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Data Science approach for IT project management

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dc.contributor.author GRABIS, Janis
dc.contributor.author HAIDABRUS, Bohdan
dc.contributor.author PROTSENKO, Serhiy
dc.contributor.author PROTSENKO, Iryna
dc.contributor.author ROVNA, Anna
dc.date.accessioned 2019-10-31T12:18:55Z
dc.date.available 2019-10-31T12:18:55Z
dc.date.issued 2019
dc.identifier.citation GRABIS, Janis, HAIDABRUS, Bohdan, PROTSENKO, Serhiy et al. Data Science approach for IT project management. In: Electronics, Communications and Computing: extended abstracts of the 10th Intern. Conf.: the 55th anniversary of Technical University of Moldova, Chişinău, October 23-26, 2019. Chişinău, 2019, p. 31. ISBN 978-9975-108-84-3. en_US
dc.identifier.isbn 978-9975-108-84-3
dc.identifier.uri http://repository.utm.md/handle/5014/5774
dc.description Abstract en_US
dc.description.abstract Majority of the IT companies realized that ability to analyse and use data, could be one of the key factors for increasing of number of successful projects, portfolios, programs. Key performance indicators based on data analysis helps organizations be more prosperous in a long term perspective. Also, statistical data are very useful for monitoring and evaluation of project results which are very important for managers, delivery directors, CTO and others high level management of company. The Data Science methods could make more efficient project management in several of business problems. en_US
dc.language.iso en en_US
dc.publisher Tehnica UTM en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject machine learning en_US
dc.subject project management en_US
dc.subject data analysis en_US
dc.title Data Science approach for IT project management en_US
dc.type Article en_US


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  • 2019
    Extended Abstracts of the: The 10th IC|ECCO; October 23-26, 2019

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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