Data analysis of the logistics comapany’s data by means of business intelligence

Miroslava Muchová, Ján Paralič, Barbora Nagyová

Data analysis of the logistics comapany’s data by means of business intelligence

Číslo: 4/2018
Periodikum: Acta Electrotechnica et Informatica
DOI: 10.15546/aeei-2018-0034

Klíčová slova: Business Intelligence, CRISP-DM, Oracle, Data mining, logistics

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Anotace: The aim of this article is to present how we processed and analysed data from a logistics company using various Business Intelligence tools. The theoretical part of the article is therefore focused on defining Business Intelligence concepts and data warehouses that are relevant to the issue. The practical part of the article focuses on editing data, creating dimension tables and facts. The data were collected from the Dynafleet system and originated from a shipping company. The data provided are for the period from 2013 to 2016. We design user scenarios to help the company's manager in making an efficient assignment of drivers to planned delivery routes. The research is focused on design and creation of a logistics system based on data analytics that can continuously analyze the incoming data and generate current decision support reports. The created user scenarios have a wide range of uses and can also be helpful in assessing the performance of individual drivers and their workloads. Using a logistics system, the logistics manager can get the valuable and useful information needed to effectively operate the business.