Introduction To Business Analysis

This book looks at the role of the Business Analyst and offers analysis tools for problem identification, identifying improvement priorities, decision making, problem solving, and process improvement.

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

This up-to-date business analytics textbook (published in July 2020) will get you harnessing the power of the R programming language to: manipulate and model data, discover and communicate insight, to visually communicate that insight, and successfully advocate for change within an organization. Book Description A frequent teaching-award winning professor with an analytics-industry background shares his hands-on guide to learning business analytics. It is the first textbook addressing a complete and modern business analytics workflow that includes data manipulation, data visualization, modelling business problems with graphical models, translating graphical models into code, and presenting insights back to stakeholders. Book Highlights Content that is accessible to anyone, even most analytics beginners. If you have taken a stats course, you are good to go. Assumes no knowledge of the R programming language. Provides introduction to R, RStudio, and the Tidyverse. Provides a solid foundation and an implementable workflow for anyone wading into the Bayesian inference waters. Provides a complete workflow within the R-ecosystem; there is no need to learn several programming languages or work through clunky interfaces between software tools. First book introducing two powerful R-packages - `causact` for visual modelling of business problems and `greta` which is an R interface to `TensorFlow` used for Bayesian inference. Uses the intuitive coding practices of the `tidyverse` including using `dplyr` for data manipulation and `ggplot2` for data visualization. Datasets that are freely and easily accessible. Code for generating all results and almost every visualization used in the textbook. Do not learn statistical computation or fancy math in a vacuum, learn it through this guide within the context of solving business problems.

This book frames business analysis in the context of digital technologies. It introduces modern business analysis techniques, including a selection of those in the Business Analysis Body of Knowledge (BABOK) by the International Institute of Business Analysis (IIBA), and exemplifies them by means of digital technologies applied to solve problems or exploit new business opportunities. It also includes in-depth case studies in which business problems and opportunities, drawn from real-world scenarios, are mapped to digital solutions. The work is summarized in seven guiding principles that should be followed by every business analyst. This book is intended mainly for students in business informatics and related areas, and for professionals who want to acquire a solid background for their daily work. It is suitable both for courses and for self-study. Additional teaching materials such as lecture videos, slides, question bank, exams, and seminar materials are accessible on the companion web-page.

This casebook supplies approximately six full-sized cases based on real world applications, appropriate for all professionals who work with financial statement analysis. The text thoroughly discusses a series of analysis techniques, such as business strategy analysis, accounting analysis, financial analysis, and prospective analysis.

This book presents key concepts related to quantitative analysis in business. It is targeted at business students (both undergraduate and graduate) taking an introductory core course. 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 second edition adds material on Tableau, a very useful software for business analytics. This supplements the tools from Excel covered in the first edition, to include Data Analysis Toolpak and SOLVER.

BOOK DESCRIPTIONHave you recently taken on the role of Business Analyst, but have no clue where to start? Were you thrown into a project and given very little direction? How stressful! The entire project team is depending on you to deliver a critical requirements document that is the foundation for the entire project. But the problem is, you have no little to no training, very little direction, and and a very clear time-line of ASAP. What do you do? I've been in this situation, and it is no fun. In the early years of my career when I was a Business Analyst, I had to fumble my way through many projects to learn the tools that I needed to be an effective BA. And then as a manager, I saw many new employees struggle because they weren't properly equipped for the role. But I didn't have the time or budget to send any of them to training. That's when I developed a simple three step process that I taught every new Business Analyst that joined my team. This process allowed me to train all new Business Analysts in ONE DAY, and get them effectively gathering requirements IMMEDIATELY. The feedback that I received was astounding. The employees were more confident in their role, and the stakeholders were very impressed at the skill of the new Business Analysts. But most importantly, they were able to produce and be effective right away. You don't have to struggle any longer. This book will give you the tools and techniques you need to go from Newbie to Pro in one day. You will Learn * The role of the Business Analyst on a project * Systems Analysis and Design techniques * Requirements gathering techniques * Requirements Analysis techniques * How to develop use cases * How to develop a Business Requirements DocumentAs a result: * You will have more confidence in your skills * You will gain credibility with the project team because you will be equipped with the knowledge you need to be an effective team member * You will be able to easily identify who you need to work with to gather requirements * You will be able to deliver a set of requirements that exceeds the expectations of every member of the project teamjf;lsf;lsdjThis book will pay for itself by giving you the confidence needed to take on any software project immediately. What can I say? You NEED this book!Let's get started! Buy Requirements Gathering for the New Business Analyst today to get started on your project now!