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Author: Santiago Alejandro Andocilla Chicaiza
Publisher: Editorial Investigativa Latinoamericana (SciELa)
ISBN: 994271734X
Category : Computers
Languages : es
Pages : 146
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Book Description
Es un libro esencial para cualquier profesional que busque mejorar su capacidad de gestión en ventas y operaciones utilizando herramientas de análisis predictivo. Escrito por expertos en el campo, este libro ofrece una guía completa y accesible para aprovechar al máximo las capacidades de Excel, RStudio y Python en el ámbito de la gestión empresarial. Lo que hace que este libro sea especialmente valioso es su enfoque práctico y su capacidad para abordar tanto conceptos fundamentales como técnicas avanzadas. Los lectores encontrarán una introducción clara a las herramientas de análisis de datos más utilizadas en el mundo empresarial, así como ejemplos concretos de cómo aplicar estas técnicas para mejorar la toma de decisiones en ventas y operaciones. Los autores demuestran un profundo conocimiento de las aplicaciones prácticas de estas herramientas y presenta casos de estudio que muestran cómo pueden utilizarse en situaciones del mundo real. Además, el libro incluye ejercicios y ejemplos detallados que ayudan a los lectores a desarrollar sus habilidades de manera efectiva. Una característica destacada de este libro es su enfoque en la gestión predictiva, lo que significa que no solo se limita a analizar datos históricos, sino que también ofrece estrategias para prever tendencias futuras y tomar decisiones informadas en consecuencia. Esto es particularmente relevante en un mundo empresarial en constante evolución, donde la anticipación de cambios y la adaptación rápida son cruciales.
Author: Santiago Alejandro Andocilla Chicaiza
Publisher: Editorial Investigativa Latinoamericana (SciELa)
ISBN: 994271734X
Category : Computers
Languages : es
Pages : 146
Get Book Here
Book Description
Es un libro esencial para cualquier profesional que busque mejorar su capacidad de gestión en ventas y operaciones utilizando herramientas de análisis predictivo. Escrito por expertos en el campo, este libro ofrece una guía completa y accesible para aprovechar al máximo las capacidades de Excel, RStudio y Python en el ámbito de la gestión empresarial. Lo que hace que este libro sea especialmente valioso es su enfoque práctico y su capacidad para abordar tanto conceptos fundamentales como técnicas avanzadas. Los lectores encontrarán una introducción clara a las herramientas de análisis de datos más utilizadas en el mundo empresarial, así como ejemplos concretos de cómo aplicar estas técnicas para mejorar la toma de decisiones en ventas y operaciones. Los autores demuestran un profundo conocimiento de las aplicaciones prácticas de estas herramientas y presenta casos de estudio que muestran cómo pueden utilizarse en situaciones del mundo real. Además, el libro incluye ejercicios y ejemplos detallados que ayudan a los lectores a desarrollar sus habilidades de manera efectiva. Una característica destacada de este libro es su enfoque en la gestión predictiva, lo que significa que no solo se limita a analizar datos históricos, sino que también ofrece estrategias para prever tendencias futuras y tomar decisiones informadas en consecuencia. Esto es particularmente relevante en un mundo empresarial en constante evolución, donde la anticipación de cambios y la adaptación rápida son cruciales.
Author: Vincenzo Morabito
Publisher: Springer
ISBN: 3319106651
Category : Business & Economics
Languages : en
Pages : 202
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Book Description
This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.
Author: Yihui Xie
Publisher: CRC Press
ISBN: 1351792601
Category : Mathematics
Languages : en
Pages : 140
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Book Description
bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends R Markdown for technical writing, so that you can make better use of document elements such as figures, tables, equations, theorems, citations, and references. Similar to LaTeX, you can number and cross-reference these elements with bookdown. Your document can even include live examples so readers can interact with them while reading the book. The book can be rendered to multiple output formats, including LaTeX/PDF, HTML, EPUB, and Word, thus making it easy to put your documents online. The style and theme of these output formats can be customized. We used books and R primarily for examples in this book, but bookdown is not only for books or R. Most features introduced in this book also apply to other types of publications: journal papers, reports, dissertations, course handouts, study notes, and even novels. You do not have to use R, either. Other choices of computing languages include Python, C, C++, SQL, Bash, Stan, JavaScript, and so on, although R is best supported. You can also leave out computing, for example, to write a fiction. This book itself is an example of publishing with bookdown and R Markdown, and its source is fully available on GitHub.
Author: E. Valsami-Jones
Publisher: IWA Publishing
ISBN: 1843390019
Category : Science
Languages : en
Pages : 681
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Book Description
Phosphorus in Environmental Technology: Principles and Applications, provides a definitive and detailed presentation of state-of-the-art knowledge on the environmental behaviour of phosphorus and its applications to the treatment of waters and soils. Special attention is given to phosphorus removal for recovery technologies, a concept that has emerged over the past 5-6 years. The book features an all-encompassing approach: the fundamental science of phosphorus (chemistry, geochemistry, mineralogy, biology), key aspects of its environmental behaviour and mobility, industrial applications (treatment, removal, recovery) and the principles behind such applications, novel biotechnologies and, importantly, it also addresses socio-economic issues which often influence implementation and the ultimate success of any new technology. A detailed subject index helps the reader to find their way through the different scientific and technological aspects covered, making it an invaluable reference work for students, professionals and consultants dealing with phosphorus-related environmental technologies. State-of-the-art knowledge on the behaviour of phosphorus and its applications to environmental science and technology. Covers all aspects of phosphorus in the environment, engineered and biological systems; an interdisciplinary text.
Author: Krish Krishnan
Publisher: Newnes
ISBN: 0124059201
Category : Computers
Languages : en
Pages : 371
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Book Description
Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse. As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data–ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory. Ultimately, this book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse. - Learn how to leverage Big Data by effectively integrating it into your data warehouse. - Includes real-world examples and use cases that clearly demonstrate Hadoop, NoSQL, HBASE, Hive, and other Big Data technologies - Understand how to optimize and tune your current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements
Author: Mohamed Anis Bach Tobji
Publisher: Springer Nature
ISBN: 3030646424
Category : Computers
Languages : en
Pages : 197
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Book Description
This book constitutes the refereed proceedings of the 5th International Conference, ICDEc 2020, held in Bucharest, Romania, in June 2020. Due to the COVID-19 pandemic the conference took place virtually. The 13 full papers presented in this volume together with 3 abstracts of keynotes and 1 introductory paper by the steering committee were carefully reviewed and selected from a total of 41 submissions. The core theme of this year’s conference was “Emerging Technologies & Business Innovation”. The papers were organized in four topical sections named: digital transformation, data analytics, digital marketing, and digital business models.
Author: William H. Sandholm
Publisher: MIT Press
ISBN: 0262195879
Category : Business & Economics
Languages : en
Pages : 618
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Book Description
Evolutionary game theory studies the behaviour of large populations of strategically interacting agents & is used by economists to predict in settings where traditional assumptions about the rationality of agents & knowledge may be inapplicable.
Author: International Renewable Energy Agency
Publisher:
ISBN: 9789295111981
Category :
Languages : en
Pages :
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Book Description
Solar photovoltaic (PV) deployment has grown at unprecedented rates since the early 2000s. As the global PV market increases, so will the volume of decommissioned PV panels, and large amounts of annual waste are anticipated by the early 2030s. Growing PV panel waste presents a new environmental challenge, but also unprecedented opportunities to create value and pursue new economic avenues.This report, prepared jointly by the International Renewable Energy Agency (IRENA) and the International Energy Agency Photovoltaic Power Systems Programme (IEA-PVPS), is the first-ever projection of PV panel waste volumes to 2050. It highlights that recycling or repurposing solar PV panels at the end of their roughly 30-year lifetime can unlock an estimated stock of 78 million tonnes of raw materials and other valuable components globally by 2050. If fully injected back into the economy, the value of the recovered material could exceed USD 15 billion by 2050.
Author: Vincenzo Morabito
Publisher: Cambridge University Press
ISBN: 1108986145
Category : Business & Economics
Languages : en
Pages : 261
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Book Description
A comprehensive guide to digital entrepreneurship, bridging academic research and industry practice. Morabito provides a strategic overview of the main challenges and trends related to digital entrepreneurship, structured in three parts. Part I focuses on strategy and management issues, guiding readers through the theory and practice of building, implementing and growing new digital ventures and outlining the skills that are necessary for digital entrepreneurs to succeed and lead. Part II focuses on digital business systems, describing the main technological aspects that support and comprise the core infrastructure for digital entrepreneurship, including social media and the Internet of Things. Finally, Part III provides analyses of three core industries in which digital ventures are particularly important: fintech, manufacturing and fashion. Digital Entrepreneurship will appeal to students and researchers in the areas of digital strategy/innovation and information systems management. It will also be of interest to practitioners looking to develop or innovate digital ventures.
Author: Jay Liebowitz
Publisher: CRC Press
ISBN: 1466565799
Category : Business & Economics
Languages : en
Pages : 304
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Book Description
"The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions todo this, avoid that.'"-From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee CompanyWith the growing barrage of "big data," it becomes vitally important for organizations to mak
