Data has emerged as one of the most valuable organizational assets in the digital economy. Modern enterprises generate vast amounts of structured and unstructured data through business operations, customer interactions, digital platforms, supply chains, and connected devices. Data-driven innovation refers to the systematic use of data, analytics, artificial intelligence (AI), and advanced technologies to create new products, services, business processes, and strategic opportunities. Organizations increasingly leverage data-driven approaches to enhance decision-making, improve operational efficiency, strengthen customer engagement, and achieve sustainable competitive advantage. This study examines the role of data-driven innovation in modern enterprises through a comprehensive review of contemporary literature and industry practices. The findings indicate that organizations adopting data-driven innovation strategies experience higher levels of innovation capability, business agility, customer satisfaction, and financial performance. However, challenges including data quality, privacy concerns, technological complexity, and organizational resistance remain significant barriers. The study proposes an integrated framework for implementing data-driven innovation and highlights future trends shaping enterprise competitiveness in the digital era.