Name: Developing a Path to Data Dominance: Strategies for Digital Data-Centric Enterprises (en Inglés)
Price: 102820.00 CLP
Availability: InStock
Author: Langer, Arthur ; Mukherjee, Arka
ISBN: 9783031264030

portada Developing a Path to Data Dominance: Strategies for Digital Data-Centric Enterprises (en Inglés)

Formato

Libro Físico

Autor

Arthur Langer

Arka Mukherjee

Editorial

Springer

Idioma

Inglés

N° páginas

283

Encuadernación

Tapa Blanda

ISBN13

9783031264030

N° edición

2023rd

Categorías

Gestión del conocimiento empresarial
Software empresarial
Bases de datos

Developing a Path to Data Dominance: Strategies for Digital Data-Centric Enterprises (en Inglés)

Arthur Langer (Autor) · Arka Mukherjee (Autor) · Springer · Tapa Blanda

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Reseña del libro "Developing a Path to Data Dominance: Strategies for Digital Data-Centric Enterprises (en Inglés)"

Most existing companies struggle currently because they lack the tools and strategies to move product departments into independent platforms that can be retrofitted to form dynamic new products based on consumer demands. This book provides managers and professionals with the necessary approaches for designing software and hardware architectures to support data platform organizations. Specifically, it demonstrates how to automate the decomposition of existing platforms into smaller parts that can be reused to form new variations. This task requires significant analysis and design methodologies and procedures to create an infrastructure based on data as opposed to products. These new knowledge bases allow data-centric professionals to pursue actions that can better predict and respond to the unexpected. Featuring case examples from companies such as Lego, FedEx, General Electric (GE), Pfizer, P&G and more, this book is appropriate for C-level executives engagedin the digital transformation of their firms; entrepreneurs of digital platform companies; and senior software engineers that need to design Internet of Things (IoT) devices and integrate them with block chain and multi-cloud architectures. In addition, this book is also useful for graduate-level coursework in data science.