data-driven forecasting
[/ˈdeɪtə ˈdrɪvən ˈfɔːrkæstɪŋ/]
noun
previsão baseada em dados
1. A forecasting methodology that relies on statistical analysis and machine learning algorithms applied to historical and current data to predict future trends, outcomes, or behaviors
The company uses data-driven forecasting to predict quarterly sales and optimize inventory management.
A empresa utiliza previsão baseada em dados para prever vendas trimestrais e otimizar a gestão de estoque.
2. The process of making predictions about future events using quantitative data analysis rather than intuition or subjective judgment
Data-driven forecasting has become essential in supply chain management and demand planning.
A previsão baseada em dados tornou-se essencial no gerenciamento da cadeia de suprimentos e no planejamento de demanda.
This term is increasingly prevalent in both Brazilian and American business cultures, particularly in technology sectors, e-commerce, and financial services. In Brazil, companies are rapidly adopting data-driven forecasting as digital transformation accelerates. In the USA, it has been a standard practice in corporate decision-making for over a decade, reflecting the country's early adoption of big data and analytics technologies.
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