Data Driven Intelligent Business Sustainability
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Data Driven Intelligent Business Sustainability
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Author : Singh, Sonia
language : en
Publisher: IGI Global
Release Date : 2023-12-05
Data Driven Intelligent Business Sustainability written by Singh, Sonia and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-05 with Computers categories.
Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success.
Data Driven Intelligent Business Sustainability
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Author :
language : en
Publisher:
Release Date : 2023
Data Driven Intelligent Business Sustainability written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
Data Driven Intelligent Business Sustainability
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Author : Sonia Singh
language : en
Publisher:
Release Date : 2024
Data Driven Intelligent Business Sustainability written by Sonia Singh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Big data categories.
"The purpose of this book series is to provide a comprehensive analysis of how data-driven decision making is influencing the prospects for sustainable commercial and economic growth. Novel research with the intent of elucidating fresh perspectives through methodically sound and evidence-based analysis is required for consideration for inclusion in this proposed book series. Data-driven decision making has skyrocketed in popularity in recent years, thanks to technological advancements that have allowed us to collect and analyse data on an unprecedented scale. Today's technological and business environment makes it difficult to sustain a thriving corporation that can innovate, grow, and supply the market with cutting-edge products and services that stimulate the economy. The problem has been posed to the research community"--
Data Driven Analytics For Sustainable Buildings And Cities
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Author : Xingxing Zhang
language : en
Publisher: Springer Nature
Release Date : 2021-09-11
Data Driven Analytics For Sustainable Buildings And Cities written by Xingxing Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-11 with Social Science categories.
This book explores the interdisciplinary and transdisciplinary fields of energy systems, occupant behavior, thermal comfort, air quality and economic modelling across levels of building, communities and cities, through various data analytical approaches. It highlights the complex interplay of heating/cooling, ventilation and power systems in different processes, such as design, renovation and operation, for buildings, communities and cities. Methods from classical statistics, machine learning and artificial intelligence are applied into analyses for different building/urban components and systems. Knowledge from this book assists to accelerate sustainability of the society, which would contribute to a prospective improvement through data analysis in the liveability of both built and urban environment. This book targets a broad readership with specific experience and knowledge in data analysis, energy system, built environment and urban planning. As such, it appeals to researchers, graduate students, data scientists, engineers, consultants, urban scientists, investors and policymakers, with interests in energy flexibility, building/city resilience and climate neutrality.
Data Driven Digital Marketing The Art And Science Of Intelligent Decision Making
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Author : Milad Shemshaki
language : en
Publisher: Milad Shemshaki
Release Date :
Data Driven Digital Marketing The Art And Science Of Intelligent Decision Making written by Milad Shemshaki and has been published by Milad Shemshaki this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
The book combines theoretical foundations with practical insights, case studies, and actionable strategies, making it an invaluable resource for marketing professionals, business leaders, students, and entrepreneurs alike. By exploring cutting-edge technologies and emphasizing the alignment of data-driven tactics with broader business objectives, Shemshaki equips readers with the knowledge and tools necessary to thrive in the digital age. Whether you're looking to enhance your data analysis skills, drive business growth through intelligent marketing decisions, or gain a competitive edge in the marketplace, this book provides a roadmap for leveraging data to create more meaningful connections with your audience and achieve measurable business results.
Data Driven Decision Making For Long Term Business Success
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Author : Singh, Sonia
language : en
Publisher: IGI Global
Release Date : 2023-12-21
Data Driven Decision Making For Long Term Business Success written by Singh, Sonia and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-21 with Business & Economics categories.
In today's academic environment, the challenge of ensuring lasting commercial and economic success for organizations has become more daunting than ever before. The relentless surge in data-driven decision-making, based on innovative technologies such as blockchain, IoT, and AI, has created a digital frontier filled with complexity. Maintaining a healthy firm that can continually provide innovative products and services to the public while fueling economic growth has become a formidable puzzle. Moreover, this digital transformation has ushered in new risks, from pervasive cybersecurity threats to the ethical challenges surrounding artificial intelligence. In this evolving landscape, academic scholars face the pressing challenge of deciphering the path to long-term organizational prosperity in an era dominated by data. Data-Driven Decision Making for Long-Term Business Success serves as guidance and insights amidst this academic challenge. It is the definitive solution for scholars seeking to uncover the complexities of data-driven decision-making and its profound impact on organizational success. Each meticulously curated chapter delves into a specific facet of this transformative journey, from the implications of modern technologies and pricing optimization to the ethics underpinning data-driven strategies and the metaverse's influence on decision-making.
Data Driven Marketing For Strategic Success
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Author : Rosário, Albérico Travassos
language : en
Publisher: IGI Global
Release Date : 2024-08-09
Data Driven Marketing For Strategic Success written by Rosário, Albérico Travassos and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-09 with Business & Economics categories.
In the field of modern marketing, a pivotal challenge emerges as traditional strategies grapple with the complexities of an increasingly data-centric world. Marketers, researchers, and business consultants find themselves at a crossroads, navigating the intricate intersection of data science and strategic marketing practices. This challenge serves as the catalyst for Data-Driven Marketing for Strategic Success, a guide designed to address the pressing issues faced by academic scholars and professionals alike. This comprehensive exploration unveils the transformative power of data in reshaping marketing strategies, offering a beacon of strategic success in a sea of uncertainty. This book transcends the realm of traditional marketing literature. It stands as a useful resource, not merely adding elements to ongoing research but shaping the very future of how researchers, practitioners, and students engage with the dynamic world of data-driven marketing. It is strategically tailored to reach a diverse audience, offering valuable insights to academics and researchers exploring advanced topics, practitioners in the marketing industry seeking practical applications, and graduate students studying data science, marketing, and business analytics. Policymakers, ethicists, and industry regulators will find the dedicated section on ethical considerations particularly relevant, emphasizing the importance of responsible practices in the data-driven marketing landscape.
Advancing Intelligent Networks Through Distributed Optimization
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Author : Rajest, S. Suman
language : en
Publisher: IGI Global
Release Date : 2024-08-29
Advancing Intelligent Networks Through Distributed Optimization written by Rajest, S. Suman and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-29 with Computers categories.
The numerous developments in wireless communications and artificial intelligence (AI) have recently transformed the Internet of Things (IoT) networks to a level of connectivity and intelligence beyond any prior design. This topology is sharply exemplified in mobile edge computing, smart cities, smart homes, smart grids, and the IoT, among many other intelligent applications. Intelligent networks are founded on integrating caching and multi-agent systems that optimize data storage and the entire device’s learning process. However, a central node through which all agents transmit status messages and reward information is a major drawback of this design pattern. This central node condition instigates more communication overhead, potential data leakage, and the birth of data islands. To reverse this trend, using distributed optimization techniques and methodologies in cache-enabled multi-agent learning environments is increasingly beneficial. Advancing Intelligent Networks Through Distributed Optimization explains the current race for sophisticated and accurate distributed optimization in cache-enabled intelligent IoT networks given the need to make multi-agent learning converge faster and reduce communication overhead. These techniques will require innovative resource allocation strategies stretching from system training to caching, communication, and processing amongst millions of agents. This book combines the key recent research in these races into a single binder that can serve all the interested theoretical and practical scholars. The book focuses broadly on intelligent systems’ optimization trends. It identifies the various applications of advanced distributed optimization from manufacturing to medicine, agriculture and smart cities.
Big Data Analytics Techniques For Market Intelligence
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Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2024-01-04
Big Data Analytics Techniques For Market Intelligence written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-04 with Computers categories.
The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence, a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.
Startup Driven E Government Digital Innovation For Sustainable Ecosystems
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Author : Mishra, Divya
language : en
Publisher: IGI Global
Release Date : 2025-05-23
Startup Driven E Government Digital Innovation For Sustainable Ecosystems written by Mishra, Divya and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Business & Economics categories.
As startups create breakthrough innovation increasing public sector performance, they are often utilized to restructure government operations by leveraging digital technology and electronic governance. Measurable and simple solutions may improve efficiency in public services, boost the transparency of public institutions, and promote sustainability in areas ranging from education and farming to healthcare and business. The infusion of technology can upgrade traditional government models into innovative, customer-oriented, and sustainable foundations. Further exploration may revolutionize how e-governance tools can be used to enhance government responsiveness and create a sustainable digital ecosystem that benefits both the public and private sectors. Startup-Driven E-Government: Digital Innovation for Sustainable Ecosystems explores how digital changes are solving historical deficiencies in the management system. It offers actionable insights, focusing on how collaboration can overcome challenges and improve public services. Covering topics such as smart labor welfare, industrial automation, and women’s safety, this book is an excellent resource for government officials, policymakers, entrepreneurs, engineers, urban developers, business owners, researchers, scholars, academicians, and more.