
- ANALYTIC SOLVER PLATFORM FOR EDUCATION HOW TO
- ANALYTIC SOLVER PLATFORM FOR EDUCATION FULL
- ANALYTIC SOLVER PLATFORM FOR EDUCATION SOFTWARE
ANALYTIC SOLVER PLATFORM FOR EDUCATION FULL
The release continues, “Though brand-new in its first release, inherits both the power of Frontline’s full analytics product line, and ease of use from over 25 years’ experience supporting business analysts using these methods in practice.

ANALYTIC SOLVER PLATFORM FOR EDUCATION SOFTWARE
Integrated throughout the book, Frontline Systems’ Analytic Solver Platform for Education Excel add-in software provides a comprehensive basis to learn business analytics effectively, with real-world career value.Frontline is used at over 7,500 companies. Data Sets and Excel Models-these files are used in examples and problems and are available to students at /evans.Ĭomplete Software Support: While many different types of software packages are used in Business analytics applications in industry, this book uses Microsoft Excel 2013and Frontline Systems’ powerful Excel add-ins, Risk Solver Platform and XLMiner, which together provide extensive capabilities for business analytics.

Integrated Case-this case encourages students to think independently and apply the tools at a higher level of learning.End-of-Chapter Problems and Exercises-these problems and exercises help to reinforce the material covered through the chapter.Key terms and their definitions are contained in the Glossary at the end of the book. Key Terms- these words are bolded within the text and listed at the end of each chapter to assist students as they review the chapter and study for exams.Learning Objectives-this feature lists the goals students should be able to achieve after studying the chapter.Analytics in Practice-this feature describes real applications in business.Numbered Examples-these numerous, short examples appear throughout all chapters, illustrating key concepts and techniques.In-text features aid in student understanding: Chapter 18 focuses on philosophies, tools, and techniques of decision analysis. Chapters 13 through 17 explore linear, integer, and nonlinear optimization models and applications including optimization with uncertainty. Chapters 8 through 12 develop approaches for building and analyzing predictive models, applying regression and forecasting techniques, simulation and risk analysis, and an introduction to data mining. Chapters 3 through 7 focus on the fundamental tools and methods of data analysis and statistics, focusing on visual representations of data, descriptive statistical measures, probability distributions and data modeling, sampling and estimation, and statistical inference.
ANALYTIC SOLVER PLATFORM FOR EDUCATION HOW TO
The first two chapters provide the basic foundations needed to understand business analytics and Microsoft Excel, and show students how to manipulate data and develop simple spreadsheet models.

Ĭontent is organized into five parts to guide students through the information:
