Introduction to Business Analytics Using Simulation

Name: Introduction to Business Analytics Using Simulation
Brand: Elsevier Books
SKU: 9780323917179
Price: 101.16 EUR
Availability: InStock

Autor: Jonathan Pinder

Jazyk:

Väzba: Brožovaná

Vydavateľ: Elsevier Books

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101.16 €

Introduction to Business Analytics Using Simulation employs an innovative strategy to teach business...

Informácie o knihe

Autor

Jonathan Pinder

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2022

Stránok

512

EAN

9780323917179

Enbook ID

36972770

Vydavateľ

Elsevier Books

Hmotnosť

1054

Rozmery

238 x 193 x 33

Kompletný popis

Introduction to Business Analytics Using Simulation employs an innovative strategy to teach business analytics. It uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on the uncertainty and variability of business, this comprehensive book provides a better foundation for business analytics than standard introductory business analytics books. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. Teaches managers how they can use business analytics to formulate and solve business problems to enhance managerial decision-making Explains the processes needed to develop, report, and analyze business data Describes how to use and apply business analytics software Offers expanded coverage on the value and application of prescriptive analytics Includes a wealth of illustrative exercises, newly organized by difficulty level Winner of the 2017 Textbook and Academic Authors Association (TAA) Most Promising New Textbook Award in the prior edition

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