Spelling suggestions: "subject:"business intelligence -- evaluatuation"" "subject:"business intelligence -- evalualuation""
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Kritéria hodnocení nástrojů pro tvorbu dashboardů v řešeních BI / Evaluation `s criteria of the tools for creation dashboards in BI solutionsChrást, Tomáš January 2008 (has links)
Extensive solutions of Business Intelligence consist of wide range of projects. One of them is generating of reporting layer whose part is setting of dashboards. This diploma thesis deals with dashboards and tools serving to their formation. In the first part of the thesis there is explained the theory of dashboards in current company informatics. Consequently there is created a set of evaluative criteria helping with mutual comparison of the tool for the forming of dashboards, which is the primary aim of the thesis. In the last part of the thesis there is a presentation and evaluation of one selected tool (Dashboard Designer) according to the criteria stated in the thesis. During the evaluation of the tool it is possible to verify some of the criteria on the basis of practical experience. That is why the demonstrative implementation of Dashboard Designer over the test data is shown. Thus the second aim of the diploma thesis is completed. Aforementioned targets are achieved on account of pieces of knowledge about dashboards coming especially from the literature published by authorities in the line of business and from background research concerned with contemporary approach to the evaluation of tool for the forming of dashboards. In addition to formed criteria this diploma thesis can be instrumental to further discussion about dashboards and their role in current company informatics.
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BI Governance / Business Intelligence GovernanceKnap, Pavel January 2009 (has links)
The thesis is focused on the area of Business Intelligence Governance that seeks to management BI as a complex environment in an organization. The goal of this thesis is to create comprehensive BIG framework that will help to understand and lead BI, to support business strategy execution. The fist part of this thesis is introduction to the area of BIG. It contains definition of the term BI, description of trends in BI, definition of the term BIG and the answer on question Why do we need to governance BI. The second part focuses on description and evaluation of existing BIG instruments. The third part handles about new BIG framework and authorities. It describes particular building blocks of the framework and discovers structure of BIG authorities.
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Guidelines for the usability evaluation of a BI application within a coal mining organizationJooste, Chrisna 07 April 2014 (has links)
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)
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Guidelines for the usability evaluation of a BI application within a coal mining organizationJooste, Chrisna 07 April 2014 (has links)
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)
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