Name: Data and Decision Analytics for Business Operations. Principles, Problems, and Practice
SKU: 64794595
Price: 2303.00 TWD
Availability: InStock
Author: Ma Nang Laik;Michelle L. F. Cheong

portada Data and Decision Analytics for Business Operations. Principles, Problems, and Practice

Data and Decision Analytics for Business Operations. Principles, Problems, and Practice

Type

Physical Book

Publisher

Springer International Publishing AG

Author

Ma Nang Laik;Michelle L. F. Cheong

Year

2024

Pages

323

Format

Paperback

Dimensions

23.5x15.5 cm

ISBN13

9783031722547

Data and Decision Analytics for Business Operations. Principles, Problems, and Practice

Ma Nang Laik;Michelle L. F. Cheong (Author) · Springer International Publishing AG · Paperback

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Synopsis "Data and Decision Analytics for Business Operations. Principles, Problems, and Practice"

In this book, readers will be exposed to the Data and Decision Analytics Framework which helps a business analyst to first identify the root cause of business problems by collecting, preparing, and exploring data to gain business insights, before proposing what objectives and solutions should be developed to solve the problems. To guide the reader through the learning and application of this framework, several cases are included in the book to illustrate the typical operations management problems faced by businesses. These cases are based on experiences in business domains such as retail, healthcare, transportation and logistics operations, and banking, and they are related to demand forecasting, inventory management, distribution management, capacity planning, resource allocation, workforce scheduling, and service system management. For each case, a complete mapping of the case into the Data and Decision Analytics Framework was done to explain how the framework was applied to derive the data insights from data analytics, to define the business objectives, make the necessary assumptions, and then develop the solution to the business problem. This book aims at senior-year undergraduate or graduate students studying industrial engineering, business management with a focus on operations, or data science. They will learn how to use data analytics to first analyze problems to identify the root cause of problems, before developing the solutions supported by decision analytics.