In the retail industry, navigating big data poses multifaceted challenges. Coping with the massive influx of customer data, transaction records, and social media insights can overwhelm traditional analytics systems, leading to missed opportunities. Integrating data from various channels, such as e-commerce platforms and brick-and-mortar stores, presents complexities in achieving a comprehensive view of customer behavior. Data quality and accuracy concerns further hinder effective decision-making and personalization efforts. Striking a balance between utilizing consumer insights while respecting privacy regulations remains a critical challenge for retailers looking to harness the full potential of big data.