LATEST DISCOUNTS & SALES: PROMOTIONS

Close Notification

Your cart does not contain any items

Business Analytics for Decision Making by Steven Orla Kimbrough at Abbey's Bookshop,
Business Analytics for Decision Making
— —
Steven Orla Kimbrough Hoong Chuin Lau (School of Information Systems, Singapore Management University, Singapore)

Business Analytics for Decision Making

Steven Orla Kimbrough,  Hoong Chuin Lau (School of Information Systems, Singapore Management University, Singapore)

$200

Hardback

Not in-store but you can order this
How long will it take?
English
Chapman & Hall/CRC
05 January 2016
Knowledge management; Business mathematics & systems
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.
By:   , , ,
Imprint:   Chapman & Hall/CRC
Country of Publication:   United States
Dimensions:   Height: 254mm,  Width: 178mm,  Spine: 23mm
Weight:   748g
ISBN:   9781482221763
ISBN 10:   1482221764
Pages:   308
Publication Date:  
Audience:   General/trade ,  College/higher education ,  Professional and scholarly ,  ELT Advanced ,  Primary
Format:   Hardback
Publisher's Status:   Active
Starters. Optimization Modeling. Metaheuristic Solution Methods. Post-Solution Analysis of Optimization Models. Conclusion.

Steven Orla Kimbrough, The Wharton School, University of Pennsylvania, Philadelphia, USA Hoong Chuin Lau, School of Information Systems, Singapore Management University, Singapore

See Also

Business Analytics for Decision Making

The Adventures of an IT Leader,...

Robert D. Austin

Hardback

$62.99 

Not in-store but you can order this

ADD +
Business Analytics for Decision Making

Secrets

Managing Information Assets in the...

James Pooley

Paperback

$40.95  $34.57

Not in-store but you can order this

ADD +
Business Analytics for Decision Making

Cyber Risk Management

Prioritize Threats, Identify Vulnerabilities...

Christopher J Hodson

Hardback

$348 

Not in-store but you can order this

ADD +
Business Analytics for Decision Making

Information Literacy in the Workplace...

Marc Forster

Paperback

$153 

Not in-store but you can order this

ADD +
Business Analytics for Decision Making

The CIO’s Guide to Risk

Jessica Keyes

Paperback

$90.99 

Not in-store but you can order this

ADD +
Business Analytics for Decision Making

Recordkeeping Cultures

Gillian Oliver

Paperback

$121 

Not in-store but you can order this

ADD +