marketing Process with Business Intelligence (DMP-BI). The conceptual framework is developed using the identified marketing concepts and business analytics principles for the direct marketing process. It also proposes Business Intelligence (BI) as an integrated information system platform to effectively execute the direct marketing process. In order to evaluate and illustrate the practicality and impact of the DMP-BI framework, this thesis adopts a case study approach. Three case studies have been carried out in different industries including retailing, telecommunication and higher education. The aim of the case studies is also to demonstrate the usage of the DMP-BI framework within an organisational context. Based on the case studies’ findings, this thesis compares the DMP-BI framework with existing rival methodologies. The comparisons provide clear indications of the DMP-BI framework’s benefits over existing rival methodologies.

The recorded music industry experienced declining revenue from 1998 to 2014, but it saw a return to growth in 2015. This thesis uses a sample of 17 countries to explore the determinants behind this revenue expansion, and to assess whether this sales growth can be sustained. I examine the impact of eight factors on the overall, physical, digital, and streaming music revenue and revenue per capita, as well as the digital and streaming revenue share. The eight independent variables include the GNI per capita, the total population, the percentage of the young people, the percentage of the young females, the gross enrollment rate in secondary education, the percentage of Internet users, the percentage of mobile cellular subscriptions, and the percentage of fixed broadband subscriptions. Based on my study, the fixed broadband subscription rate has an impact that is both statistically significant and economically important on the streaming revenue share, which makes it the most important indicator for the industry’s potential sustainable development. The percentage of the young population also shows statistical significance and economic importance for explaining the overall and physical revenue per capita, but it has no effect on the digital and streaming revenue share. Also, although the Internet penetration rate and the mobile cellular subscription rate are statistically insignificant for the digital or streaming revenue share, point estimates suggest that these factors have important economic impacts.

Even though the development of business intelligence is moving forward rapidly, a substantial number of organizations are yet to implement business intelligence. Therefore, this thesis aims at investigating what internal organizational obstacles that could be hindering the implementation of business intelligence and how these obstacles could be overcome. In order to answer this, the Technological Acceptance Model combined with the notion IT identity, is used as the theoretical framework. This thesis is of an interpretivist nature and data was collected through qualitative, semi-structured interviews with six experts within the field of business intelligence, consisting of consultants and business intelligence managers. The identified obstacles could be connected to employees’ perceived usefulness being too low in relation to the perceived non-pecuniary cost. The proposed solutions aims at raising the perceived usefulness and lower the non-pecuniary cost through different methods presented in this thesis.

Many organizations are digitizing their business systems, creating potential to furthermore develop their organizations to become even more efficient. Business Intelligence is a collective term for skills, techniques, applications and processes that can help organizations to better understand their business. One of many Business Intelligence tools is a digital dashboard. A dashboard can collect the hidden figures in the business system or present already knows Key Performance Indicator to an organization. This study is conducted to find out what positive changes a usage of a dashboard can give to an organization. Through interviews and literature studies we have compared and analysed the results. This study shows that if you succeed with an implementation of a dashboard you will find benefits like better awareness, better agency and you will find that the organization will become more results orientated than before. They are all positive effects that a usage of a dashboard can give.

Business Intelligence (BI) is a subject that has risen under the last two decades. BI is collection of tools used to interpret data and represent it in an understandable way. The problem that exist within education in BI is the knowledge gap that exist between the necessary knowledge in both analytic and technical fields. The purpose of this study is to propose and discuss the ways BI-knowledge can be transferred to people that work in the BI-field. The study is based on research, interviews and the training opportunities that our collaborative cooperation presented. Throughout this study we interviewed three people, were all of them worked in the BI-field. Beside the interviews we also attended trainings opportunities in BI which were based on theory and demonstration of a BI-system. After the training, we performed a configuration of the BI-system, with the purpose of evaluating the knowledge we got from the training and give feedback regarding the configuration. To help minimize the knowledge gap that exist in the analytic and technical fields, we propose that you construct the education with the individual background of the participant in mind and use different education methods to help stimulate the necessary cognitive modes for better knowledge receptivity. After this study, we can conclude that one of the most important factors to have in mind when choosing learning methods with the purpose of education in BI, is to choose a method that contributed to the reflective side of the participants and combine theory with practical exercises.

The Swedish consumers are concerned of their online privacy, while companies increasingly gather personal information with business intelligence (BI) technologies in order to customize online banner ads, among the favoured marketing techniques. Meanwhile, marketers treasure the opportunity to target individuals. The purpose of this research is to generate insights of Swedes’ experiences of intrusion of their privacy online, and their behavioural response to personalised banner advertisements. The research will also observe if there are differences depending on the consumers’ ages. Mediating factors will be regarded how they influence the online users perceived intrusiveness and usefulness of personalised ads. The study is exploratory and aims to provide extensive awareness and beliefs around a complex phenomena. It will have a qualitative approach where data collection is conducted through semi-structured, in-depth, interviews with Swedish consumers from two age groups, complemented by three expert interviews. The results show that, in comparison, elderly consumers have less knowledge of personalised advertising, as well as BI-technology, leading to higher privacy concern and perceived intrusiveness when exposed to these ads. Members of the generation Y comprehend the phenomena to a greater extent, and more easily see the usefulness presented, but are overall ambiguous. Attitudes are likely to be formed based on the experienced intrusiveness contra usefulness, but are not clearly influencing trust, loyalty of future purchasing behaviours. Generally, marketers and consumers’ views show incongruence, as marketers remain very positive to using personal information to customize ads, while consumers do not always perceive it similarly. A balance can be difficult to achieve, but a unanimous belief demand high accuracy of content and placement of the personalised ads to be perceived as useful.

We are entering an era of business intelligence and big data where simple tables and other traditional means of data display cannot deal with the vast amounts of data required to meet the decision-making needs of businesses and their clients. Graphical figures constructed with modern visualization software can convey more information than a table because there is a limit to the table size that is visually usable. Contemporary decision performance is influenced by the task domain, the user experience, and the visualizations themselves. Utilizing data visualization in task performance to aid in decision making is a complex process. We develop and test a decision-making framework to examine task performance in a visual and non-visual aided decision-making by using three experiments to test this framework. Studies 1 and 2 investigate DV formats and how complexity and design affects the proposed visual decision making framework. The studies also examine how DV formats affect task performance, as measured by accuracy and timeliness, and format preference. Additionally, these studies examine how DV formats influence the constructs in the proposed decision making framework which include information usefulness, decision confidence, cognitive load, visual aesthetics, information seeking intention, and emotion. Preliminary findings indicate that graphical DV allows individuals to respond faster and more accurately, resulting in improved task fit and performance. Anticipated implications of this research are as follows. Visualizations are independent of the size of the data set but can be increasingly complex as the data complexity increases. Furthermore, well designed visualizations let you see through the complexity and simultaneously mine the complexity with drill down technologies such as OLAP.

The subject of the diploma thesis entitled "Business Intelligence in Microsoft Dynamics AX" is to analyze the functionality of the ERP system Microsoft Dynamics AX 2009 in the area of Business Intelligence and Reporting with the reflection of the current market position of the company. The goal is to set the basic definition of the relationship between ERP and Business Intelligence systems, further defining the possibilities of MS Dynamics AX in BI in the terms of their practical use and also to describe the fundamental technological aspects. The aim of the work is evaluation and definition particular steps during implementation based on methodology MS Sure Step 2010 together with description of deployment process. As a reflection of insufficient coverage of some of the areas is mentioned solution of the company Circon Circle Consulting. Also is realized proposal for BI for AX cost accounting module, including designing data mart, ETL and report with respect to specifics, such as the parent-child hierarchies and many-to-many relationship between fact tables and dimensions. The contribution of this work is mainly evident for the consultants of the system, to who is provided insight into the important and for users attractive functionality and also is offered possible implementation process. Technically oriented readers may appreciate the solutions for Cost Accounting and potential approaches to the concept of data mart or other areas where they meet the above-mentioned aspects.

The main aim of this thesis is the proposal and implementation of the support of decision making with the help of Business Intelligence tools in Audit CI, company limited providing economic and financial consultancy. Business Intelligence tools are applied at the creation of reports which company provides for its clients in terms of its services. On the basis of these reports subsequently suggests recommendations in the field of finance and intradepartmental management. The whole thesis is divided into two parts. In the theoretical part are described fundamental principles of BI solution. Main components of which can be BI solution set up, its place in the architecture of the information system of company, finally fundamental base of the proposal of BI solution. The practical part includes the proposal and implementation of BI solution, from multidimensional analysis through the solution of the data pump, multidimensional cubes, to set up the output in the client application.