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Systemy inteligencji biznesowej w prognozowaniu zużycia gazu ziemnego

Chrulski Tomasz

Przemysł Chemiczny

2021

T. 100, nr 12

1170--1172

Dokonano przeglądu popularnych aplikacji informatycznych w zakresie analityki biznesowej, które mogą posłużyć do prognozowania zużycia gazu ziemnego. Przeglądu dokonano, opierając się na ogólnej wiedzy teoretycznej związanej z tym zagadnieniem, i pod kątem rodzaju wykorzystywanych modeli prognostycznych przez poszczególne aplikacje. Przedstawiono perspektywy rozwoju narzędzi informatycznych w zakresie analityki biznesowej.

A survey was conducted with the use of an electronic questionnaire on the used business intelligence systems among employees from the energy industry. Power BI and Tableau were the most popular among the surveyed respondents. Popular IT applications in the field of business analytics that can be used to forecast natural gas consumption were reviewed.

An attempt to determine the scope of duties of the business analyst – application of text mining analysis

Wyskwarski Marcin

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

2020

z. 148

795--810

Purpose: An attempt to identify the scope of duties of the business analyst by analyzing job offers from websites. Design/methodology/approach: Job offers were automatically downloaded from five websites. An analysis of text mining of fragments of offers describing the scope of duties was carried out. The analysis of text mining included initial text processing, creation of corpora of analyzed documents, creation of a document-term matrix and the use of classic methods derived from data mining. Findings: The most frequently used words/n-grams and the correlation of selected words/ n-grams with other words/n-grams were presented in the form of drawings. Based on the frequency of words/n-grams and the correlation value, efforts were made to identify the responsibilities of the business analyst. Research limitations/implications: Only offers written in Polish, downloaded from five websites with job offers, which had the phrase “business analyst” in their job title, were analyzed. The data was collected between 13 and 15 April 2020. Practical implications: The method applied can be used by organizations preparing for the profession of a business analyst, to modify and better adapt curricula to the needs of the labor market. Originality/value: Studies have shown that text mining of job offers can, to some extent, help determine the responsibilities of a business analyst.