Demystifying Business Data Visualization
Download Demystifying Business Data Visualization PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Demystifying Business Data Visualization book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
DEMYSTIFYING BUSINESS DATA VISUALIZATION
Author: Dr. M. Ramasubramaniam & Mr. Daniel Peter
language: en
Publisher: Clever Fox Publishing
Release Date:
In "Demystifying Business Data Visualization: Practical Insights into What and How of Approaching Visualization Projects," you will discover a comprehensive guide designed to elevate your skills in the fast-evolving field of business data visualization. This book bridges the gap between the art and science of data visualization, providing you with both theoretical insights and practical tools to create impactful visual representations of data. You will learn how to effectively communicate complex information through data visualization techniques that not only convey your message clearly but also captivate your audience. The book guides you through essential principles of visual perception in data, the psychology behind it, and the critical process of choosing the right data visualization tools. Additionally, with a series of well-crafted exercises and real-world data visualization case studies, you will have the opportunity to practice and apply your knowledge, enabling you to implement data visualization projects with confidence and precision. As you explore step-by-step approaches to business scoping, data preparation, and visualizing complex data, you will also delve into the growing trend of self-service data visualization. This empowers you to independently create dynamic data dashboards and analytics, making you less reliant on technical support. Whether you are a student, data professional, or business analyst, this book will equip you with the knowledge and hands-on experience to master the art and science of data visualization. Backend Amazon Keywords: * Business Data Visualization * Data Visualization Techniques * Visual Data Representation * Data Visualization Guide * Effective Data Communication * Self-Service Data Visualization * Data Visualization Projects * Visual Perception in Data * Data Visualization Tools * Creating Data Dashboards * Real-World Data Visualization * Practical Data Visualization * Visualizing Complex Data * Data Analysis and Visualization * Data Visualization for Business * Business Analytics Visualization * Visual Storytelling with Data * Mastering Data Visualization * Art and Science of Data Visualization * Data Visualization Case Studies
R for Business Analytics
Author: A Ohri
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-09-14
R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select the packages that can help process the analytical tasks with minimum effort and maximum usefulness. The use of Graphical User Interfaces (GUI) is emphasized in this book to further cut down and bend the famous learning curve in learning R. This book is aimed to help you kick-start with analytics including chapters on data visualization, code examples on web analytics and social media analytics, clustering, regression models, text mining, data mining models and forecasting. The book tries to expose the reader to a breadth of business analytics topics without burying the user in needless depth. The included references and links allow the reader to pursue business analytics topics. This book is aimed at business analysts with basic programming skills for using R for Business Analytics. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. Business analytics (BA) refers to the field of exploration and investigation of data generated by businesses. Business Intelligence (BI) is the seamless dissemination of information through the organization, which primarily involves business metrics both past and current for the use of decision support in businesses. Data Mining (DM) is the process of discovering new patterns from large data using algorithms and statistical methods. To differentiate between the three, BI is mostly current reports, BA is models to predict and strategize and DM matches patterns in big data. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy. The book utilizes Albert Einstein’s famous remarks on making things as simple as possible, but no simpler. This book will blow the last remaining doubts in your mind about using R in your business environment. Even non-technical users will enjoy the easy-to-use examples. The interviews with creators and corporate users of R make the book very readable. The author firmly believes Isaac Asimov was a better writer in spreading science than any textbook or journal author.
Big Data Demystified
Big Data is a big topic, based on simple principles. Guided by leading expert in the field, David Stephenson, you will be amazed at how you can transform your company, and significantly improve KPIs across a broad range of business units and applications. Find out how an ecommerce company avoided two million product returns per year, how a newspaper saw triple-digit annual growth in digital subscriptions, how researchers in England learned to better detect pending cardiovascular problems, and how AI programs taught themselves to win games using techniques that even their human programmers didn't understand, all thanks to big data. Find out also how one company realized it could swap a million dollar hardware system with a twenty thousand dollar replacement. With simple and straightforward chapters that allow you to map examples onto your own business, Big Data Demystified will help you: · Know which data is most useful to collect now and why it's important to start collecting that data as soon as possible. · Understand big data and data science and how they can help you reach your business goals and gain competitive advantage. · Use big data to understand where you are now and how you can improve in the future. · Understand factors in choosing a big data system, including whether to go with cloud-based solutions. · Construct your big data team in a way that supports an effective strategy and helps make your business more data-driven. BIG DATA MAKES A BIG DIFFERENCE "Read this book! It is an essential guide to using data in a practical way that drives results." Ian McHenry, CEO Beyond Pricing "This is the book we've been missing: big data explained without the complexity." Marc Salomon, Professor in Decision Sciences and Dean at University of Amsterdam Business School "Big Data for the rest of us! I have never come across a book that is so full of practical advice, actionable examples and helpful explanations. Read this one book and start executing Big Data at your workplace tomorrow!" Tobias Wann CEO at @Leisure Group