The aim of the thesis is to define the term Self-service Business Intelligence. It is followed by an introduction of need of this technology in present information society. Thesis at last defines technologies and practices, which are applicable in most general situations. All defined recommendations are based on vast range of theoretical data sources. Second aim is to prove that all customers' requirements can be in specified case covered by functionality of Self-service BI solution. This proof is presented by an introduction of architectural proposal using chosen technological platform. This proposal is furthermore part of bigger elaboration, which by its content loosely follows all tasks present in the initial Case study.

This thesis describes the design and implementation of the margins reporting in the travel agency. The main goal of the thesis is the design and implementation of a tool for margins monitoring of future package tours. The theoretical part provides an overview of resources devoted to Business Intelligence. The resources include various data sources which are specialized publications, scientific articles, theses and other electronic resources. Further, there are explained basic concepts related to Business Intelligence, benefits, principles and major components of Business Intelligence solution. At the end of the theoretical part is provided an overview of current Business Intelligence market trends and is introduced QlikView tool, which is used for creating reports in the practical part. The practical part is an analysis of the current situation of margins reporting in the travel agency. Problems are identified in this field. The company set requirements for implementation solution based on identified issues. Using knowledge gained in the theoretical part is designed a solution that meets the business requirements and this solution is implemented. The conclusion contains the verification of the solution implemented in practice and the evaluation of the fulfillment of the thesis objectives. The implementation of the margin reporting in the real company is considered as the main benefit of the thesis. The other benefit of the thesis is the description of the real case in which was used a tool based on in-memory analysis - one of the trends in Business Intelligence. Then there is the description of the case using Business Intelligence for a decision-making in one industry, travel agency.

Why do the healthcare facilities incur debt? What troubles the managers most? In what conditions do the healthcare professionals work? Is there space for improvement? Is it possible to deliver higher quality care? Nowadays, the healthcare providers are looking for solutions, which could help them satisfy more patients, reach lower costs and therefore increase own financial results and answer the abovementioned questions. Key element of such a solution is a business intelligence system, which supports decision-making and aligns enterprise objects with its progress and improves the overall performance. The thesis elaborates on the topic of business intelligence software QlikView in selected hospitals, which already implemented or are about to implement the business intelligence software. The intention was to find out ways in which the software is used in the hospitals, what key performance indicators the software usually measures and what could be the possible opportunities for its further use in the selected facilities. Research results indicate that the software significantly increased the work efficiency and that it contributes to more effective hospital management. However, such improvement in efficiency has also its drawbacks, namely it is the higher price per personal licence in comparison to the other business intelligence software on the market. Research also confirmed the fact that only usage of such software alone will not help to improve the overall bad state of Slovak healthcare system -- systematic measures such as DRG system have to be implemented in the first place in order to also effectively use the business intelligence software.

<p>Denna rapport handlar om framtagandet av en webbaserad rapporteringsplattform för Sandvik IT. Uppsatsen bryter ner och illustrerar de delar i processen som krävs för konverteringen från en dokumentbaserad till en webbaserad rapporteringsmetod genom att utgå från Sandvik IT’s rapporteringsscenario. Den dokumentbaserade rapporteringsmetoden utgörs av Excel och den webbaserade av Reporting Services. Många implementeringstekniska delar som kan vara av intresse för utvecklare tas upp. Uppsatsen täcker in kostnadsfrågor för hela livcykeln av webbplattformen och en jämförelse görs av de båda rapporteringsscenariorna En stor tyngd läggs även på att visa de problem som kan uppstå på vägen från rapporteringsscenariot med Excel till Reporting Services. Metoden för arbetet är platsundersökning, litteraturstudie samt en systemutvecklingsmetod som kallas för Agile. I slutet av uppsatsen finns det bilagor som visar hur de slutgiltiga rapporterna kan se ut.</p>

<p>Inledning</p><p>Organisationer inom den offentliga och privata sektorn gör dagligen informationsuttag genom att använda olika datorbaserade verktyg för att kunna fatta bättre beslut genom det beslutsunderlag som tas fram. Dessa system används på olika nivåer i en organisation.</p><p>Problemdiskussion</p><p>Komplexiteten och intensiteten på marknaden är inga nya fenomen i dagens affärsmiljö då det ställer höga krav på beslutsfattarna. Därav finns det ett behov bland beslutsfattare att använda ett datorbaserat verktyg för att svara upp mot de höga kraven som ställs.</p><p>Syfte</p><p>Denna studie utvärderar analys- och rapporteringsverktyget QlikView och hur införandet av detta system i Jönköpings kommun påverkar första linjens chefer inom två av kommunens förvaltningar. Olika nyttoeffekter kommer att identifieras och utvärderas för att förstå vilket mervärde QlikView kan ge beslutsfattarna.</p><p>Metod</p><p>Kvalitativa och kvantitativa metoder har använts för att utvärdera faktorer i samband med införandet av QlikView. Dessa metoder har använts för att få en så rättvisande bild som möjligt av verkligheten. Kvalitativa intervjuer har utförts med olika nyckelpersoner och generaliserbarheten av studien har styrkts genom intervjuer med andra kommuner. Författarna har även utfört en gruppintervju med företaget QlikTech i Lund. Slutligen ingår även en observationsstudie i undersökningen.</p><p>Slutsats</p><p>Analysverktyget kan medföra olika nyttoeffekter som med stor sannolikhet kommer att realiseras vid användandet. Olika positiva effekter som är identifierade är tidsbesparingar vid informationsuttag, effektiv analys av information och en bättre kontroll av verksamheten. För att dessa nyttoeffekter ska realiseras så måste också användarna aktivt stödja denna förändringsprocess.</p>

Customer relationship management (CRM) is gaining momentum around the world and a majority of the organizations view customer experience provided by contact-centers as a competitive differentiator. Thus is the importance of understanding these systems very big. The purpose of the thesis is to create a cohesive solution, a prototype, to gather, aggregate and present viable business reports for a number of channels in such a system. The CRM-platform handled in this thesis is called Genesys InfoMart, which is developed by Genesys Telecommunications. The thesis defines the use-cases and reports to be compiled. It does also give a description of how data is cross- correlated across the database and how it was gathered. By involving domain-experts and using a scenario based- approach, requirements have been derived and reports have been developed. It is concluded that the conceptual scenarios were feasible. There are no limitations within the InfoMart data mart with respect to the functionality that the domain-experts demand. A cooperative-evaluation session showed that the conceptual design was approved and that it provided the functionality that the evaluation group requested. Thus concluded that the methodological approach was overall successful and that the requirements were met. It is however recommended to continue the development process by exposing the prototype to end-users evaluation. This can provide insights and information that can be very useful when developing the final product.

With mobile solutions becoming more requested in the IT world, Business Intelligence is no different. This thesis examines and tests the mobile solutions for Microsoft BI, QlikView and SAP Business Objects to see if it can be used by the Sandvik Group. The tests have consisted of creating standard simple reports for the different platforms, evaluate them and then compare their functions and looks on iPad and computers. During this work it has been stated that all platforms supports mobility quite well and the recommendation is to start using it as soon as possible.

Diploma thesis focuses on in-memory data processing, its use in reporting and Business Intelligence (BI) in general. The main goal of the theoretical part is to introduce the in memory principles, highlight the differences from hard drive data processing and overview possible implementations of in-memory technology in BI solution. The output of this section is an analysis of advantages and disadvantages of in-memory solutions in various perspectives. The practical part of the thesis consists of the performance benchmark that compares the performance of data processing using the in-memory principles and conventional hard drive methods. The performance comparison is realized in the reporting tools environment, QlikView for in-memory approach and Reporting Services for hard drive based method. Several data sets are used for testing in both mentioned tools. End of the chapter provides the assessment of testing results and discusses the strengths and weaknesses of both principles of data processing. The conclusion of this work discusses the advantages and disadvantages of in-memory data processing and defines the key questions that company management should ask before investing in innovation of the present BI solution. Moreover the conclusion contains recommendations for possible further follow-up work.

Diploma thesis deals with analysis of common requirements of mid-sized and major companies for financial reporting and with design and development of reporting tool which meets such requirements. The target of the thesis is to create the tool for financial reporting, which would be universal and allows user to set up by himself, easily and without interfering the source code, those parts of reporting tool which usually varies for different companies, so they can't be set both universally and precisely in advance. The tool is developed in QlikView environment, which provides many advantages for quality reporting. My contribution within this thesis is in the use of nontrivial practices and maximal utilization of QlikView environment possibilities in order to make the final financial reporting tool modular, parameterizable, expandable and applicable in any company environment and to enable it to transfer the role of reports set-up towards the user.

Diploma thesis focuses on Data Discovery tools, which have been growing in im-portance in the Business Intelligence (BI) field during the last few years. Increasing number of companies of all sizes tend to include them in their BI environments. The main goal of this thesis is to compare QlikView, Tableau and PowerPivot using a defined set of criteria. The comparison is based on development of human resources report, which was modeled on a real life banking sector business case. The main goal is supported by a number of minor goals, namely: analysis of existing comparisons, definition of a new set of criteria, basic description of the compared platforms, and documentation of the case study. The text can be divided into two major parts. The theoretical part describes elemental BI architecture, discusses In-memory databases and data visualisation in context of a BI solution, and analyses existing comparisons of Data Discovery tools and BI platforms in general. Eight different comparisons are analysed in total, including reports of consulting companies and diploma theses. The applied part of the thesis builds upon the previous analysis and defines comparison criteria divided into five groups: Data import, transformation and storage; Data analysis and presentation; Operations criteria; User friendliness and support; Business criteria. The subsequent chapter describes the selected platforms, their brief history, component architecture, available editions and licensing. Case study chapter documents development of the report in each of the platforms and pinpoints their pros and cons. The final chapter applies the defined set of criteria and uses it to compare the selected Data Discovery platforms to fulfil the main goal of this thesis. The results are presented both numerically, utilising the weighted sum model, and verbally. The contribution of the thesis lies in the transparent confrontation of three Data Discovery tools, in the definition of a new set of comparison criteria, and in the documentation of the practical testing. The thesis offers an indirect answer to the question: "Which analytical tool should we use to supplement our existing BI solution?"