Summary of Big Data in Practice

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Rating

7

Qualities

  • Innovative
  • Applicable
  • Concrete Examples

Recommendation

Big data expert Bernard Marr provides a practical, valuable and nearly hype-free reference to the current state of big data, including predictive analytics, machine learning and artificial intelligence (AI), now in use across many industries in various ways. He offers 45 case studies from more than a dozen industries to illustrate and describe how organizations generate, collect, analyze and act on the big data. Marr’s grammatical style and seemingly random organization of chapters take a toll, however, getAbstract recommends his study of each firm’s unique practices to business leaders across all industries. Seasoned data scientists may find the material basic, but anyone else interested in this field will gain a fresh understanding.

About the Author

Bernard Marr consults, speaks and writes on big data and analytics.

 

Summary

A Big Deal

Today enormous data generation combined with powerful analytics, algorithms and artificial intelligence (AI) as well as cheap data storage, make this the era of big data. Big data may not last – at least, not as a business term. Given the inconceivable amounts of data that nearly every organization, across all industries, produces every day, the emphasis will move to “smart data.” Companies that use data selectively, analyze them wisely and apply them to improve their decision making, will gain a competitive advantage over those that don’t.

Big data affects almost every industry and every job. Almost everything you do at work and much of what you do at home – web surfing, social media activity, watching TV, playing online games, and sending emails and texts – now produces data that multiple organizations collect, analyze and act on for their profit. More industrial, office-based and household devices – an estimated “50 billion by 2020” – connect to the Internet, creating the pervasive Internet of Things (IoT). Every organization, regardless of size or industry, must embrace big data and analytics to compete and thrive. Now, every...


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    G. G. 1 year ago
    BIG DATA
    la sociedad actual genera una cantidad asombrosa de datos( correo, Facebook, YouTube, ventas on line, visitas a google, sensores en diferentes puntos de la tierra, en los mercados, tiendas, etc), y en esta era de conexión internet todos datos pueden ser analizados i utilizados para la aplicación empresarial, de entretenimiento, tendencias de moda, gastronomía, ventas, entretenimiento, la ciencia, etc.
    Las supercomputadoras, los algoritmos permiten utilizar los datos almacenados .