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How Does Data Analysis Work In Times Of Big Data?

Table of contents:

How Does Data Analysis Work In Times Of Big Data?
How Does Data Analysis Work In Times Of Big Data?

Video: How Does Data Analysis Work In Times Of Big Data?

Video: How Does Data Analysis Work In Times Of Big Data?
Video: Реклама подобрана на основе следующей информации: 2023, December
Anonim

Data is the gold of the future. At a time when more data than ever about our environment is collected and readable via sensors, it is difficult to use the mass of information wisely. At the same time, big data technology reveals unused potential and offers opportunities for increasing efficiency.

With preselected data, algorithms seem to deliver almost perfect results on their own. Sometimes the picture emerges that data analysis does not require much more than a capable computer and good software. However, application scenarios in non-IT companies, in which data analytics are just being introduced, paint a completely different picture of reality.

Specialist book shows how analytics projects can be implemented in the long term

The specialist book "Data Analytics in Production and Logistics" helps to implement analytics projects in the long term. The author Dr. Johannes Kröckel himself has worked on analytics projects in various roles for many years. The specialist book is not only about sub-aspects from the field of analytics such as methods or tools, but also about the organizational and technical aspect. This includes considerations for setting up departments and the selection of projects as well as a general approach, algorithms and tools.

The textbook aims to provide an understanding of data analytics in companies, since a common language and understanding, according to the author's experience, are actually the central factors for successfully implementing analytics projects.

Order the book free of charge - also available as an eBook!

An extract from the table of contents:

  • Roles and team structures
  • Action
  • Data
  • Tools
  • Use cases
  • Application stories

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