The composition of the scientific group: Sydorova, A., Burkina, N., Popovskyi, Yu.
Short description of the project
The training on Data Science and Data Analysis is aimed at demonstrating how to use big data and process it to promote effective decision-making in the area of management. The practical part of the training involves building by students of data science models in MS Excel, StatSoft Statistica Enterprise, SPSS and MS Power BI.
Practical application of the models can help to define weak points and trends on the market as soon as possible; manage the outflow of customers; assess risks and make forecasts in sales and marketing more accurately; identify the target audience, segment customers, communicate in a personalized way in the mass market and create personalized offers; structure and visualize large data sets; build analytical and management decision-making dashboards.
The training is designed for those who understand the importance of solutions based on modern approaches and tools of data processing (analytics, machine learning, Big Data, artificial intelligence, etc.); want to understand the opportunities of a systematic approach to data analysis; want to identify the best ways of using these technologies in an organization (marketing, sales, logistics, operations management, production, finance, HR-management, risk management, etc.); look for conceptually new, groundbreaking solutions for their business (a new level of personalized proposals, creation of new products and services, other business models).
Customer outflow management; risk assessment and forecasting in sales and marketing; identification of the target audience, implementation of customer segmentation for personalized communication in the mass market and creation of personal offers; structuring and visualization of large data sets; creation of analytical and management decision-making dashboards.
Kozlovskyi, S., Shaulska, L., Butyrskyi A., Burkina, N., Popovskyi Yu. The marketing strategy for making optimal managerial decisions by means of smart analytics. Innovative Marketing. Issue 4. 2018. P. 1-18.
Sydorova, A., Gontyuk, V. Assessment of human resources of enterprises based on the competency-based approach. Economics and organization of management. 2019. No.2 (34). P. 37-45 (in Ukrainian).
Burkina, N. Development of the concept of business efficiency. Galician Economic Bulletin. # 1 (56). 2019. P. 5-17 (in Ukrainian).
Burkina, N. Opportunities of digital economy and data analytics for Ukrainian entrepreneurs. Economics and organization of management. Vinnytsia, 2019. – Issue 4. (Article in English in Ukrainian journal).
Burkina, N., Batuev O. Business intelligence analyst as a data transformator in business insights. Proceedings of the XIX International Scientific Conference of students, graduate students and young scientists “Management of socio-economic systems: globalization, entrepreneurship, sustainable economic growth” (November 13-15, 2019, Vinnytsia). Volume 2. Ed.board: Khadzhynov I. (chairman) and others. Vinnytsia: Vasyl’ Stus Donetsk National University, 2019. Vol.2. P.3-4 (Article in English in Ukrainian journal).
Burkina, N. Using of Big data in a digital economy. Strategic priorities of economic transformation in the conditions of digitalization: materials of the International scientific-practical conference, Zaporizhia, October 29-30, 2019 / National University “Zaporizka Polytechnyka”. Zaporizhia: FOP Mokshanov V., 2019. P. 48-51 (in Ukrainian).