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  • 1.
    Bergvall, Jacob
    Linköping University, Faculty of Arts and Sciences. Linköping University, Department of Management and Engineering, Information Systems.
    Business Intelligence: En inblick i relationen mellan tillgänglig data och hur den används inom marknadsföring2017Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Today there are great opportunities to gather data related to a company’s customers, processes, goods and services no matter what line of business they are in. If you have resources and are interested there are endless opportunities to gather data, analyze it and then use it to develop and optimize the company. The purpose of this study is to examine challenges when it comes to the use of stored data in business intelligence and to look into which factors that affects the process of turning stored data into usable information that can be used when making marketing decisions. I have chosen to focus on the organizational aspects and connections between business intelligence and marketing with the help of a case study. The study uses a qualitative research approach and the empirical data consists of qualitative semi-structured interviews and data collection in terms of clustering. All empirical data has been gathered from a large Swedish IT-company. A thematic analysis of gathered empirical data leads to a result showing that there are a number of challenges when it comes to using stored data in business intelligence at a large Swedish IT-company. These challenges consist of; unclear visions and goals, economic priorities, unclear terminology and the approach to organizational structures. Results from the study also points out several factors that lies behind why all available data at a large Swedish IT-company is not used to its fullest potential within marketing. These factors are; old habits and adaptability to new technology, management and communication and finally time constraints and knowledge management.

    I have been able to see with this study that it takes a fundamental purpose to analyze something and that it is not certain that such a purpose always exists. It is hard to transform data into valuable information and also to optimize decision making if this purpose does not exist. There are many studies which demonstrate either the awareness by companies of the problems facing them in dealing with high volumes of data and/or their admission that they have a long way to cope with these volumes. I have with this study been able to see that this research problem may be useful and that it is highly relevant within a large Swedish IT-company.

  • 2.
    Bergvall, Jacob
    et al.
    Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Science & Engineering.
    Svensson, Louise
    Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Science & Engineering.
    Risk analysis review2015Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    The risk analysis process is the foundation of creating secure systems. An accurate and well defined risk analysis will therefore be a big help for any company, indicating what resources are needed and where they should be put to use. It can be difficult to know which risk analysis methodology to use given a set of parameters such as available resources, time, money etc. In this review we will introduce several different risk analysis methodologies and classify them using our risk analysis classification system. Our classification points out some of the pros and cons for each method, making it easier to choose the one best suited for a specific scenario. We will also connect the presented methods with real-world usage of said methods. To do this we have conducted interviews with IT-security experts at several major companies and we will present previous documented usage of risk analysis methods. Larger companies tend to develop their own methods for risk analysis, and smaller companies that do not have enough time or resources to develop their own methods are more likely to use already existing methods. With that said we believe that anyone that works with risk analysis could have use of our review.

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