PublishedPtg Software, November 2014 |
ISBN9780133760354 |
FormatSoftcover, 400 pages |
Dimensions23.6cm × 16.2cm × 2.7cm |
This book is designed to help students and practitioners use business analytics to improve decision-making systems. It sets itself apart from the competition by emphasizing the application of practical management science techniques in business analytics, rather than the theoretical.
Drawing on 20+ years of teaching and consulting experience, Dr. Arben Asllani introduces decision analytics through realistic examples and intuitive explanations - not complex formulae and theoretical definitions. Throughout, Asllani helps practitioners focus more on the crucial input-output aspects of decision making - and less upon internal model complexities that can usually be "delegated" to software. Each chapter:
Begins with a success story showing how its concepts can improve enterprise decision-making
Introduces a decision model with intuitive explanations, clear assumptions, and realistic application examples
Presents data input requirements, input variables, data gathering challenges, and practical solutions - including recommendations for handling missing data
Shows how to carefully formulate rigorous models
Guides readers in moving from known to unknown, simple to complex, and example to generalization
Helps readers understand and analyze model output, and use it to generate practical business recommendations
Presents reporting and visualization techniques
Offers tips for choosing between "optimal-but-complex" and "practical, simpler" solutions
Deepens understanding through hands-on practice problems and exercises, and discussion questions
In-depth coverage includes:
Business analytics with optimization models
Linear programming
Non-linear programming
Integer programming
Goal programming
Transportation modeling
RFM optimization models
Simulation, and more
Throughout, Excel templates, algorithms, and user-friendly interfaces are included to make Big Data decision models easier to implement.
