Essentials of Business Analytics

Essentials of Business Analytics

Author: Bhimasankaram Pochiraju

Publisher: Springer

Published: 2019-07-10

Total Pages: 971

ISBN-13: 3319688375

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This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken extreme care to ensure continuity across the chapters. The material is organized into three parts: A) Tools, B) Models and C) Applications. In Part A, the tools used by business analysts are described in detail. In Part B, these tools are applied to construct models used to solve business problems. Part C contains detailed applications in various functional areas of business and several case studies. Supporting material can be found in the appendices that develop the pre-requisites for the main text. Every chapter has a business orientation. Typically, each chapter begins with the description of business problems that are transformed into data questions; and methodology is developed to solve these questions. Data analysis is conducted using widely used software, the output and results are clearly explained at each stage of development. These are finally transformed into a business solution. The companion website provides examples, data sets and sample code for each chapter.


Essentials of Management and Leadership in Public Health

Essentials of Management and Leadership in Public Health

Author: Robert Burke

Publisher: Jones & Bartlett Learning

Published: 2011-01-28

Total Pages: 194

ISBN-13: 0763742910

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This book covers the full spectrum of essential competencies required to manage public health organizations, from communication and cultural proficieny to leadership, relationship building, ethics, and program planning. --Book Jacket.


Management Science Modeling

Management Science Modeling

Author: S. Christian Albright

Publisher:

Published: 2012

Total Pages: 917

ISBN-13: 9781111532451

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Easy to understand and to the point, MANAGEMENT SCIENCE MODELING, 4th Edition, International Edition uses an active-learning approach and realistic problems to help you understand and take advantage of the power of spreadsheet modeling. With real examples and problems drawn from finance, marketing, and operations research, you will easily come to see how management science applies to your chosen profession and how you can use it on the job. The authors emphasize modeling over algebraic formulations and memorization of particular models. The essentials resource website, whose access is available with every new book, includes links to the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); and SolverTable, which allows you to do sensitivity analysis. All of these add-ins have been revised for Excel 2010.


Management Science, Logistics, and Operations Research

Management Science, Logistics, and Operations Research

Author: Wang, John

Publisher: IGI Global

Published: 2013-09-30

Total Pages: 481

ISBN-13: 1466645075

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"This book examines related research in decision, management, and other behavioral sciences in order to exchange and collaborate on information among business, industry, and government, providing innovative theories and practices in operations research"--Provided by publisher.


Introduction to Management Science with Spreadsheets

Introduction to Management Science with Spreadsheets

Author: William J. Stevenson

Publisher: Irwin/McGraw-Hill

Published: 2007

Total Pages: 0

ISBN-13: 9780073252902

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This text combines the market leading writing and presentation skills of Bill Stevenson with integrated, thorough, Excel modeling from Ceyhun Ozgur. Professor Ozgur teaches Management Science, Operations, and Statistics using Excel, at the undergrad and MBA levels at Valparaiso University --and Ozgur developed and tested all examples, problems and cases with his students. The authors have written this text for students who have no significant mathematics training and only the most elementary experience with Excel.