From Big to Smart Data. How can Data Analytics support Strategic Decisions to gain Competitive Advantage? PDF Download

Author: Alexej Eichmann
Publisher: GRIN Verlag
ISBN: 3668074704
Category : Business & Economics
Languages : en
Pages : 29

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Book Description
Research Paper (postgraduate) from the year 2015 in the subject Business economics - Operations Research, grade: 1, University of Applied Sciences Essen, language: English, abstract: One of the biggest challenges currently and in the upcoming years is the amount of data generated worldwide, which will increase exponentially by factor 10. The challenge for business leaders in the era of Big Data will be to identify and to use the most relevant data for decision-making in the context of Strategic Management. This assignment analysis which relevance data analytics of Big respectively Smart Data nowadays has and how it can be utilized in enterprises to gain a higher degree of competitive advantage. Therefore a few selected examples and use cases are provided on the Corporate, Business and Functional level of Strategic Management. Business leaders are using data analytics to understand cost and revenue drivers, to evaluate risks and to predict trends to improve business performance and to foster innovation. Studies show, that Big Data will revolutionize business operations and change the way of doing business. Companies not dealing with Big Data will lose their competitive advantage. With a deeper understanding of customers’ behavior and demands through analysis of Big Data, companies can find new ways to approach existing and potential customers by improved or new products. Criticism related to this is the debate about data security and data privacy and the misuse of personal data.

Author: Peter Langkafel
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110445743
Category : Computers
Languages : en
Pages : 290

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Book Description
Big Data in medical science – what exactly is that? What are the potentials for healthcare management? Where is Big Data at the moment? Which risk factors need to be kept in mind? What is hype and what is real potential? This book provides an impression of the new possibilities of networked data analysis and "Big Data" – for and within medical science and healthcare management. Big Data is about the collection, storage, search, distribution, statistical analysis and visualization of large amounts of data. This is especially relevant in healthcare management, as the amount of digital information is growing exponentially. An amount of data corresponding to 12 million novels emerges during the time of a single hospital stay. These are dimensions that cannot be dealt with without IT technologies. What can we do with the data that are available today? What will be possible in the next few years? Do we want everything that is possible? Who protects the data from wrong usage? More importantly, who protects the data from NOT being used? Big Data is the "resource of the 21st century" and might change the world of medical science more than we understand, realize and want at the moment. The core competence of Big Data will be the complete and correct collection, evaluation and interpretation of data. This also makes it possible to estimate the frame conditions and possibilities of the automation of daily (medical) routine. Can Big Data in medical science help to better understand fundamental problems of health and illness, and draw consequences accordingly? Big Data also means the overcoming of sector borders in healthcare management. The specialty of Big Data analysis will be the new quality of the outcomes of the combination of data that were not related before. That is why the editor of the book gives a voice to 30 experts, working in a variety of fields, such as in hospitals, in health insurance or as medical practitioners. The authors show potentials, risks, concrete practical examples, future scenarios, and come up with possible answers for the field of information technology and data privacy.

Author: Sharma, Avinash Kumar
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 375

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Book Description
The rapid evolution of software engineering demands innovative approaches to meet the growing complexity and scale of modern software systems. Traditional methods often need help to keep pace with the demands for efficiency, reliability, and scalability. Manual development, testing, and maintenance processes are time-consuming and error-prone, leading to delays and increased costs. Additionally, integrating new technologies, such as AI, ML, Federated Learning, and Large Language Models (LLM), presents unique challenges in terms of implementation and ethical considerations. Advancing Software Engineering Through AI, Federated Learning, and Large Language Models provides a compelling solution by comprehensively exploring how AI, ML, Federated Learning, and LLM intersect with software engineering. By presenting real-world case studies, practical examples, and implementation guidelines, the book ensures that readers can readily apply these concepts in their software engineering projects. Researchers, academicians, practitioners, industrialists, and students will benefit from the interdisciplinary insights provided by experts in AI, ML, software engineering, and ethics.

Author: Hamid Jahankhani
Publisher: Springer Nature
ISBN: 3031201604
Category : Computers
Languages : en
Pages : 482

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Book Description
This book provides an opportunity for researchers, scientists, government officials, strategist and operators and maintainers of large, complex and advanced systems and infrastructure to update their knowledge with the state of best practice in the challenging domains whilst networking with the leading representatives, researchers and solution providers. The ongoing pandemic has created a new level of threats which presents new challenges around privacy, data protection, malicious application, unprotected networks or networks with basic protection that are being used as a gateway to larger infrastructure with complicated architecture, and unintentional misuse such as those associated with algorithmic bias. All these have increased the number of attack vectors that can be used to attack such networks. Drawing on 13 years of successful events on information security, digital forensics and cyber-crime, the 14th ICGS3-22 conference aims to provide attendees with an information-packed agenda with representatives from across the industry and the globe. The challenges of complexity, rapid pace of change and risk/opportunity issues associated with modern products, systems, special events and infrastructures. In an era of unprecedented volatile, political and economic environment across the world, computer-based systems face ever more increasing challenges, disputes and responsibilities, and whilst the Internet has created a global platform for the exchange of ideas, goods and services, it has also created boundless opportunities for cyber-crime. This volume presents new materials and contribute to knowledge through the technological advances that are being made across artificial intelligence (AI), machine learning, blockchain and quantum computing. These technologies driven by a digital revolution are expected to be disruptive and provide major digital transformation in the way societies operate today. As result, although these advances provide social and economic benefits, but, also, provide new challenges that security industry need to raise their game to combat them.

Author: Francisco J. Navarro-Meneses
Publisher: CABI
ISBN: 1789249309
Category : Business & Economics
Languages : en
Pages : 357

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Book Description
Smart technologies are revolutionizing tourism, as they are having a profound impact on the way tourists behave and on how firms interact with them and create value. The increasing availability of real-time Big Data and the advances made in data analytics techniques, artificial intelligence, and IoT, has begun to transform tourism organizations in ways not previously considered, and in a lasting manner. This book delivers the latest and most relevant advances in the field of smart transformation and the management practices that can be put into practice to continue creating value in the years to come. Divided into four main parts and 23 chapters, it highlights the challenges that the Smart Revolution brings to tourism firms by providing updated knowledge on the literature, research, and experiences of the author. The book will also provide a guide for action to business leaders and those approaching the fundamentals of the Smart Revolution for the first time. It will also serve as a valuable text for undergraduate and graduate students on specialized courses in tourism, technology, and business transformation.

Author: Ilias Maglogiannis
Publisher: Springer Nature
ISBN: 3030791505
Category : Computers
Languages : en
Pages : 801

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Book Description
This book constitutes the refereed proceedings of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, held virtually and in Hersonissos, Crete, Greece, in June 2021. The 50 full papers and 11 short papers presented were carefully reviewed and selected from 113 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: adaptive modeling/ neuroscience; AI in biomedical applications; AI impacts/ big data; automated machine learning; autonomous agents; clustering; convolutional NN; data mining/ word counts; deep learning; fuzzy modeling; hyperdimensional computing; Internet of Things/ Internet of energy; machine learning; multi-agent systems; natural language; recommendation systems; sentiment analysis; and smart blockchain applications/ cybersecurity. Chapter “Improving the Flexibility of Production Scheduling in Flat Steel Production Through Standard and AI-based Approaches: Challenges and Perspective” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1466698411
Category : Computers
Languages : en
Pages : 2478

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Book Description
The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.

Author: Tavana, Madjid
Publisher: IGI Global
ISBN: 1466672730
Category : Computers
Languages : en
Pages : 561

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Book Description
Big data analytics utilizes a wide range of software and analytical tools to provide immediate, relevant information for efficient decision-making. Companies are recognizing the immense potential of BDA, but ensuring the data is appropriate and error-free is the largest hurdle in implementing BDA applications. The Handbook of Research on Organizational Transformations through Big Data Analytics not only catalogues the existing platforms and technologies, it explores new trends within the field of big data analytics (BDA). Containing new and existing research materials and insights on the various approaches to BDA; this publication is intended for researchers, IT professionals, and CIOs interested in the best ways to implement BDA applications and technologies.

Author: Shivani Bali
Publisher: CRC Press
ISBN: 1000519228
Category : Business & Economics
Languages : en
Pages : 267

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Book Description
This book captures deploying Industry 4.0 technologies for business excellence and moving towards Society 5.0. It addresses applications of Industry 4.0 in the areas of marketing, operations, supply chain, finance, and HR to achieve business excellence. Industry 4.0 Technologies for Business Excellence: Frameworks, Practices, and Applications focuses on the use of AI in management across different sectors. It explores the benefits through a human-centered approach to resolving social problems by integrating cyberspace and physical space. It discusses the framework for moving towards Society 5.0 and keeping a balance between economic and social gains. This book brings together researchers, developers, practitioners, and users interested in exploring new ideas, techniques, and tools and exchanging their experiences to provide the most recent information on Industry 4.0 applications in the field of business excellence. Graduate or postgraduate students, professionals, and researchers in the fields of operations management, manufacturing, healthcare, supply chain, marketing, finance, and HR will find this book full of new ideas, techniques, and tools related to Industry 4.0.

Author: Nuno Martins
Publisher: Springer Nature
ISBN: 3031353854
Category : Business & Economics
Languages : en
Pages : 362

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Book Description
This book gathers new empirical findings fostering advances in the areas of communication design and branding, with a special emphasis of interdisciplinary approaches showing how to combine knowledge in those fields to improve businesses in a digital, global world. Gathering original, peer-reviewed contributions written by designers, computer scientists, marketer and product managers, this book provides both the communication and branding communities with a timely snapshot of current strategies and best-practices to improve different kinds of business through design. By highlighting current challenges, it is also intended to inspire and foster collaboration between different groups, in both university and industry.