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Business Analytics for Decision Making

| £83.28 | €93.66 | Ca$135.11 | Au$133.34
by Steven Orla Kimbrough & Hoong Chuin Lau
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Business Analytics for Decision Making by Steven Orla Kimbrough & Hoong Chuin Lau

Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level. This timely text is mainly about model analytics, particularly analytics for constrained optimization. It uses implementations that allow students to explore models and data for the sake of discovery, understanding, and decision making.

Business analytics is about using data and models to solve various kinds of decision problems. There are three aspects for those who want to make the most of their analytics: encoding, solution design, and post-solution analysis. This textbook addresses all three. Emphasizing the use of constrained optimization models for decision making, the book concentrates on post-solution analysis of models.

The text focuses on computationally challenging problems that commonly arise in business environments. Unique among business analytics texts, it emphasizes using heuristics for solving difficult optimization problems important in business practice by making best use of methods from Computer Science and Operations Research. Furthermore, case studies and examples illustrate the real-world applications of these methods.

The authors supply examples in Excel?, GAMS, MATLAB?, and OPL. The metaheuristics code is also made available at the book's website in a documented library of Python modules, along with data and material for homework exercises. From the beginning, the authors emphasize analytics and de-emphasize representation and encoding so students will have plenty to sink their teeth into regardless of their computer programming experience.To view this DRM protected ebook on your desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software. We also strongly recommend that you sign up for an AdobeID at the Adobe website. For more details please see FAQ 1&2. To view this ebook on an iPhone, iPad or Android mobile device you will need the Adobe Digital Editions app, or BlueFire Reader or Txtr app. These are free, too. For more details see this article.

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Ebook Details
Pages: 308
Size: 10.3 MB
Publisher: CRC Press
Date published:   2016
ISBN: 9781482221770 (DRM-PDF)

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This product is listed in the following categories:

Nonfiction > Business & Economics > Management Science
Nonfiction > Computers > Database Management > Database Mining
Nonfiction > Business & Economics > Operations Research

These authors have products in the following categories:

Nonfiction > Mathematics
Nonfiction > Business & Economics > Operations Research
Nonfiction > Mathematics > Combinatorics
Nonfiction > Business & Economics > Management Science
Nonfiction > Computers > Database Management > Database Mining

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