Name: Be Data Analytical: How to use Analytics to Turn Data Into Value (en Inglés)
Price: 2093.37 MXN
Availability: InStock
Author: Morrow, Jordan
ISBN: 9781398609303

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portada Be Data Analytical: How to use Analytics to Turn Data Into Value (en Inglés)

Formato

Libro Físico

Autor

Jordan Morrow

Editorial

Kogan Page

Idioma

Inglés

N° páginas

272

Encuadernación

Tapa Dura

ISBN13

9781398609303

N° edición

Categorías

Estrategia empresarial
Data mining: minería de datos

Be Data Analytical: How to use Analytics to Turn Data Into Value (en Inglés)

Jordan Morrow (Autor) · Kogan Page · Tapa Dura

Libro Físico

$ 2,093.37

$ 3,806.13

Ahorras: $ 1,712.76

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Be Data Analytical: How to use Analytics to Turn Data Into Value (en Inglés)"

Be Data Analytical is the book organizations and individuals need to understand how to truly use analytics to turn data into valuable insights and drive smarter decision making. Data needs analytics to turn it into value and for organizations to be truly data-driven, they need to use analytics correctly. However, most organizations do not move beyond the first, most rudimentary stage of analytics. They miss out on the powerful insights and opportunities available with all the four levels of analytics: descriptive, diagnostic, predictive and prescriptive. Be Data Analytical reveals how to supercharge data value through all the four levels of analytics, bringing data to life and enhancing data-driven decision making. Be Data Analytical examines each of these four levels of analytics in-depth: what they are, why they matter, how they can be used strategically and how they can be implemented. The book also explores how individuals and organizations can improve their skills and performance in each of these areas. Written by a global trailblazer in the world of data literacy, the book shows professionals, managers, leaders and organizations how to use analytics for the successful and strategic conversion of data into value, insight and action.