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In business economics, big data refers to extremely large and complex data sets that are difficult to process using traditional methods. It includes structured and unstructured data collected from sources like customer transactions, social media, sensors, and web activity. Businesses use big data to gain insights, forecast trends, improve decision-making, and personalise customer experiences.

Real-World Examples:

• Tesco uses big data from Clubcard transactions to analyse shopping habits and tailor promotions.
• Amazon tracks customer behaviour to make real-time product recommendations and manage inventory.
• Transport for London (TfL) uses data from Oyster cards to optimise transport routes and schedules.

Big data helps firms reduce costs, target marketing, and increase efficiency, giving a competitive advantage in dynamic markets. However, it also raises concerns about data privacy and requires significant investment in analytics tools and skills.