Krishna Pera

Big Data for Big Decisions: Building a Data-driven Organization, Taylor & Francis, 2022

About Krishna Pera With over three decades of experience in IT and business transformation consulting, Krishna Pera has worked across industry verticals. He has been Head of Global Business Services for a Singapore-listed $34bn Food & Agri-business company, and prior to that he was the Chief Operating Officer of a knowledge-process outsourcing company specializing in digital content solutions for global information media companies. During his career he has set up and scaled several businesses from scratch, and successfully turned around one midsized services company. Krishna Pera has pioneering experience in setting-up and scaling Shared Services Centers, Captives, and ODCs for Fortune-500 companies, including the first ever in a validated environment. Decades of experience managing implementations and global rollouts of various enterprise technologies has provided him with a unique understanding of strategic information lifecycle management in transnational firms, as well as every conceivable issue faced by managers in making informed decisions. Krishna has an in-depth understanding of ‘data’, both structured and unstructured, and building search-retrieval & repurposing solutions. Currently he runs a consulting entity focused on enabling companies on their journey to become data-driven organizations. His articles on data-driven organization published in Data Science Central are very popular with thousands of views, and are frequently quoted by noted Data Science Experts and Global consulting companies. Krishna considers working towards a 'scalable process-driven-success' as against ‘people-dependent-success’ as the biggest challenge in most organizations. A strong believer in leveraging technology for transformation of business, Krishna mentors startups working on innovative products and solutions. Krishna Pera has a postgraduate degree in Business Management from IIM, Bangalore, and graduate degrees in Law and Engineering. 

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