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Big Data: How to get value from data with Business Intelligence & Marketing Technologies in Management 4.0: 1 (Artificial Intelligence) - Softcover

 
9798674426875: Big Data: How to get value from data with Business Intelligence & Marketing Technologies in Management 4.0: 1 (Artificial Intelligence)

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Are you interested in learning Big Data and its benefits? If yes, then you’ve come to the right place!

The generation of large amounts of data has become a common feature of modern society. The data is produced in many business sectors, by companies, governments, and even individuals. It has been reliably estimated by business surveys, that over 90% of the data currently stored worldwide was generated within the last decade!

It has become apparent that the old methods for collecting, storing, and processing data do not generally scale up when dealing with large data sets. New approaches that have the refinements necessary for optimally managing and working with what is now commonly termed as “big data” are needed. To support this, the notion of data science has gained traction, particularly in terms of formulating improved techniques for big data management and data mining.

A by-product of enhanced management of big data is the fact that it is possible to use the information extracted to support better business decision-making.

Besides, well designed big-data systems offer timeliness and veracity of the information produced. These are essential requirements for effective business intelligence.

In those cases, irrespective of their size, businesses can function with greater agility, and are better able to meet their strategic goals.

This book covers the following topics:

  • How To Handle And Manage Big Data
  • Start With Strategy
  • Apply Analytics
  • A Step-By-Step Guide For Conducting Data Analysis For Your Business
  • The Data Science Process
  • Benefits Of Big Data
  • The Future Of Data Science And Big Data

…And much more!

Click buy now and start learning Big Data!


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Mazziotti, Tommaso
Verlag: Independently published, 2020
ISBN 13: 9798674426875
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