Summary of Big Data in Practice

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Big Data in Practice book summary


7 Overall

7 Applicability

7 Innovation

8 Style


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.

In this summary, you will learn

  • Why organizations must embrace big data and analytics to succeed; and
  • How different organizations apply big data, analytics, machine learning and AI successfully to gain competitive advantage.

About the Author

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



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.

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    GONZALO GARCIA 2 months ago
    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 .

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