Storytelling with Data: A Data Visualization Guide for Business Professionals, Nussbaumer Knaflic Cole
Название: Data-Driven Storytelling ISBN: 1138197106 ISBN-13(EAN): 9781138197107 Издательство: Taylor&Francis Рейтинг: Цена: 7195.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents an accessible introduction to data-driven storytelling. Resulting from unique discussions between data visualization researchers and data journalists it offers an integrated definition of the topic, presents vivid examples and patterns for data storytelling, and calls out key challenges and new opportunities.
Автор: Francisco Azuaje Название: Data Analysis and Visualization in Genomics and Proteomics ISBN: 0470094397 ISBN-13(EAN): 9780470094396 Издательство: Wiley Рейтинг: Цена: 23277.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this field. It addresses important techniques for the interpretation of data originating from multiple sources, encoded in different formats or protocols, and processed by multiple systems.
Описание: This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes.
Автор: Williams, Steve Название: Business Intelligence Strategy and Big Data Analytics ISBN: 0128091983 ISBN-13(EAN): 9780128091982 Издательство: Elsevier Science Рейтинг: Цена: 5388.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges.
In recent years, terms like "big data" and "big data analytics" have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both.
Provides ideas for improving the business performance of one's company or business functions
Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies
Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans
Описание: Apply the tools and techniques of text analytics with ease and add value to your company by understanding its key approaches and the business reality behind them.
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