Basic Business Analysis and Operations Research

Basic Business Analysis and Operations Research

Author: R H Mole

Publisher: Elsevier

Published: 2013-10-22

Total Pages: 149

ISBN-13: 1483105709

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BASIC Business Analysis and Operations Research discusses how the Beginners All-purpose Symbolic Instruction Code (BASIC) can be utilized in business analysis. The book is comprised of seven chapters that tackle various topics about BASIC and business analysis. Chapters 1 and 2 provide an overview of BASIC and Operations Research. Chapter 3 covers index numbers and provides an introduction to programming in structured BASIC. The book also presents programs for Data Fitting, and then describes how a simple program can be developed to include progressive complexity. The programs for a range of computational tasks are also presented. The book also tackles Markov chains in the context of policies for preventative maintenance. The text will be of great use to undergraduate students of management, computer, technology, and science.


The Applied Business Analytics Casebook

The Applied Business Analytics Casebook

Author: Matthew J. Drake

Publisher: Pearson Education

Published: 2014

Total Pages: 217

ISBN-13: 0133407365

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The first collection of cases on "big data" analytics for supply chain, operations research, and operations management, this reference puts readers in the position of the analytics professional and decision-maker. Perfect for students, practitioners, and certification candidates in SCM, OM, and OR, these short, focused, to-the-point case studies illustrate the entire decision-making process. They provide realistic opportunities to perform analyses, interpret output, and recommend an optimal course of action. Contributed by leading "big data" experts, the cases in The Applied Business Analytics Casebook covers: Forecasting and statistical analysis: time series forecasting models, regression models, data visualization, and hypothesis testing Optimization and simulation: linear, integer, and nonlinear programming; Monte Carlo simulation and risk analysis; and stochastic optimization Decision analysis: decision making under uncertainty; expected value of perfect information; decision trees; game theory models; AHP; and multi-criteria decision making Advanced business analytics: data warehousing/mining; text mining; neural networks; financial analytics; CRM analytics; and revenue management models


Business Analysis Using Regression

Business Analysis Using Regression

Author: Robert A. Stine

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 360

ISBN-13: 1461206839

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Preface Statistics is seldom the most eagerly anticipated course of a business student. It typically has the reputation ofbeing aboring, complicated, and confusing mix of mathematical formulas and computers. Our goal in writing this casebook and the companion volume (Basic Business Statistics) was to change that impression by showing how statistics gives insights and answers interesting business questions. Rather than dwell on underlying formulas, we show how to use statistics to answer questions. Each case study begins with a business question and concludes with an answer. Formulas appear only as needed to address the questions, and we focus on the insights into the problem provided by the mathematics. The mathematics serves a purpose. The material is organized into 12 "classes" of related case studies that develop a single, key idea of statistics. The analysis of data using statistics is seldom very straightforward, and each analysis has many nuances. Part ofthe appeal ofstatistics is this richness, this blending of substantive theories and mathematics. For a newcomer, however, this blend is too rich and they are easily overwhelmed and unable to sort out the important ideas from nuances. Although later cases in these notes suggest this complexity, we do not begin that way. Each class has one main idea, something big like standard error. We begin a class by discussing an application chosen to motivate this key concept, and introduce the necessary terminology.


BASIC BUSINESS ANALYTICS USING R

BASIC BUSINESS ANALYTICS USING R

Author: Dr. Mahavir M. Shetiya

Publisher: Thakur Publication Private Limited

Published: 2023-11-10

Total Pages: 207

ISBN-13: 9357551441

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Buy BASIC BUSINESS ANALYTICS USING R e-Book for Mba 2nd Semester in English language specially designed for SPPU ( Savitribai Phule Pune University ,Maharashtra) By Thakur publication.


How to Start a Business Analyst Career

How to Start a Business Analyst Career

Author: Laura Brandenburg

Publisher:

Published: 2015-01-02

Total Pages: 244

ISBN-13: 9780983861126

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You may be wondering if business analysis is the right career choice, debating if you have what it takes to be successful as a business analyst, or looking for tips to maximize your business analysis opportunities. With the average salary for a business analyst in the United States reaching above $90,000 per year, more talented, experienced professionals are pursuing business analysis careers than ever before. But the path is not clear cut. No degree will guarantee you will start in a business analyst role. What's more, few junior-level business analyst jobs exist. Yet every year professionals with experience in other occupations move directly into mid-level and even senior-level business analyst roles. My promise to you is that this book will help you find your best path forward into a business analyst career. More than that, you will know exactly what to do next to expand your business analysis opportunities.


Basic Heat Transfer

Basic Heat Transfer

Author: D. H. Bacon

Publisher: Elsevier

Published: 2013-10-22

Total Pages: 183

ISBN-13: 1483105539

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Basic Heat Transfer aims to help readers use a computer to solve heat transfer problems and to promote greater understanding by changing data values and observing the effects, which are necessary in design and optimization calculations. The book is concerned with applications including insulation and heating in buildings and pipes, temperature distributions in solids for steady state and transient conditions, the determination of surface heat transfer coefficients for convection in various situations, radiation heat transfer in grey body problems, the use of finned surfaces, and simple heat exchanger design calculations. The text also includes a review of the BASIC computing required and some mathematical programs to solve heat transfer problems. The book will be useful to mechanical engineers, students of engineering, and designers.


The PMI Guide to Business Analysis

The PMI Guide to Business Analysis

Author:

Publisher: Project Management Institute

Published: 2017-12-22

Total Pages: 509

ISBN-13: 1628254734

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The Standard for Business Analysis – First Edition is a new PMI foundational standard, developed as a basis for business analysis for portfolio, program, and project management. This standard illustrates how project management processes and business analysis processes are complementary activities, where the primary focus of project management processes is the project and the primary focus of business analysis processes is the product. This is a process-based standard, aligned with A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, and to be used as a standard framework contributing to the business analysis body of knowledge.


Business Analytics Principles, Concepts, and Applications with SAS

Business Analytics Principles, Concepts, and Applications with SAS

Author: Marc J. Schniederjans

Publisher: Pearson Education

Published: 2014-10-07

Total Pages: 353

ISBN-13: 0133989402

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Responding to a shortage of effective content for teaching business analytics, this text offers a complete, integrated package of knowledge for newcomers to the subject. The authors present an up-to-date view of what business analytics is, why it is so valuable, and most importantly, how it is used. They combine essential conceptual content with clear explanations of the tools, techniques, and methodologies actually used to implement modern business analytics initiatives. Business Analytics Principles, Concepts, and Applications with SAS offers a proven step-wise approach to designing an analytics program, and successfully integrating it into your organization, so it effectively provides intelligence for competitive advantage in decision making. Using step-by-step examples, the authors identify common challenges that can be addressed by business analytics, illustrate each type of analytics (descriptive, prescriptive, and predictive), and guide users in undertaking their own projects. Illustrating the real-world use of statistical, information systems, and management science methodologies, these examples help readers successfully apply the methods they are learning. Unlike most competitive guides, Business Analytics Principles, Concepts, and Applications with SAS demonstrates the use of SAS software, permitting instructors to spend less time teaching software and more time focusing on business analytics itself.


Handbook of Quantitative Supply Chain Analysis

Handbook of Quantitative Supply Chain Analysis

Author: David Simchi-Levi

Publisher: Taylor & Francis

Published: 2004-05-31

Total Pages: 840

ISBN-13: 9781402079528

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The Handbook is a comprehensive research reference that is essential for anyone interested in conducting research in supply chain. Unique features include: -A focus on the intersection of quantitative supply chain analysis and E-Business, -Unlike other edited volumes in the supply chain area, this is a handbook rather than a collection of research papers. Each chapter was written by one or more leading researchers in the area. These authors were invited on the basis of their scholarly expertise and unique insights in a particular sub-area, -As much attention is given to looking back as to looking forward. Most chapters discuss at length future research needs and research directions from both theoretical and practical perspectives, -Most chapters describe in detail the quantitative models used for analysis and the theoretical underpinnings; many examples and case studies are provided to demonstrate how the models and the theoretical insights are relevant to real situations, -Coverage of most state-of-the-art business practices in supply chain management.


Introduction to Business Analytics Using Simulation

Introduction to Business Analytics Using Simulation

Author: Jonathan P. Pinder

Publisher: Academic Press

Published: 2022-02-06

Total Pages: 513

ISBN-13: 0323991173

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Introduction to Business Analytics Using Simulation, Second Edition employs an innovative strategy to teach business analytics. The book uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on uncertainty and variability, this book provides a comprehensive foundation for business analytics. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. - Teaches managers how they can use business analytics to formulate and solve business problems to enhance managerial decision-making - Explains the processes needed to develop, report and analyze business data - Describes how to use and apply business analytics software - Offers expanded coverage on the value and application of prescriptive analytics - Includes a wealth of illustrative exercises that are newly organized by difficulty level - Winner of the 2017 Textbook and Academic Authors Association's (TAA) Most Promising New Textbook Award in the prior edition