Project management models to create IT company in the field of Data Science

Alexander Timinsky

Faculty of Information Technologies, Taras Shevchenko National University of Kyiv, Ukraine

orcid.org/0000-0001-8265-6932

Anna Kolomiiets

Faculty of Information Technologies, Taras Shevchenko National University of Kyiv, Ukraine

orcid.org/0000-0003-4252-5975

 Olga Mezentseva

Faculty of Information Technologies, Taras Shevchenko National University of Kyiv, Ukraine

orcid.org/0000-0002-8430-4022

Abstract

DOI: https://doi.org/10.17721/AIT.2021.1.11

The basis for the emergence of projects to create IT companies in the field of Data Science is considered. The relevance of such projects is substantiated. The feasibility of their study using models and methods of project management is proven. Literary sources in three directions are analyzed. Such areas include classical project management, flexible approaches to project management, value-oriented management. Insufficient research of the described subject is proved. Groups of models and methods are described that describe the relevant areas of project management knowledge that will be necessary and minimally sufficient to develop the scientific basis of the IT company creation project in the field of Data Science. Namely: project team management, project value management, project concept development, project content management, project communications management, flexible project management tools. In the analysis of each area, the relevant models and methods are highlighted. Their applicability to the researched project is analyzed. A model for selecting a set of models and methods within the identified key knowledge areas for the research project in the form of a convolution of criteria is proposed. SWOT-analysis of the proposed approach was performed. The strengths, weaknesses, opportunities and threats associated with the proposed approach are highlighted. Conclusions to the study are formulated. Prospects for further research in the chosen direction are outlined.

Keywords – information technologies, project management, Data Science, IT company.

Information about the author

Alexander Timinsky. Candidate of technical sciences (Ph.D.), Associate Professor of the Department of Management Technologies, Faculty of Information Technology, Taras Shevchenko National University of Kyiv, Ukraine. He received a degree in automated control of technological processes and production at the Kyiv National University of Construction and Architecture in 1994. He also received the degree of Candidate of Sciences in 2001. Since 2014 he has been teaching at the Faculty of Information Technologies of the Taras Shevchenko National University of Kyiv. Author of more than 100 scientific works, including 2 textbooks and 1 monograph.

Anna Kolomiiets. Candidate of Economic Sciences (Ph.D.), Associate Professor of the Department of Management Technologies, Faculty of Information Technologies, Taras Shevchenko National University of Kyiv, Ukraine. She received a master’s degree in economic cybernetics from the National Technical University of Ukraine “Kyiv Polytechnic Institute named after Igor Sikorsky” in 2011. She received the degree of Candidate of Sciences at the National Technical University of Ukraine “Kyiv Polytechnic Institute named after Igor Sikorsky” in 2015. Since 2015 he has been teaching at the Faculty of Information Technologies of the Taras Shevchenko National University of Kyiv. Author of more than 60 scientific papers, including 2 textbooks and 2 monographs.

Olga Mezentseva. Candidate of Economic Sciences (Ph.D.), Associate Professor of the Department of Management Technologies, Faculty of Information Technology, Taras Shevchenko National University of Kyiv, Ukraine. She received a master’s degree in business economics from the National Technical University of Ukraine “Kyiv Polytechnic Institute named after Igor Sikorsky” in 2010. She received the degree of Candidate of Sciences at the National Technical University of Ukraine “Kyiv Polytechnic Institute named after Igor Sikorsky” in 2015. Since 2016 he has been teaching at the Faculty of Information Technologies of the Taras Shevchenko National University of Kyiv. Author of more than 60 scientific papers, including 1 textbook and 1 monograph.

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