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A blockchain is a digitized, decentralized, open system of records. Of late, there is a phenomenal spurt in the research and application activities of the catch-all phrase analytics, which subsumes machine learning, text mining, classical optimization, artificial intelligence, evolutionary computing, visual analytics, big data analytics, etc. in many a diverse field. Consequently, even new technology like blockchain is not left behind. This chapter presents a comprehensive survey of 33 papers that appeared between 2016 and 2018 under the theme, ‘Analytics and Blockchain', which focuses on how analytical approaches and blockchain implementation are symbiotically related to improve their overall performance in solving various real-world problems. The core idea behind the survey is to facilitate the reader to appreciate the utility of analytical methods to the design, implementation, and application of blockchain and suggesting future directions for further research.