Big Data Analytics: A Practical Guide
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Big data analytics is a transformative process that harnesses large volumes of data to uncover insights and drive informed decisions. Businesses and organizations use sophisticated tools and algorithms to analyze diverse data sources, such as customer interactions, social media trends and operational metrics. This analysis reveals patterns, correlations and trends that traditional methods might miss, empowering companies to optimize operations, innovate products and enhance customer experiences. In healthcare, it supports predictive analytics for personalized treatments and public health strat...
Big data analytics is a transformative process that harnesses large volumes of data to uncover insights and drive informed decisions. Businesses and organizations use sophisticated tools and algorithms to analyze diverse data sources, such as customer interactions, social media trends and operational metrics. This analysis reveals patterns, correlations and trends that traditional methods might miss, empowering companies to optimize operations, innovate products and enhance customer experiences. In healthcare, it supports predictive analytics for personalized treatments and public health strategies. In finance, it detects fraud and manages risks more effectively. By integrating big data analytics responsibly and ethically, businesses can leverage its potential to drive growth, efficiency and competitiveness while establishing positive impacts on society and individuals. The book aims to shed light on some of the unexplored aspects of big data analytics. It explores all the important aspects of data science and analysis in the present day scenario. This book is a complete source of knowledge on the present status of this important field.
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