Predictive analytics, data mining and big data : myths, misconceptions and methods / Steven Finlay
Tipo de material: TextoDetalles de publicación: London : Palgrave Macmillan, 2014 Descripción: XI, 248 p. : il.; 22 cmISBN: 9781137379276Tema(s): Consumidores -- Conducta | Bases de datos | Minería de datos | Proceso electrónico de datosResumen: Predictive analytics, data mining and big data are key topics for organizations who want to leverage the ever increasing amounts of data that they hold about people. This easy to read, in-depth guide provides readers with a solid understanding of predictive analytics, and how it should be applied to improve business decision making and operational efficiency. This includes how to avoid the pitfalls and dangers of introducing predictive analytics to a business area for the first time, legal, ethical and cultural issues that need to be considered, and a contextual road map for developing solutions that deliver real benefits to organizations. This how-to-guide will help managers to make the most of these technologies in their business area.Tipo de ítem | Biblioteca de origen | Signatura | URL | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
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Monografías | 03. BIBLIOTECA INGENIERÍA PUERTO REAL | 366.1/FIN/pre (Navegar estantería(Abre debajo)) | Texto completo | Disponible Ubicación en estantería | Bibliomaps® | 3744192836 |
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Bibliografía: p. 227-245
Predictive analytics, data mining and big data are key topics for organizations who want to leverage the ever increasing amounts of data that they hold about people. This easy to read, in-depth guide provides readers with a solid understanding of predictive analytics, and how it should be applied to improve business decision making and operational efficiency. This includes how to avoid the pitfalls and dangers of introducing predictive analytics to a business area for the first time, legal, ethical and cultural issues that need to be considered, and a contextual road map for developing solutions that deliver real benefits to organizations. This how-to-guide will help managers to make the most of these technologies in their business area.
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