An Introduction To Business Analytics

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An Introduction To Business Analytics
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Author : Ger Koole
language : en
Publisher: Lulu.com
Release Date : 2019
An Introduction To Business Analytics written by Ger Koole and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Computers categories.
Business Analytics (BA) is about turning data into decisions. This book covers the full range of BA topics, including statistics, machine learning and optimization, in a way that makes them accessible to a broader audience. Decision makers will gain enough insight into the subject to have meaningful discussions with machine learning specialists, and those starting out as data scientists will benefit from an overview of the field and take their first steps as business analytics specialist. Through this book and the various exercises included, you will be equipped with an understanding of BA, while learning R, a popular tool for statistics and machine learning.
Introduction To Business Analytics Second Edition
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Author : Majid Nabavi
language : en
Publisher: Business Expert Press
Release Date : 2020-12-14
Introduction To Business Analytics Second Edition written by Majid Nabavi and has been published by Business Expert Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-14 with Business & Economics categories.
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.
A Business Analyst S Introduction To Business Analytics
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Author : Adam Fleischhacker
language : en
Publisher:
Release Date : 2020-07-20
A Business Analyst S Introduction To Business Analytics written by Adam Fleischhacker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-20 with categories.
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.
Introduction To Business Analytics Using Simulation
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Author : Jonathan P. Pinder
language : en
Publisher: Academic Press
Release Date : 2022-03-15
Introduction To Business Analytics Using Simulation written by Jonathan P. Pinder and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-15 with Business & Economics categories.
Introduction to Business Analytics Using Simulation employs an innovative strategy to teach business analytics. It 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 the uncertainty and variability of business, this comprehensive book provides a better foundation for business analytics than standard introductory business analytics books. 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, newly organized by difficulty level Winner of the 2017 Textbook and Academic Authors Association (TAA) Most Promising New Textbook Award in the prior edition
Essentials Of Business Analytics
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Author : Bhimasankaram Pochiraju
language : en
Publisher:
Release Date : 2019
Essentials Of Business Analytics written by Bhimasankaram Pochiraju and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Big data categories.
This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken extreme care to ensure continuity across the chapters. The material is organized into three parts: A) Tools, B) Models and C) Applications. In Part A, the tools used by business analysts are described in detail. In Part B, these tools are applied to construct models used to solve business problems. Part C contains detailed applications in various functional areas of business and several case studies. Supporting material can be found in the appendices that develop the pre-requisites for the main text. Every chapter has a business orientation. Typically, each chapter begins with the description of business problems that are transformed into data questions; and methodology is developed to solve these questions. Data analysis is conducted using widely used software, the output and results are clearly explained at each stage of development. These are finally transformed into a business solution. The companion website provides examples, data sets and sample code for each chapter.
Practical Business Analytics Using Sas
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Author : Shailendra Kadre
language : en
Publisher: Apress
Release Date : 2015-02-07
Practical Business Analytics Using Sas written by Shailendra Kadre and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-07 with Computers categories.
Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations. The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book concludes with a chapter on analyzing big data. Illustrations from banking and other industries make the principles and methods come to life. Readers will find just enough theory to understand the practical examples and case studies, which cover all industries. Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes: More than 200 examples and exercises, including code and datasets for practice. Relevant examples for all industries. Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course. Practical Business Analytics Using SAS: A Hands-on Guide gives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before.
Introduction To Business Analysis
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Author : Fred Hulme
language : en
Publisher:
Release Date : 2020-07-06
Introduction To Business Analysis written by Fred Hulme and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-06 with categories.
The Value Of Business Analytics
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Author : Evan Stubbs
language : en
Publisher: John Wiley & Sons
Release Date : 2011-07-26
The Value Of Business Analytics written by Evan Stubbs and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-26 with Business & Economics categories.
TURN YOUR CHALLENGES INTO SUCCESSES – LEARN HOW AND WHY SOME TEAM STRUGGLE AND SOME SUCCEED This groundbreaking resource defines what business analytics is, the immense value it brings to an organization, and how to harness its power to gain a competitive edge in the marketplace. Author Evan Stubbs provides managers with the tools, knowledge, and strategies to get the organizational commitment you need to get business analytics up and running in your company. Drawing from numerous practical examples, The Value of Business Analytics provides an overview of how business analytics maps to organizational strategy and through examining the mistakes teams commonly make that prevent their success, author Evan Stubbs uncovers a four-step framework which helps improve the odds of success. Built on field-tested experience, The Value of Business Analytics explains the importance of and how to: Define the Value: Link analytics outcomes to business value, thereby helping build a sense of urgency and a need for change. Communicate the Value: Persuade the right people by understanding what motivates them. Deliver the Value: Link tactical outcomes to long-term strategic differentiation. Measure the Value: Validate wins and deliver continuous improvement to help drive ongoing transformation. Translating massive amounts of data into real insight is beyond magic—it’s competitive advantage distilled. Nothing else offers an equivalent level of agility, productivity improvement, or renewable value. Whether you’re looking to quantify the value of your work or generate organizational support, learn how to leverage advanced business analytics with the hands-on guidance found in The Value of Business Analytics. Drawing on the successes and failures of countless organizations, author Evan Stubbs provides a reference rich in content that spans everything from hiring the right people, understanding technical maturity, assessing culture, and structuring strategic planning. A must-read for any business analytics leader and an essential reference in shifting the perspective of business analytics away from algorithms towards outcomes. Learn how to increase the odds of successful value creation with The Value of Business Analytics.
Data Mining And Business Analytics With R
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Author : Johannes Ledolter
language : en
Publisher: John Wiley & Sons
Release Date : 2013-05-28
Data Mining And Business Analytics With R written by Johannes Ledolter and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-28 with Mathematics categories.
Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification. Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents: A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools Illustrations of how to use the outlined concepts in real-world situations Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials Numerous exercises to help readers with computing skills and deepen their understanding of the material Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences.
Business Analytics
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Author : Richard Vidgen
language : en
Publisher: Bloomsbury Publishing
Release Date : 2019-09-28
Business Analytics written by Richard Vidgen and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-28 with Business & Economics categories.
This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills. With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics. Accompanying online resources for this title can be found at bloomsburyonlineresources.com/business-analytics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.