| Title: | Development and optimisation of a business intelligence system : master's thesis |
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| Authors: | ID Žohar, Mark (Author)
ID Kokol, Peter (Mentor) More about this mentor... 
ID Luiz Barreto, Mary Alejandra (Comentor) |
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| Files: |  MAG_Zohar_Mark_2023.pdf (1,69 MB)
MD5: B2FA18F052206A70F095490494CA3D65
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| Language: | English |
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| Work type: | Master's thesis/paper |
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| Typology: | 2.09 - Master's Thesis |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
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| Abstract: | In the fast-paced business landscape, unexpected events can pose significant challenges for companies. A lot of times, business intelligence presents a solution for companies in dealing with changes and improving organizational efficiency. As part of this master’s thesis, we have developed a business intelligence system that assists in the planning of new releases of smartphone components. We have simulated data and created reports, which can help the stakeholders to plan and analyze important milestones easily. We have tested two different data structures and showed how star schema is the most beneficial data structure for our BI system. We achieved this by restructuring data into a star schema model at different stages of migration and then compared the size of data and responsiveness of operations. |
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| Keywords: | business intelligence, star schema, data modeling |
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| Place of publishing: | Maribor |
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| Place of performance: | Maribor |
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| Publisher: | [M. Žohar] |
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| Year of publishing: | 2023 |
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| Number of pages: | 1 spletni vir (1 datoteka PDF (XVI, 68 f.)) |
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| PID: | 20.500.12556/DKUM-84429 |
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| UDC: | 004.434:004.8(043.2) |
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| COBISS.SI-ID: | 158063363 |
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| Publication date in DKUM: | 27.06.2023 |
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| Views: | 551 |
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| Downloads: | 86 |
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| Metadata: |    |
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| Categories: | KTFMB - FERI
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