Using data for strategic decision-making in large corporations

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The article explores the potential of using big data analytics and machine learning for strategic decision-making in large corporations. It examines the theoretical foundations of these technologies and their impact on management. Big data analytics allows for the identification of hidden patterns, resource optimization, and market change forecasting. Machine learning automates routine processes, reducing the likelihood of errors and enhancing innovation. Examples of successful technology implementation in companies such as Procter & Gamble, Citadel, and Sberbank demonstrate their significant advantages in improving competitiveness and management efficiency.

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Big data, machine learning, analytics, corporate governance, strategic decisions, automation, innovation, optimization

Короткий адрес: https://sciup.org/170206387

IDR: 170206387   |   DOI: 10.24412/2500-1000-2024-8-3-204-210

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