The rapid surge in data in the digital era has taken sophisticated analytics to transform raw data into profound insights. This chapter examines the cooperation of big data and blockchain technology to run safe and effective analytics results. With its intrinsic devolution, immutability, and transparency, blockchain offers a capable basis for firmly keeping and analyzing large-scale information. Big data analytics, on the other hand, provides clever approaches to obtaining big patterns, making projections, and gaining visions that may help industries like banking, healthcare, and supply chain organizations. The chapter opens with a review of blockchain, big data, and analytics, emphasizing their importance in advancing decision-making processes. The dealings of these technologies are further explored, proving the need to chain analytics with blockchain for safe data management and important analytics. Blockchain analytics, involving network, transaction, brilliant contract investigation, machine learning, and data mining, are tackled to accentuate its potential security. The tools, platforms, and technology that facilitate blockchain analytics are examined, with practical perceptions of their deployment. The chapter also examines real-world applications and uses improvements in which blockchain analytics betters big data operations, increasing security, efficiency, and faith. Open research questions and future proposals include increased data scalability, privacy defense, and efficient computer science methodologies. Initial topics in Blockchain analytics, such as analytical modeling, natural language processing, and optimization approaches, are also emphasized to give a road map for future development. The conclusion provides significant insights, emphasizing the rising consequences of blockchain analytics in securely continuing and reading big data. This chapter provides complete intelligence of how blockchain and big data may be operated to create innovative and safe analytics solutions.