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Applied Statistics for Business and Management using Microsoft Excel
Applied Business Statistics for Business and Management using Microsoft Excel is the first book to illustrate the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computation...
Conducting Survey Research
Creating a powerful and impactful survey is no easy feat; even experienced survey researchers struggle to eliminate bias and create robust questionnaire designs. Through case studies, real-life examples, and multiple data visualization graphics, Conducting Survey Research offers a unique how to guide on creating a survey. Throughout its seven chapters, the text enables readers to build relevant, unbiased, and purposeful survey questions. The text highlights common mistakes in survey research (e.g., using the appropriate sample size and survey administration mode), and demonstrates how to interpret survey data and report findings. While numerous online survey platforms exist, the text reviews features of some of the most popular ones to help readers decide which best meet their needs. The world of survey research is extensive. While this text offers a great introduction to the survey research world, it only covers the tip of the iceberg. For those interested in delving deeper into the topic, JAF Associates offers onsite, on-demand, instructor-led, and self-paced learning modules covering the content of this text, and more.
Analytics Boot Camp
The focus of this book is on providing clear word descriptions and step-by-step Excel instructions, rather than including lots of x’s and y’s everywhere. This book was written for managers and students who may need a quick refresher on how to complete Excel analysis without having to read pages of technical explanations. The authors aimed at concisely defining the key concepts and providing simple descriptions and explanations on how to use them.
Federal Supplement
None
Proceedings
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New World Technologies
In today’s high-pressured world, digital transformation is everywhere on the agendas of corporate boards and has risen to the top of CEOs’ strategic plans. Artificial intelligence, blockchain, 3D printing, the Internet of Things, and drones are some of the emerging technologies that are already transforming our world. In this fast changing domain— predicted by few and now reality for all how can companies transform today’s challenges into tomorrow’s opportunities? This book is targeted to help a broad audience such as students, professionals, business, and technology managers to transform an old-world brick and mortar organization to a new-world digital leader. The author addresses various questions including: what essential components does digital transformation include, and how does it impact the enterprise? How does convergence of emerging technologies benefit your organization? How can you start transformation and technology planning projects?
Business Analytics, Volume I
Business Analytics: A Data-Driven Decision Making Approach for Business-Part I,/i> provides an overview of business analytics (BA), business intelligence (BI), and the role and importance of these in the modern business decision-making. The book discusses all these areas along with three main analytics categories: (1) descriptive, (2) predictive, and (3) prescriptive analytics with their tools and applications in business. This volume focuses on descriptive analytics that involves the use of descriptive and visual or graphical methods, numerical methods, as well as data analysis tools, big data applications, and the use of data dashboards to understand business performance. The highlights of this volume are: Business analytics at a glance; Business intelligence (BI), data analytics; Data, data types, descriptive analytics; Data visualization tools; Data visualization with big data; Descriptive analytics-numerical methods; Case analysis with computer applications.
Introduction to Business Analytics
This book presents key concepts related to quantitative analysis in business. Business analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative skills and understanding of fundamental concepts. This book is aimed at business students, undergraduate and graduate, taking an introductory core course. Topics covered include knowledge management, visualization, sampling and hypothesis testing, regression (simple, multiple, and logistic), as well as optimization modeling. It concludes with a brief overview of data mining. Concepts are demonstrated with worked examples.
World Wide Data
The world is currently in the midst of a data revolution. Consumers now inhabit a digital world and companies have no option but to follow them there. Governments are reviewing the rules of usage for consumer data in marketing and advertising in order to take advantage of the huge economic opportunity that the data driven economy represents. Companies, recognizing the opportunity, are hurrying to adapt by digitalizing their processes. They are putting pressure on their managers and working teams to learn how to make best use of the technology capabilities and their data resources. What is more, premier national companies have to compete in a global business field where their Silicon Valley-breed competitors have a substantial advantage in terms of digitalization and data usage. Written in plain English with illustrative examples and cases, this book is for the general manager who seeks a better grasp of this fast-changing business world and a better understanding of what will be required from he/she, not just now but in five years’ time.
