Download or read book Business Case Analysis with R written by Robert D. Brown III and published by Apress. This book was released on 2018-03-01 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This tutorial teaches you how to use the statistical programming language R to develop a business case simulation and analysis. It presents a methodology for conducting business case analysis that minimizes decision delay by focusing stakeholders on what matters most and suggests pathways for minimizing the risk in strategic and capital allocation decisions. Business case analysis, often conducted in spreadsheets, exposes decision makers to additional risks that arise just from the use of the spreadsheet environment. R has become one of the most widely used tools for reproducible quantitative analysis, and analysts fluent in this language are in high demand. The R language, traditionally used for statistical analysis, provides a more explicit, flexible, and extensible environment than spreadsheets for conducting business case analysis. The main tutorial follows the case in which a chemical manufacturing company considers constructing a chemical reactor and production facility to bring a new compound to market. There are numerous uncertainties and risks involved, including the possibility that a competitor brings a similar product online. The company must determine the value of making the decision to move forward and where they might prioritize their attention to make a more informed and robust decision. While the example used is a chemical company, the analysis structure it presents can be applied to just about any business decision, from IT projects to new product development to commercial real estate. The supporting tutorials include the perspective of the founder of a professional service firm who wants to grow his business and a member of a strategic planning group in a biomedical device company who wants to know how much to budget in order to refine the quality of information about critical uncertainties that might affect the value of a chosen product development pathway. What You’ll Learn Set up a business case abstraction in an influence diagram to communicate the essence of the problem to other stakeholders Model the inherent uncertainties in the problem with Monte Carlo simulation using the R language Communicate the results graphically Draw appropriate insights from the results Develop creative decision strategies for thorough opportunity cost analysis Calculate the value of information on critical uncertainties between competing decision strategies to set the budget for deeper data analysis Construct appropriate information to satisfy the parameters for the Monte Carlo simulation when little or no empirical data are available Who This Book Is For Financial analysts, data practitioners, and risk/business professionals; also appropriate for graduate level finance, business, or data science students

Download or read book Applied Analytics through Case Studies Using SAS and R written by Deepti Gupta and published by Apress. This book was released on 2018-08-03 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data. The most challenging part of solving industrial business problems is the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms. Applied Analytics through Case Studies Using SAS and R is your answer to solving these business problems by sharpening your analytical skills. What You'll Learn Understand analytics and basic data concepts Use an analytical approach to solve Industrial business problems Build predictive model with machine learning techniques Create and apply analytical strategies Who This Book Is For Data scientists, developers, statisticians, engineers, and research students with a great theoretical understanding of data and statistics who would like to enhance their skills by getting practical exposure in data modeling.

Download or read book Data Analysis for Business Economics and Policy written by Gábor Békés and published by Cambridge University Press. This book was released on 2021-05-06 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.

Download or read book Case Study Research for Business written by Jillian Dawes Farquhar and published by SAGE. This book was released on 2012-02-21 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: The only case study research textbook written exclusively for students of Business and related disciplines. Using a step-by-step approach, Case Study Research for Business takes you right through the case study research process from research design and data collection using qualitative and quantitative methods, to research analysis, writing up and presenting your work. Key features: - Takes a multidisciplinary approach to case study research design by drawing on research philosophies to improve student understanding of these critical research traditions and hence provide firmer theoretical foundations for their research - Coverage of contemporary topics such as research ethics and access - Packed with practical examples from all areas of business - Pedagogical features include vignettes, exercises and ′cases′ which directly relate to business research Case Study Research for Business will prove a valuable resource for undergraduate, postgraduate and research students of business and related disciplines.

Download or read book Introduction to R for Business Intelligence written by Jay Gendron and published by Packt Publishing Ltd. This book was released on 2016-08-26 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to leverage the power of R for Business Intelligence About This Book Use this easy-to-follow guide to leverage the power of R analytics and make your business data more insightful. This highly practical guide teaches you how to develop dashboards that help you make informed decisions using R. Learn the A to Z of working with data for Business Intelligence with the help of this comprehensive guide. Who This Book Is For This book is for data analysts, business analysts, data science professionals or anyone who wants to learn analytic approaches to business problems. Basic familiarity with R is expected. What You Will Learn Extract, clean, and transform data Validate the quality of the data and variables in datasets Learn exploratory data analysis Build regression models Implement popular data-mining algorithms Visualize results using popular graphs Publish the results as a dashboard through Interactive Web Application frameworks In Detail Explore the world of Business Intelligence through the eyes of an analyst working in a successful and growing company. Learn R through use cases supporting different functions within that company. This book provides data-driven and analytically focused approaches to help you answer questions in operations, marketing, and finance. In Part 1, you will learn about extracting data from different sources, cleaning that data, and exploring its structure. In Part 2, you will explore predictive models and cluster analysis for Business Intelligence and analyze financial times series. Finally, in Part 3, you will learn to communicate results with sharp visualizations and interactive, web-based dashboards. After completing the use cases, you will be able to work with business data in the R programming environment and realize how data science helps make informed decisions and develops business strategy. Along the way, you will find helpful tips about R and Business Intelligence. Style and approach This book will take a step-by-step approach and instruct you in how you can achieve Business Intelligence from scratch using R. We will start with extracting data and then move towards exploring, analyzing, and visualizing it. Eventually, you will learn how to create insightful dashboards that help you make informed decisions—and all of this with the help of real-life examples.

Download or read book Multiple Case Study Analysis written by Robert E. Stake and published by Guilford Press. This book was released on 2013-04-29 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examining situational complexity is a vital part of social and behavioral science research. This engaging text provides an effective process for studying multiple cases--such as sets of teachers, staff development sessions, or clinics operating in different locations--within one complex program. The process also can be used to investigate broadly occurring phenomena without programmatic links, such as leadership or sibling rivalry. Readers learn to design, analyze, and report studies that balance common issues across the group of cases with the unique features and context of each case. Three actual case reports from a transnational early childhood program illustrate the author's approach, and helpful reproducible worksheets facilitate multicase recording and analysis.

Download or read book HBR Guide to Building Your Business Case written by Raymond Sheen and published by Harvard Business Press. This book was released on 2015 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: "You've got a great idea that will increase revenue or productivity--but how do you get approval to make it happen? By building a business case that clearly shows its value. Maybe you struggle to win support for projects because you're not sure what kind of data your stakeholders will trust, or naysayers always seem to shoot your ideas down at the last minute. Or perhaps you're intimidated by analysis and number crunching, so you just take a stab at estimating costs and benefits, with little confidence in your accuracy. To get any idea off the ground at your company you'll have to make a strong case for it. This guide gives you the tools to do that"--

Download or read book An Introduction to Analysis of Financial Data with R written by Ruey S. Tsay and published by John Wiley & Sons. This book was released on 2014-08-21 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-world empirical research. The author supplies a hands-on introduction to the analysis of financial data using the freely available R software package and case studies to illustrate actual implementations of the discussed methods. The book begins with the basics of financial data, discussing their summary statistics and related visualization methods. Subsequent chapters explore basic time series analysis and simple econometric models for business, finance, and economics as well as related topics including: Linear time series analysis, with coverage of exponential smoothing for forecasting and methods for model comparison Different approaches to calculating asset volatility and various volatility models High-frequency financial data and simple models for price changes, trading intensity, and realized volatility Quantitative methods for risk management, including value at risk and conditional value at risk Econometric and statistical methods for risk assessment based on extreme value theory and quantile regression Throughout the book, the visual nature of the topic is showcased through graphical representations in R, and two detailed case studies demonstrate the relevance of statistics in finance. A related website features additional data sets and R scripts so readers can create their own simulations and test their comprehension of the presented techniques. An Introduction to Analysis of Financial Data with R is an excellent book for introductory courses on time series and business statistics at the upper-undergraduate and graduate level. The book is also an excellent resource for researchers and practitioners in the fields of business, finance, and economics who would like to enhance their understanding of financial data and today's financial markets.

Download or read book Strategic Business Case Analysis written by Christopher Williams and published by Taylor & Francis. This book was released on 2023-12-07 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides students with the skills and techniques necessary to analyse business case studies from a strategic perspective. With career development and impact in mind, the book goes beyond simply listing tools, instead teaching students how to prepare for a major strategic business case analysis project, how to position their analysis on a spectrum from reductionist to holistic approaches, how to critically engage with theory and case data, as well as how to leverage their work after completion. A logical approach is offered, taking the reader through the analysis journey, from preparing to analyse a case study to conducting the analysis and maximising the impact going forwards. A comprehensive analysis task is incorporated, which asks the reader to reflect on a range of case data, understand the choices of analytical positioning and tool selection, and develop an analysis based on this positioning. Further pedagogical features include: Reflective practice exercises at the end of chapters, allowing the student to self-identify areas of strength and weakness as they develop through the process. Worked examples based on cases reproduced in the book, allowing the student to follow the analytical process that the author went through in different analysis modes. Quotes and analysis insights from former students who have previously conducted a strategic business case analysis, aiding reflective practice. As case study analysis continues as a core component of teaching across business schools, this unique text will help to build key skills in advanced undergraduate, postgraduate, MBA, and executive education students conducting strategic business case analysis. Support material includes PowerPoint slides as well as video content.

Download or read book Business Analysis For Dummies written by Kupe Kupersmith and published by John Wiley & Sons. This book was released on 2013-07-01 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your go-to guide on business analysis Business analysis refers to the set of tasks and activities that help companies determine their objectives for meeting certain opportunities or addressing challenges and then help them define solutions to meet those objectives. Those engaged in business analysis are charged with identifying the activities that enable the company to define the business problem or opportunity, define what the solutions looks like, and define how it should behave in the end. As a BA, you lay out the plans for the process ahead. Business Analysis For Dummies is the go to reference on how to make the complex topic of business analysis easy to understand. Whether you are new or have experience with business analysis, this book gives you the tools, techniques, tips and tricks to set your project’s expectations and on the path to success. Offers guidance on how to make an impact in your organization by performing business analysis Shows you the tools and techniques to be an effective business analysis professional Provides a number of examples on how to perform business analysis regardless of your role If you're interested in learning about the tools and techniques used by successful business analysis professionals, Business Analysis For Dummies has you covered.

Download or read book Applying Data Science written by Gerhard Svolba and published by SAS Institute. This book was released on 2017-03-29 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: See how data science can answer the questions your business faces! Applying Data Science: Business Case Studies Using SAS, by Gerhard Svolba, shows you the benefits of analytics, how to gain more insight into your data, and how to make better decisions. In eight entertaining and real-world case studies, Svolba combines data science and advanced analytics with business questions, illustrating them with data and SAS code. The case studies range from a variety of fields, including performing headcount survival analysis for employee retention, forecasting the demand for new projects, using Monte Carlo simulation to understand outcome distribution, among other topics. The data science methods covered include Kaplan-Meier estimates, Cox Proportional Hazard Regression, ARIMA models, Poisson regression, imputation of missing values, variable clustering, and much more! Written for business analysts, statisticians, data miners, data scientists, and SAS programmers, Applying Data Science bridges the gap between high-level, business-focused books that skimp on the details and technical books that only show SAS code with no business context.

Download or read book Business Modeling and Software Design written by Boris Shishkov and published by Springer. This book was released on 2014-05-09 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the extended and revised versions of selected papers from the Third International Symposium on Business Modeling and Software Design (BMSD 2013), held in Noordwijkerhout, The Netherlands, during July 8-10, 2013. The symposium was organized and sponsored by the Interdisciplinary Institute for Collaboration and Research on Enterprise Systems and Technology (IICREST), in cooperation with the Dutch Research School for Information and Knowledge Systems (SIKS), the Center for Telematics and Information Technology (CTIT), Aristotle University of Thessaloniki (AUTH), and AMAKOTA Ltd. The theme of BMSD 2013 was "Enterprise Engineering and Software Generation." The 13 full and 20 short papers presented at BMSD 2013 were selected from 56 submissions. The eight papers published in this book were carefully reviewed and selected from the 13 full papers. The selection includes papers touching upon a large number of research topics, ranging from more conceptual ones, such as modeling landscapes, process modeling, declarative business rules, and normalized systems to more practical ones, such as business-case development and performance indicators, and from more business-related topics, such as value modeling and service systems, to topics related to information architectures.

Download or read book Rethinking the Case Study in International Business and Management Research written by Rebecca Marschan-Piekkari and published by Edward Elgar Publishing. This book was released on 2011-01-01 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important and original book places the case study in international business research in its historical context, critically evaluates current case study practices in the field and proposes a more pluralistic future for case research within international business and international management research. While the case study is the most popular qualitative research strategy in the field, only a narrow selection of possible approaches is currently used. IB and IM researchers typically rely on a case study approach that could be characterized as 'qualitative positivism'. The editors and contributors look beyond this disciplinary convention and encourage greater pluralism in IB and IM case research. Their key argument is that increased awareness of prevailing disciplinary conventions - and their limitations - increases the potential for methodological innovation and versatility in case research. The contributions provide critical, novel and innovative perspectives on the case study in IB and IM research. The book offers inspiration to case authors and an authoritative methodological reference for those publishing and reviewing case research. It will also be highly regarded by postgraduate and doctoral students in IB and IM as well as both qualitative and quantitative researchers in the field.

Download or read book The Case Study Companion written by Scott Andrews and published by Routledge. This book was released on 2021-05-25 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Case Study method of teaching and learning, adopted by business schools and management centres globally, provides an important function in management education, but employing it effectively can often be a challenge. This book provides practical insights, tools and approaches for both case teaching and writing, drawing on perspectives from expert practitioners around the world. This book aims to critically examine different approaches to using case studies in group-based, participant-centred learning environments, exploring good practices for case teaching and learning. It provides guidance for case writers on various approaches to structuring case data, presentational formats, and the use of technology in the construction of different types of cases. It also demonstrates the use of the case method as a tool for assessment, supporting students’ own development of cases to showcase good practice in organisations. The final section of this book showcases some of the resources available, providing links and reviews of additional material that can support future case teaching and writing practice, including publication. The Case Study Companion is designed for lecturers using cases within their teaching across all management disciplines, as well as those training for Professional Development and Management Education qualifications. It will also be useful for postgraduate, MBA and Executive Education students wanting to make the most of case studies in their learning and assessments.

Download or read book Statistical Analysis and Data Display written by Richard M. Heiberger and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 739 pages. Available in PDF, EPUB and Kindle. Book excerpt: This presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data—showing code, graphics, and accompanying computer listings. They emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how tabular results are used to confirm the visual impressions derived from the graphs. Many of the graphical formats are novel and appear here for the first time in print.

Download or read book R for Marketing Research and Analytics written by Chris Chapman and published by Springer. This book was released on 2015-03-09 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis. Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis. With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications.

Download or read book Business Analytics Using R A Practical Approach written by Umesh R Hodeghatta and published by Apress. This book was released on 2016-12-27 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the context in which a particular technique does not make sense. Further, Practical Business Analytics using R helps you understand specific issues faced by organizations and how the solutions to these issues can be facilitated by business analytics. This book will discuss and explore the following through examples and case studies: An introduction to R: data management and R functions The architecture, framework, and life cycle of a business analytics project Descriptive analytics using R: descriptive statistics and data cleaning Data mining: classification, association rules, and clustering Predictive analytics: simple regression, multiple regression, and logistic regression This book includes case studies on important business analytic techniques, such as classification, association, clustering, and regression. The R language is the statistical tool used to demonstrate the concepts throughout the book. What You Will Learn • Write R programs to handle data • Build analytical models and draw useful inferences from them • Discover the basic concepts of data mining and machine learning • Carry out predictive modeling • Define a business issue as an analytical problem Who This Book Is For Beginners who want to understand and learn the fundamentals of analytics using R. Students, managers, executives, strategy and planning professionals, software professionals, and BI/DW professionals.