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 Anonymous

Nutzung von Business Intelligence zur Identifikation und Entwicklung digitaler Geschäftsmodelle

Zum Werk Mit dem digitalen Wandel steigt die rechtliche Bedeutung der Beschaffung und Verarbeitung von Daten. Das Handbuch bietet hierzu eine grundlegende und umfassende Darstellung des Datenrechts. Es hilft allen Interessierten, die relevanten rechtlichen Aspekte der Datenwirtschaft zu verstehen und Daten praxisgerecht und rechtskonform einzusetzen. Das Werk ist entlang dem Lebenszyklus von Daten aufgebaut, um ausgehend vom Praxisfall querschnittsartig den Zugang zur hochkomplexen Datenregulierung vor allem der EU zu eröffnen. Beginnend mit der Datenerhebung bis hin zur Löschung werden alle Nutzungsmöglichkeiten rechtlich ausführlich behandelt. Das Handbuch erörtert die oft fragmentierte Rechtslage konzentriert aus einer Hand. So finden Leserinnen und Leser schnell die für sie relevanten Informationen. Vorteile auf einen Blick<ul><li>Praxisorientierung durch Orientierung am Lebenszyklus von Daten</li><li>konzentrierte und hochaktuelle Darstellung der rechtlichen Situation</li><li>im Datenrecht ausgewiesene Autorinnen und Autoren aus Wissenschaft und Praxis</li></ul> Zielgruppe Für Rechtsanwaltschaft, Syndikusanwaltschaft, Behördenreferentinnen und Behördenreferenten, Richterschaft sowie Wissenschaftlerinnen und Wissenschaftler jeglicher Disziplinen.

Zum Werk 
 Mit dem digitalen Wandel steigt die rechtliche Bedeutung der Beschaffung und Verarbeitung von Daten. Das Handbuch bietet hierzu eine grundlegende und umfassende Darstellung des Datenrechts. Es hilft allen Interessierten, die relevanten rechtlichen Aspekte der Datenwirtschaft zu verstehen und Daten praxisgerecht und rechtskonform einzusetzen.
 
 Das Werk ist entlang dem Lebenszyklus von Daten aufgebaut, um ausgehend vom Praxisfall querschnittsartig den Zugang zur hochkomplexen Datenregulierung vor allem der EU zu eröffnen. Beginnend mit der Datenerhebung bis hin zur Löschung werden alle Nutzungsmöglichkeiten rechtlich ausführlich behandelt. Das Handbuch erörtert die oft fragmentierte Rechtslage konzentriert aus einer Hand. So finden Leserinnen und Leser schnell die für sie relevanten Informationen.
 Vorteile auf einen Blick<ul><li>Praxisorientierung durch Orientierung am Lebenszyklus von Daten</li><li>konzentrierte und hochaktuelle Darstellung der rechtlichen Situation</li><li>im Datenrecht ausgewiesene Autorinnen und Autoren aus Wissenschaft und Praxis</li></ul> Zielgruppe 
 Für Rechtsanwaltschaft, Syndikusanwaltschaft, Behördenreferentinnen und Behördenreferenten, Richterschaft sowie Wissenschaftlerinnen und Wissenschaftler jeglicher Disziplinen.

Datenrecht

Contributions to Finance and Accounting

This edited book&nbsp;discusses the transformative impact of artificial intelligence on financial innovation. As new entrants flood various financial sectors with investments, they are reshaping the banking landscape and fostering a vibrant digital ecosystem.The evolution of finance, driven by artificial intelligence, offers a critical opportunity to balance financial stability, investor and consumer protection, and the promotion of innovation. In this dynamic environment, large international firms built on advanced digital telecommunications coexist with agile fintech startups. These innovative companies challenge traditional banking models, leveraging technology in ways that disrupt established institutions. While these shifts present exciting opportunities, they also carry significant risks.As we navigate this new era, it is crucial to assess, manage, and control risk-taking and the rise of fintechs. Without proper oversight, the very innovation that propels progress could lead to financial crises. Therefore, establishing robust prudential policies and regulatory frameworks is essential to safeguard financial stability.To thrive in this evolving landscape, financial professionals and accountants must embrace new technologies and stay attuned to their clients' changing needs. Although online tools and technologies are taking over more accounting functions, the expertise and ethical commitment of accountants remain irreplaceable. Guided by a professional order and a strong code of ethics, they possess the credibility needed to support managers effectively.In a rapidly changing business environment where digital technology permeates every aspect of operations, accountants are not just number crunchers; they are strategic partners, equipped to guide organizations towards success in this fast-paced digital age.

Innovation, Regulation, and Technological Developments

Generative AI in Finance and Law

In today’s world of Big Data, data scientists must stay ahead of the game, especially in environments that are increasingly unstructured and semi-structured. They need fresh skills to navigate these complex environments. It is also important to question whether Big Data analytics fundamentally differs from Small Data analytics.
 In 
 Data Science for Managers, 
 industry expert Richard Boire breaks down the vast field of data science into easy-to-understand insights. Using real-world examples from leading global companies, this book provides a clear, step-by-step guide to help business managers harness the power of data science. Boire's 4-step process walks you through deciding when to use data science, implementing it, and making sense of the results to improve customer ROI and business outcomes.
 Packed with engaging stories and case studies, this work also highlights potential pitfalls in data science and shares strategies for avoiding them. &nbsp;This updated edition focuses on new developments related to AI and machine learning, with guidance for data managers on how to use this technology in developing business solutions.Data Science for Managers
 is a book for marketers, IT professionals, analysts, and anyone else who wants to transform mountains of data into actionable insights and effective business strategies. With the rise of AI and cutting-edge technology, it equips you with the tools you need to navigate this new landscape and turn complex data into tangible results. Whether you're new to data science or looking to sharpen your skills, this book is your guide to unlocking the full potential of big data.
 Richard Boire
 is a seasoned professional, industry visionary, and leader with 30+ years' experience in developing and implementing data Science/Analytics solutions across all industry sectors. As President of Boire Analytics, he offers analytical and data management services to companies seeking solutions to their existing predictive analytics or database/digital marketing challenges.
 He has taught applied statistics, data mining and database marketing at a variety of institutions across Canada which include University of Toronto, George Brown College, and Seneca College.&nbsp;

In today’s world of Big Data, data scientists must stay ahead of the game, especially in environments that are increasingly unstructured and semi-structured. They need fresh skills to navigate these complex environments. It is also important to question whether Big Data analytics fundamentally differs from Small Data analytics.
 In 
 Data Science for Managers, 
 industry expert Richard Boire breaks down the vast field of data science into easy-to-understand insights. Using real-world examples from leading global companies, this book provides a clear, step-by-step guide to help business managers harness the power of data science. Boire's 4-step process walks you through deciding when to use data science, implementing it, and making sense of the results to improve customer ROI and business outcomes.
 Packed with engaging stories and case studies, this work also highlights potential pitfalls in data science and shares strategies for avoiding them. &nbsp;This updated edition focuses on new developments related to AI and machine learning, with guidance for data managers on how to use this technology in developing business solutions.Data Science for Managers
 is a book for marketers, IT professionals, analysts, and anyone else who wants to transform mountains of data into actionable insights and effective business strategies. With the rise of AI and cutting-edge technology, it equips you with the tools you need to navigate this new landscape and turn complex data into tangible results. Whether you're new to data science or looking to sharpen your skills, this book is your guide to unlocking the full potential of big data.

How to Use Data (Big and Small) to Solve Business Challenges

Data Science for Managers

Regulating Big Tech beyond the Trans-Atlantic

Global Platform Governance

This textbook is ideal for learning and understanding more advanced data and analytical techniques in marketing analytics.

Advanced Marketing Analytics by Nasir Salari provides postgraduate students with a clear and comprehensive pathway through the advanced concepts, methods and applications that define modern marketing analytics. Designed for students undertaking marketing analytics courses or degrees, it supports learners in developing critical data literacy and analytical skills, even with little or no prior coding experience.

This textbook builds a strong foundation across all three key areas of marketing analytics: descriptive, predictive and prescriptive, showing how each contributes to better marketing insight and decision making. It explores no-code to low-code analytical approaches, data preparation, A/B testing, Market Basket Analysis and the integration of AI, machine learning and big data into marketing practice. Understand how marketers use cluster analysis, data mining, visualisation, segmentation and other techniques to understand consumers, optimize campaigns and deliver measurable results.

Learning features include:
- defined learning objectives and practical exercises for structured study
- discussion questions and a key terms and formulae list to reinforce critical thinking
- online resources with PowerPoint slides 

Combining academic rigor with industry practice, Advanced Marketing Analytics equips postgraduate students with the analytical mindset and practical tools to turn complex marketing data into strategical, evidence-based insights.

Transform Data into Insights

Advanced Marketing Analytics

All businesses face continuous pressure to improve efficiency, reduce costs, and enhance profitability. By adopting an analytical approach, managers and business owners can identify opportunities and solutions that may not be immediately apparent. This book demonstrates how such an approach can be applied systematically to address complex operational challenges.Business Analytics for Supply Chains and Operations introduces a range of key topics that are grouped into three areas: modelling, optimisation, and probability. The optimisation component includes methods such as linear and integer programming and network flows, which are used to address logistics problems (e.g. transportation) in supply chains and production strategies in operations. The probabilistic component covers queueing systems and inventory models, providing tools to analyse uncertainty in operational settings.The book aims to enable readers to increase the efficiency and productivity of business operations. This requires analysts to observe and define challenges concisely, precisely, and logically. Familiarity with both classical and state-of-the-art operational research techniques and tools is essential for approaching such challenges effectively. These tools allow analysts to devise solutions, algorithms, and methods that provide a competitive advantage. Finally, results must be communicated clearly to support management decision-making. This book guides the reader through this process using numerous examples and well-worked solutions.The book is designed for postgraduate and advanced undergraduate students on business degrees, as well as for practising managers seeking analytical tools for decision-making. It emphasises hands-on learning with three main computational tools: Excel (the primary tool, introduced in depth), the MathProg modelling language for optimisation, and SimPy (with Python and a brief introduction to Simio) for simulation experiments. Online support materials include PowerPoint slides, a test bank, computer lab sheets with solutions, and links to video tutorials.

A Management Science Perspective

Business Analytics for Supply Chains and Operations

Understanding how consumers truly perceive products is at the heart of sensory and consumer science. While traditional surveys rely on limited, predefined response options, open-ended questions invite participants to describe their sensory experiences in their own words, offering richer and more nuanced insights into individual perceptions and preferences. Building on this shift toward more expressive forms of data researchers now have access to vast, unstructured text data—from online reviews to social media posts—offering unprecedented opportunities to explore consumer opinions and sentiments. Thanks to advancements in natural language processing, the use of text data is also rapidly gaining traction.Collection and Analysis of Text Data in Sensory and Consumer Science 
 provides a comprehensive overview of modern text-based research methods. From experimental approaches to data collection, to the reuse of large-scale online corpora, and their analysis through methods such as multiple-response correspondence analysis, sentiment analysis, co-occurrence networks, and netnography, this volume explores a broad array of tools and methodologies. It also adopts the multidisciplinary perspective the subject requires, drawing from neuroscience, psychology, and knowledge engineering to deepen our understanding of language, perception, and text data structuring. For researchers aiming to enrich their understanding of consumer perception, 
 Collection and Analysis of Text Data in Sensory and Consumer Science
 &nbsp;will prove a novel and invaluable guide.

Understanding how consumers truly perceive products is at the heart of sensory and consumer science. While traditional surveys rely on limited, predefined response options, open-ended questions invite participants to describe their sensory experiences in their own words, offering richer and more nuanced insights into individual perceptions and preferences. Building on this shift toward more expressive forms of data researchers now have access to vast, unstructured text data—from online reviews to social media posts—offering unprecedented opportunities to explore consumer opinions and sentiments. Thanks to advancements in natural language processing, the use of text data is also rapidly gaining traction.
&nbsp;

 Collection and Analysis of Text Data in Sensory and Consumer Science&nbsp;
 provides a comprehensive overview of modern text-based research methods. From experimental approaches to data collection, to the reuse of large-scale online corpora, and their analysis through methods such as multiple-response correspondence analysis, sentiment analysis, co-occurrence networks, and netnography, this volume explores a broad array of tools and methodologies. It also adopts the multidisciplinary perspective the subject requires, drawing from neuroscience, psychology, and knowledge engineering to deepen our understanding of language, perception, and text data structuring. For researchers aiming to enrich their understanding of consumer perception,&nbsp;
 Collection and Analysis of Text Data in Sensory and Consumer Science
 will prove a novel and invaluable guide.

Collection and Analysis of Text Data in Sensory and Consumer Science

The Sunday Times and #1 New York Times Bestseller 'The Technological Republic is far too important to ignore' Times Literary Supplement Silicon Valley's brightest minds once collaborated with governments to advance technologies, securing the West's dominance on the global stage. But that relationship has corroded - with perilous repercussions for us all. Lifting the veil on tech giant Palantir and its broader political project, visionary co-founder and CEO Alexander C. Karp and his long-time deputy Nicholas W. Zamiska offer a searing critique of our collective culture of complacency. To regain geopolitical power and preserve our freedoms, we must tackle the world's most pressing challenges - including the artificial intelligence arms race - together and head-on. Now is the time for the West to wake up. 'Bold and ambitious ... Essential reading' Eric Schmidt 'Fascinating' Financial Times 'A stirring manifesto' Niall Ferguson 'Provocative and insightful' Jamie Dimon

Hard Power, Soft Belief, and the Future of the West

The Technological Republic

Population Economics

This book introduces edumetrics, a rigorous, interdisciplinary framework for measuring learning outcomes over time and across space. Based on Lord Kelvin’s maxim that “to measure is to know,” edumetrics redefines education as an empirical science that integrates economics, psychology, and social science to quantify cognitive and non-cognitive competencies.
By harmonizing data from over 120 countries spanning half a century, the book transforms fragmented indicators into coherent measures of learning quality and equity. It critiques the limitations of traditional human capital theory and challenges the use of years of schooling as a proxy for skill. Through econometric analysis, historical inquiry, and global datasets, including Learning-Adjusted Years of Schooling, it reveals that educational structures, not just resources, shape productivity, adaptability, and social cohesion.
At its core, the book addresses the paradox of why rising investments in schooling have not yielded proportional gains in learning. With its integration of theory, data, and historical perspective, it serves as both a methodological blueprint and a call to rethink how we define, measure, and value learning in the twenty-first century.
&nbsp;

This book introduces edumetrics, a rigorous, interdisciplinary framework for measuring learning outcomes over time and across space. Based on Lord Kelvin’s maxim that “to measure is to know,” edumetrics redefines education as an empirical science that integrates economics, psychology, and social science to quantify cognitive and non-cognitive competencies.By harmonizing data from over 120 countries spanning half a century, the book transforms fragmented indicators into coherent measures of learning quality and equity. It critiques the limitations of traditional human capital theory and challenges the use of years of schooling as a proxy for skill. Through econometric analysis, historical inquiry, and global datasets, including Learning-Adjusted Years of Schooling, it reveals that educational structures, not just resources, shape productivity, adaptability, and social cohesion.At its core, the book addresses the paradox of why rising investments in schooling have not yielded proportional gains in learning. With its integration of theory, data, and historical perspective, it serves as both a methodological blueprint and a call to rethink how we define, measure, and value learning in the twenty-first century.

Measuring Human Capital for the 21st Century

Edumetrics

C.H.BECK Wissen

Fakten, Chancen, Risiken

Künstliche Intelligenz

Implement AI strategies to optimise performance and deliver stronger customer experiences in tourism. Technology-Led Tourism is a practical guide for managers, department heads and industry professionals who want to develop credible strategies for applying AI across the travel sector. It bridges the gap between technology and tourism, offering frameworks you can implement to enhance both operational efficiency and guest engagement. Written by Shaon Talukder, this book draws on detailed real-world examples from Expedia, Amadeus, Delta Airlines and Airbnb to show how AI principles are already reshaping travel. With insights from adjacent industries such as finance and media, it highlights proven approaches that tourism professionals can adapt to stay competitive. You'll learn how to: - Apply AI frameworks to optimize operations and decision-making - Develop data foundations that enable scalable, reliable innovation - Implement principles from other industries to strengthen strategy - Build credibility by applying actionable tools to your own context &gt;With clear models, real-world examples, and actionable guidance, Technology-Led Tourism equips mid- to senior-career professionals to implement strategies that not only improve performance but also elevate their role as informed, forward-looking leaders in the industry. Themes include: AI in tourism, travel strategy, data frameworks, operational efficiency, customer experience, innovation adoption

Leveraging AI, Data and Analytics in Travel

Technology-Led Tourism

Nutzung von Business Intelligence zur Identifikation und Entwicklung digitaler Geschäftsmodelle

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