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Malessa L: Big Data im
Privatwirtschaftlichen Sektor. Chancen,

Big Data im Privatwirtschaftlichen Sektor. Chancen, Risiken und Herausforderungen für Unternehmen

Tools and Concepts in a Central European Context

Management and Cost Accounting

nuggets

Technische Innovationen wie das Internet der Dinge, Cloud Computing und Big Data revolutionieren nicht nur die Produktion und die Nutzung von Gütern. Sie verändern auch das Marketing, denn sie ermöglichen eine nie dagewesene Vernetzung, Datenanalyse und Interaktivität.
Das zeigt sich eindrucksvoll am Beispiel Digitaler Zwillinge, die - als virtuelles Abbild eines Produkts - die reale mit der digitalen Welt verbinden. Unternehmen geben sie die Möglichkeit, smarte, individualisierte Produkte und Services zu gestalten, die sich individuell auf die Nutzerbedürfnisse einstellen. Digitale Zwillinge sind der Schlüssel, um innovative Produkte effizient zu entwickeln, zu überwachen, zu steuern und zu optimieren. Zudem können sie auch bei der Prognose von Kundenverhalten helfen.
Kerstin Pezoldt erklärt in diesem nugget-Band kompakt und präzise, was Digital Twins im Produktlebenszyklus leisten und welche Rolle sie bei der Vermarktung von Konsumgütern spielen, etwa bei PKWs und Smartphones aber auch bei Haushaltsgeräten und nicht zuletzt bei sog. Smart-Home-Lösungen.

Definition, Funktionsweise und Nutzungsoptionen

Digitale Zwillinge im Marketing

Midas Sachbuch

Eine Krise kann jeden Menschen und jedes Unternehmen treffen - jederzeit. Sie können Ihre Arbeit oder Ihren Partner verlieren, ein Unternehmen kann seinen Markt einbüßen oder einfach den Fokus aufgeben. Wie die jüngste Vergangenheit gezeigt hat, kann auch die Welt, wie wir sie kennen, aus den Fugen geraten. Solche Situationen sind beängstigend und ungewohnt. Sie können aber auch neue Chancen eröffnen. 

Wir können Krisen in unserem Leben nicht vollständig vermeiden, aber wir können lernen, uns neu zu orientieren und von einer Krise zu erholen. Wir sind in der Lage, uns zu wandeln, besser oder zumindest anders zu werden. Darin liegt die eigentliche Chance. Der Schlüssel dazu ist in Fallstudien, psychologischer Forschung, in Unternehmensgeschichten, persönlichen Anekdoten und historischen Dokumenten verborgen. 

In 'RESET' sucht Magnus Lindkvist als interdisziplinärer Forscher nach diesen Hinweisen. Er präsentiert einen dringend benötigten Leitfaden, der allen Menschen und Organisationen, die sich neu ausrichten, erholen und verbessern wollen, wertvolle Einsichten, praktische Werkzeuge und neuen Mut bietet.

So gelingt der Neustart nach Krisen

RESET

Tech, War and the Fight for Humanity

Thundercloud

Asset Analytics

This book explores the transformative potential of business analytics in the modern business landscape, offering a practical guide to leveraging data for strategic decision-making. With companies generating vast amounts of data, there is a growing need for professionals who can interpret and analyze this information to derive actionable insights. This book equips readers with essential tools and techniques to become proficient in business analytics, emphasizing the application of data to solve real-world business problems and drive profitability. Encompassing various facets of a business, including supply chain analytics, HR analytics, influencer networks, Impact of machine learning and AR/VR, sensitivity analysis, data story telling etc. and even empowering customers with the help of data driven approach, this book tries to add value in managerial decision making. &nbsp;Focusing on the latest trends and advancements, this book demonstrates how analytics can provide a competitive edge by converting large datasets into meaningful insights. Through real-world examples and case studies, it shows how businesses can enhance market share and deliver greater returns to shareholders. Designed for business professionals, analysts, and decision-makers, this book is an essential resource for anyone looking to improve their company’s performance or advance their career with cutting-edge analytical skills.

Sharpening beyond Data

Business Analytics and Managerial Decision Making

Advanced technologies like Artificial Intelligence, the Internet of Things, Big Data and Cyber Physical Systems are not only reshaping business operations but also redefining competition across industries. 
Integrating 4IR and 5IR Technologies for Digital Business Innovation provides an understanding of the characteristics and implications associated with Industry 4.0 and 5.0 technologies. It also offers frameworks for integrating these technologies into business operations to foster innovation, enhance efficiency, and gain a competitive edge. Furthermore, the book offers insights and frameworks for integrating these technologies into business operations to foster innovation, enhance efficiency, and gain a competitive edge and investigates the paths of these technologies and their potential impact on various industries. 
Perspectives from a range of experts in divergent fields makes this an invaluable resource suitable for various audiences: from business executives and entrepreneurs to scholars and students alike this publication serves as a reference material that equips them with knowledge and tools necessary for thriving in the era of intelligent technology.

Integrating 4ir and 5ir Technologies for Digital Business Innovation

'An excellent look at what Palantir does, as well as a fascinating insight into the mind of its eccentric chief executive' TelegraphPalantir Technologies is the most interesting company in the world -&nbsp;and the most controversial.&nbsp;Palantir builds data integration software: its technology ingests vast quantities of information and quickly identifies patterns, trends and connections that might elude the human eye. Founded in 2003 to help the U.S. government in the war on terrorism - an early investor was the CIA - Palantir is now a $400 billion global colossus whose software is used by major intelligence services (including the Mossad), the U.S. military, the National Health Service in England, and corporate giants like Airbus and BP. From AI to counterterrorism to climate change to immigration to financial fraud to healthcare to the future of warfare, the company is at the nexus of the most critical issues of the twenty-first century.&nbsp;Its billionaire CEO, Alex Karp, is a distinctive figure on the global business scene. A biracial Jew who is also severely dyslexic, Karp has built Palantir into a tech giant despite having no background in either business or computer science. Instead, he's a trained philosopher who has become known for his strongly held views on a range of issues and for his willingness to grapple with the moral and ethical implications of Palantir's work. Those questions have taken on added urgency during the Trump era, which has also brought attention to the political activism of Karp's close friend and Palantir co-founder Peter Thiel.&nbsp;In The Philosopher in the Valley, journalist Michael Steinberger is the first to tell the story of Alex Karp and Palantir from the beginning. Steinberger offers new biographical details and a rich psychological portrait of the man leading one of the world's most secretive companies. Full of revelations, this is an urgent and insightful book about technological power, the surveillance state and the future we all face.

Alex Karp, Palantir and the Rise of the Surveillance State

The Philosopher in the Valley

The Fight for the Future of Work

We Are Not Machines

Precarious Futures: Crime, Technology and the Web explores rapidly changing social relationships within an increasingly interconnected digital world. Challenging conventional understandings of cybercrime and questioning the continued adequacy of established criminological frameworks, it argues, inter alia, that relative deprivation, reworked as a form of post-industrial precarity, provides a powerful foundation for understanding crime and deviance in a hyper-connected, hyper-commercial neoliberal society. Drawing on empirical research, social theory, and contemporary debates on artificial intelligence, big data, surveillance, hacktivism, and digital power, the book examines how the Web has transformed opportunities for crime while reshaping the practices of governance and prediction. In doing so, Hamerton and Webber advance new theoretical models: temporal relative deprivation; the metaopticon; techniques of normalisation; and the precariousness of predictive systems, to explain the dynamics of crime and social control in an age of pervasive surveillance and artificial general intelligence. Precarious Futures advances a transdisciplinary critical digital criminology for understanding the uncertainties of the digital age. It will be essential reading for scholars and students of criminology and sociology, as well as researchers and practitioners in cyber security, computer science, artificial intelligence studies, and related fields.Christopher Hamerton is Programme Director in Criminology and Law at the School of Policy &amp; Global Affairs, City St Georges, University of London, UK.Craig Webber is Associate Professor in Criminology in the Department of Sociology, Social Policy and Criminology at the University of Southampton, UK.

Crime, Technology and the Web

Precarious Futures

This book explores how organizations can transform marketing and management by placing customer well-being at the center of value creation. As AI, data analytics, and digital technologies continue to reshape markets and society, success increasingly depends not only on customer satisfaction but also on richer customer experiences, human-centered innovation, and sustainable relationships.Moving beyond traditional marketing approaches focused on transactions, segmentation, and recommendation systems, the volume argues that customers should be viewed as active participants in value co-creation. The emphasis shifts from predicting purchasing behavior to understanding how products, services, and experiences contribute to personal development, quality of life, and overall well-being.Drawing on insights from service informatics, customer experience research, data science, and artificial intelligence, leading scholars and practitioners demonstrate how organizations can leverage digital technologies and explainable AI to design experiences that create both economic and societal value. The chapters further illustrate how customer experiences accumulate over time to shape consumer well-being and long-term organizational success.Offering a forward-looking perspective on the next generation of marketing, this volume provides valuable insights for researchers, graduate students, and professionals in marketing, management, information systems, service science, artificial intelligence, and consumer behavior who seek to understand the evolving relationship between technology, customer experience, and human well-being.

Based on Understanding Characteristics of Customer Well-being

The Creation of User Experience and Evolution of Management

Praxisorientierte Unternehmensführung im Ingenieur- und Architekturbüro

International Series in Operations Research & Management Science

This book presents a rigorous, practitioner-ready framework for determining when interventional causal claims can be validly drawn from observational data. By integrating potential outcomes (PO), structural causal models (SCMs), directed acyclic graphs (DAGs), quasi-experimental and longitudinal designs, information-theoretic approaches, and modern machine-learning methods with decision-analytic principles, it identifies necessary conditions for each step of the causal inference process, from defining estimands and identifying causal effects to study design, measurement, estimation, interpretation, robustness, and external validity. The framework is operationalized through practical checklists, tables, diagnostic and falsification tests, and AI-assisted tools, making it accessible across fields such as epidemiology, environmental and occupational health, and regulatory risk analysis. Designed to meet the needs of professionals making high-stakes decisions based on nonexperimental data, the book addresses the lack of clear, testable criteria for credible causal inference. Real-world examples throughout the book illustrate diagnostics, falsification tests, and robustness checks, linking evidence directly to decision-making. Bridging multiple causal frameworks and modern machine-learning methods, it equips readers to assess when data support cause-and-effect conclusions, supporting more responsible, evidence-based policy and risk management.The book offers health risk analysts, epidemiologists, and policy professionals a practical guide to valid causal inference from observational data. It is also ideal for graduate students and workshop participants in data science, decision analysis, risk analysis, and AI/ML applications.

Valid Causal Inference from Observational Data

Big Data im Privatwirtschaftlichen Sektor. Chancen, Risiken und Herausforderungen für Unternehmen

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