The Swedish   healthcare system today has longer queues than before, low treatment rates   and lack of accessibility, treatment and service. Business Intelligence   System (BIS) purpose is to support organizations and businesses in different   types of decision-making that in turn can make the operations more efficient.   The purpose of this thesis is to develop and test a model that describes the   effects that BIS have on the healthcare system according to previous research   on Swedish healthcare staff and their experiences of these systems. The study   has been carried out through qualitative interviews with respondents who work   with BIS in the Swedish healthcare system. A model developed from previous   research has according to the purpose of this study been developed and tested   against the collected empirical data to see if the effects that the previous   research has identified are in line with what Swedish healthcare staff has identified.   The entire model which consists of BIS basic functionality and BIS effects on   healthcare has been tested against another respondent who did not participate   on any interview but instead performed a thorough analysis of the whole   model. What were tested by this respondent were the model’s flow, structure   and constituents. The result of this study came to the conclusion that the   basic functionality of the model developed and the identified effects are in   accordance with the effects identified by the Swedish healthcare staff they   receive from the BIS within their work. / Sammanfattning: Den svenska sjukvården har idag längre köer än   tidigare, låg behandlingstakt och brister i tillgänglighet, bemötande och   service. Business Intelligence System (BIS) har som syfte att stödja   organisationer och verksamheter vid olika typer av beslutstaganden som i sin   tur kan effektivisera verksamheten. Syftet med detta examensarbete är att   utveckla och testa en modell som beskriver de effekter som BIS har på   sjukvården enligt tidigare forskning mot svensk sjukvårdspersonal och deras   upplevelser utav dessa system. Studien har utförts genom kvalitativa   intervjuer med respondenter som arbetar med BIS inom den svenska sjukvården.   En modell som bygger på tidigare forskning har enligt syftet i denna studie   utvecklats och testats mot den insamlade empirin för att se om de effekter   som den tidigare forskningen har identifierat stämmer överens med vad svensk   sjukvårdspersonal har identifierat. Hela modellen som består av BIS   grundläggande funktionalitet samt BIS effekter på sjukvården har sedan   testats mot ytterligare en respondent som inte deltog i någon intervju utan   endast analyserat modellens helhet. Det som testades av denna respondent var   modellens flöde, struktur och beståndsdelar. Resultatet av denna studie kom   fram till att den framtagna modellens grundläggande funktionalitet samt de   effekter som återfinns i modellen stämmer överens med de effekter som den   svenska sjukvårdspersonalen har identifierat att de får ut av BIS inom sitt   arbete.,

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.

Pirmoje darbo dalyje yra nagrinėjamos organizacijų ekonominės problemos ir ieškoma kaip tos problemos gali būti pašalintos. Išanalizavus kokios gali būti problemos pradėta analizuoti intelektualios verslo sistemos, kaip vienas geriausių sprendimo būdų. Darbe taip pat nagrinėjama intelektualių sistemų apibrėţimas, paaiškinama architektūra ir išskiriama kuo BIS skiriasi nuo kitų informacinių valdymo sistemų. Antroje dalyje yra nagrinėjamos pagrindinės problemos susijusios su intelektualiomis verslo sistemomis ir jų diegimu organizacijose. Analizuojama šiuo metu labiausiai paplitusios technologijos OLAP ir QlikView, kurios naudoja atmintį duomenų krovimui. Analizuojami jų privalumai ir trūkumai taip pat skirtumai. Trečioje dalyje analizuojama intelektualių verslo sistemų projektavimo metodika. Keliami klausimai ką reikia daryti, kad gautume sistemą atitinkančią organizacijos lūkesčius. Analizuojama projektavimo struktūra naudojant UML diagramas, taip pat elementų svarba pačioje sistemoje. Ketvirtoje dalyje yra projektuojami intelektualių verslo sistemų modeliai, kurie yra tik pavyzdiniai, kurie parodo kokie privalumai ir kaip veikia intelektualios verslo sistemos vykdant pirkimo funkcijas panaudojant marketinginius principus. / In the first part of master thesis analyzing the main problems, which are in organization management. The main purpose of this part is to find a solution how can resolve this problems. Business intelligence systems are the best solution. In this part analyzing business intelligence systems definition, architecture and also analyze what is different in business intelligence systems comparing with other informatics management systems. The second part of work analyzes business intelligence problems related with creation, developing and using BIS. Analyze the most popular tools like OALP and QlikView. Compare the OLAP and QlikView. Analyze QlikView like data loading from memory. Explain the advantages and disadvantages of QlikView and OLAP. The third part analyzes designing and planning of business intelligence systems. Analyze what is the main purpose to create good system which will be useful in organizations. In this part also analyze the UML modems for BIS. In the last part is presenting solutions for problems which was analyzed in the second part. The examples are created using UML diagrams.

Engineering asset management (EAM) organisations are increasingly motivated to implement business intelligence (BI) systems in response to dispersed information environments and regulatory requirements. However, the implementation of a BI system is a complex undertaking requiring considerable resources. To date, there has been only a limited authoritative set of critical success factors (CSFs) for management reference because the BI market is a relatively new area that has been driven mainly by IT industry and vendors. There is an imperative to explicitly focus on, and rigorously specify, the CSFs that impact on the implementation of BI systems. Consequently, this research seeks to bridge the gap that exists between academia and practitioners. It addresses the challenging problems in implementing BI systems by investigating the CSFs and their associated contextual issues with EAM organisations.

Business Intelligence Systems are becoming more and more popular in recent years. It is caused by the need of reusing data in order to gain some potentially useful business information about. Those systems are advanced set of tools, which causes high prices of purchase and licensing. Therefore, it is important to choose the system which fits the best particular business needs. The aim of this thesis is to elaborate a method for comparison of existing Business Intelligence Systems that are supporting data mining. The method consist of a quality model, build according to existing standards, and set of steps which should be taken to choose a Business Intelligence System according to particular requirements of its future user. The first part of the thesis focuses on the analysis of existing works providing a way for comparison of those software products. It is shown here that there is no existing systematic approach resolving this problem. However, criteria presented in those works along with the description of quality model standards were used for creating the quality model and proposing a set of basic measures. Also the phrases for the evaluation process were identified. The next part of the research is a case study which purpose is to show the usefulness of proposed evaluation method. The example is simple, but has proven that the method can be easily modified for specific needs and used for comparison of real Business Intelligence Systems. The quality level measured in the case study turned out to be very similar for each system. The evaluation method may be extended in future work with more advanced measures or additional characteristic which were not taken into account in this research.

Innovation and technology advancements in information systems (IS) result in multiple product offerings and business intelligence (BI) software tools in the market to implement business intelligence systems (BIS). As a result, a high proportion of organisations fail to employ appropriate and suitable software tools meeting organisational needs, resulting in a prime number of BI solution failures and abandoned projects are therefore recorded. Due to such project failures, benefits associated with BI are not realised hence organisations loose enormous investments on BI solutions and competitive advantage. The study aims at discovering and exploring critical factors influencing the selection of BI tools when embarking on the selection process. This is a quantitative research study and questionnaire surveyed data was collected from 92 participants working in South African financial services providers listed on the Johannesburg Stock Exchange (JSE) appearing in the top 100 based on market capitalization. The data was analysed quantitative by employing the use of SPSS and SmartPLS-3 software's to test the significance of influential factors using the proposed conceptual model that emerged from the literature. The findings showed that a combination of domain technical and non-technical factors is critical. Therefore, software tool technical factors (functionality, ease of use, compatibility, availability of an integrated hardware/software package, and availability of source code), vendor technical factors (availability of technical support, technical skills, quality of product, availability of user manual for important information, tutorial for learning and troubleshooting guide, and experience in using product developed by the same vendor), and opinion non-technical factors (end-users, subordinates, outside personnel acquaintances, and improvement in customer service) emerged as significant combination of influential factors to be considered. The study contributes to both academia and industry by providing influential determinants for software tool selection. It is hoped that the findings presented will contribute to a greater understanding of factors influencing the selection of BI tools to researchers and practitioners alike. Furthermore, organisations seeking to select and deliver appropriate BI tools will be better equipped to drive such endeavours.

Research Question: Which are the decisive factors that impact the adoption of business intelligence systems (BIS) among IT SMEs in Sweden? Purpose: This paper aims to examine Swedish SMEs and understand which decisive factors have an impact on the decision makers and their adoption of BIS. This study aims to study SMEs that have already adopted BIS. Method: A deductive qualitative approach was used to answer the study’s research question. The primary data was conducted through seven semi-structured interviews with Swedish IT SMEs. Empirical Findings: The empirical findings highlight that some factors had a greater influence on the adoption of BIS than others. These were possession of the right type of data, support of top management and service provider support. Conclusion: The presented study identified that small and medium sized enterprises are prone to BIS adoption when considering three decisive factors. First, the importance of possessing data and having the right type of data was a critical need and a factor for BIS adoption. Second, the use of service provider support for SMEs seemed to contribute with important value according to the findings. Third, working proactively with change management affected the perceived usefulness of technology and led to a higher chance of small and medium sized adopting BIS. / Frågeställning: Vilka är de avgörande faktorerna som påverkar antagande av business intelligence-system bland små och medelstora (SME) IT företag i Sverige? Syfte: Den här uppsatsen syftar på att undersöka svenska små och medelstora företag (SME) och förstå vilka faktorer som påverkar beslutsfattare och deras antagande av BIS. Uppsatsen syftar till att studera SME som redan har antagit BIS. Tillvägagångssätt: Denna studie använde en deduktiv kvalitativ metod för att besvara forskningsfrågan. Den primära datan samlades in genom sju semistrukturerade intervjuer med svenska SME inom IT-branschen. Bidrag: Resultaten visar att vissa faktorer hade ett större inflytande på antagande av BIS än andra. Dessa var innehav av rätt typ av data, stöd från högsta ledningen samt support från tjänsteleverantörer. Slutsats: Den presenterade studien identifierade att svenska SME är benägna att anta BIS när man överväger tre avgörande faktorer. För det första var vikten av att ha data och ha rätt typ av data ett kritiskt behov och en faktor för BIS antagande. För det andra verkade användningen av tjänsteleverantör stöd för små och medelstora företag bidra med ett viktigt värde enligt resultaten. För det tredje, att arbeta proaktivt med förändringsledning påverkade den upplevda användbarheten av teknik och ledde till en högre chans för SME att antagande BIS.

Business Intelligence (BI) applications are consulted by their users on a daily basis. BI information obtained assist users to make business decisions and allow for a deeper understanding of the business and its driving forces. In a mining environment companies need to derive maximum benefit from BI applications, therefore these applications need to be used optimally. Optimal use depends on various factors including the usability of the product. The documented lack of usability evaluation guidelines provides the rationale for this study. The purpose is to investigate the usability evaluation of BI applications in the context of a coal mining organization. The research is guided by the question: What guidelines should be used to evaluate the usability of BI applications. The research design included the identification of BI usability issues based on the observation of BI users at the coal mining organization. The usability criteria extracted from the usability issues were compared and then merged with general usability criteria from literature to form an initial set of BI usability evaluation criteria. These criteria were used as the basis for a heuristic evaluation of the BI application used at the coal mining organization. The same application was also evaluated using the Software Usability Measurement Inventory (SUMI) standardised questionnaire. The results from the two evaluations were triangulated to provide a refined set of criteria. The main contribution of the study is the heuristic evaluation guidelines for BI applications (based on these criteria). These guidelines are grouped in the following functional areas: visibility, flexibility, cognition, application behaviour, error control and help, affect and BI elements. / Information Science / M.Sc. (Information Systems)

Business Intelligence (BI) applications are consulted by their users on a daily basis. BI information obtained assist users to make business decisions and allow for a deeper understanding of the business and its driving forces. In a mining environment companies need to derive maximum benefit from BI applications, therefore these applications need to be used optimally. Optimal use depends on various factors including the usability of the product. The documented lack of usability evaluation guidelines provides the rationale for this study. The purpose is to investigate the usability evaluation of BI applications in the context of a coal mining organization. The research is guided by the question: What guidelines should be used to evaluate the usability of BI applications. The research design included the identification of BI usability issues based on the observation of BI users at the coal mining organization. The usability criteria extracted from the usability issues were compared and then merged with general usability criteria from literature to form an initial set of BI usability evaluation criteria. These criteria were used as the basis for a heuristic evaluation of the BI application used at the coal mining organization. The same application was also evaluated using the Software Usability Measurement Inventory (SUMI) standardised questionnaire. The results from the two evaluations were triangulated to provide a refined set of criteria. The main contribution of the study is the heuristic evaluation guidelines for BI applications (based on these criteria). These guidelines are grouped in the following functional areas: visibility, flexibility, cognition, application behaviour, error control and help, affect and BI elements. / Information Science / M.Sc. (Information Systems)