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Vendor selection of a business inteligence tool

Natalija Hromec (2010) Vendor selection of a business inteligence tool. EngD thesis.

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    To achieve the strategic goals and enterprise efficiency are now days essential quick and reliable decisions. Information must also be in the right place at the right time, and must be presented to the right people in the right way. Reliable piece of information is available in real time and various ways to reduce the risk and uncertainty at taking decisions. It is necessary to assure the quality information in well-designed databases. Moreover, user interface tools which provide advanced users access to timely, efficient analysis and intuitive presentation of the right information. Information is necessarily to carry out regular activities and make the right decisions. Business Intelligence has evolved over decades and now offers the tools needed to improve decision-making within the organization. But although does not provide a systematic method of planning, monitoring, control and management of strategic objectives. Management efficiency and effectiveness (BPM) provides a means to bring together business strategies and structures for the entire organization. Business intelligence belongs in the first three levels of decision making: strategic, tactical and operational. Its importance is lowering by level reduces. Business intelligence has evolved from decision-making systems. Decision support systems (DSS) and Directors Information Systems (EIS), are application oriented, data warehousing (DW) and business intelligence systems (BI) are data oriented. Business process management (BPM) in addition to the above also includes the processes. The functions and characteristics of business intelligence are reporting and analysis, balanced scorecard, performance key indicators, dashboards, tools for visualization, predictive analytics, data mining, OLAP, ETL and EII. The multi-attribute decision models define a subjective assessment of the selection tools of business intelligence and serves as a support for a final decision. The purpose of this thesis was to build a decision-making model to assist in selecting the appropriate business intelligence tools provider; the model also includes my own assessment of the selection and serves as a support for a final decision in Trimo.

    Item Type: Thesis (EngD thesis)
    Keywords: Business intelligence, decision-making level, BPM, decision systems, balanced scorecard, dashboard, OLAP, data mining, multi-attribute decision-making model.
    Number of Pages: 73
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    izr. prof. dr. Marjan Krisper51Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=7736660)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 1083
    Date Deposited: 11 May 2010 11:33
    Last Modified: 13 Aug 2011 00:37
    URI: http://eprints.fri.uni-lj.si/id/eprint/1083

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