DATA-DRIVEN DECISION MAKING: UTILIZING ANALYTICS AND MACHINE LEARNING TO IMPROVE MARKETING STRATEGIES AND CUSTOMER TARGETING FOR DISTRIBUTION COMPANIES IN UZBEKISTAN
DOI:
https://doi.org/10.55439/yutsftim/601Kalit so‘zlar:
Marketing strategy, data analysis, machine learning, distribution, customer targeting, data-driven decision making, customer segmentation, market segmentationAbstrak
Uzbekistan is a country with one of the most rapidly developing economies in Central
Asia. With its annual steady economic growth and the improvement of allocated
expenses per capita potential for importing goods by distribution companies in
Uzbekistan are poised for growth. However, in order to succeed in a competitive
market, these companies need to have an effective marketing strategy and target the
right customers. In recent years, data-driven decision making has emerged as a
powerful tool in achieving these goals.
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Winning Data-Driven Marketing Strategies | Maryville Online
