Fehlerhafte Datensätze können die Ergebnisse einer Statistik verzerren. Um dies zu vermeiden, fanden im Zensus 2022 verschiedene Aufbereitungs-, Plausibilisierungs- und Imputationsschritte statt. Für jeden Erhebungsteil des Zensus wurde dabei das beste Set an Plausibilisierungsmethoden...

Fehlerhafte Datensätze können die Ergebnisse einer Statistik verzerren. Um dies zu vermeiden, fanden im Zensus 2022 verschiedene Aufbereitungs-, Plausibilisierungs- und Imputationsschritte statt. Für jeden Erhebungsteil des Zensus wurde dabei das beste Set an Plausibilisierungsmethoden...

Cross-border data flows are the lifeblood of today’s social and economic interactions, but they also raise a range of new challenges, including for privacy and data protection, national security, cybersecurity, digital protectionism and regulatory reach. This has led to a surge in regulation...

This paper deals with the data generation process implemented for an analysis of the impact of the 9-Euro ticket on mode choice. We discuss the assumptions made and procedures used to process a raw dataset that is based on GPS traces of individuals' movements and on survey data into the...

This paper deals with the data generation process implemented for an analysis of the impact of the 9-Euro ticket on mode choice. We discuss the assumptions made and procedures used to process a raw dataset that is based on GPS traces of individuals’ movements and on survey data into the...

The metaverse as it is currently envisioned – a persistent and immersive world based on virtual and augmented reality – is an immense business opportunity across all major sectors and industries and will further increase the volume and variety of available data. Those unlimited data streams...

The goal of this study is to assess the economic and environmental impact of edge computing on IoT at the global scale. This study focuses on "Professional IoT", which corresponds to the industrial strengths and opportunities for the EU: Automotive electronics, factory automation (including...

"Businesses typically encounter problems first and then seek out analytical methods to help in decision making. Business Analytics: Solving Business Problems with R by Arul Mishra and Himanshu Mishra offers practical, data-driven solutions for today's dynamic business environment. This text...

This book offers a thorough exploration of how technologies such as Artificial Intelligence (AI), Blockchain, Cloud Computing, and Data Analytics are impacting businesses. It also presents the real-world applications and scenarios where these technologies are driving significant changes. The...

"Tools from macroeconomics and finance to incorporate the central role that data plays in the economy. The most valuable firms in the global economy are valued largely for their data. Amazon, Apple, Google, and others have proven the competitive advantage of a good data set. And yet despite the...

The focus of the research study is to investigate and analyses the current data processing and analytics issues in health focusing in diabetes data order to make sense of the data and use it to improve the health system. Within the investigation of the set of data from the ministry of health of...

Die amtliche Statistik verwendet die Merkmale Geburtsstaat und Geburtsort aus dem Ausländerzentralregister. Die Merkmale werden im Verwaltungskontext jedoch unvollständig (Geburtsstaat) beziehungsweise unstrukturiert als Freitextangabe (Geburtsort) und ohne Plausibilitätskontrollen erhoben....

Personal Information Management Systems (PIMS) seek to empower users by equipping them with mechanisms for mediating, monitoring and controlling how their data is accessed, used, or shared.

On February 23, 2022, the European Commission presented a proposal for the Data Act. This regulation is intended to regulate access to and use of data in the European Union in the future. It includes requirements for data transfer to users of products and services that produce data, to...

In May 2021, the UK National Health Service (NHS) proposed a scheme-called General Practice Data for Planning Research (GPDPR)-for sharing patients' data. Under that system, a patient who does not wish to participate must actively opt out of their data being shared with third parties for...

Im Zuge der fortschreitenden Digitalisierung steigt die Menge an Daten, die u. a. durch Maschinen, Sensoren oder Webseiten entstehen und systematisch gespeichert werden können, rasant an. Damit steigt auch das unternehmerische Potenzial, Daten gewinnbringend für die Entwicklung neuer oder die...

The purpose of this study is to provide structured, topical and representative analysis of personal data sharing preferences in the Czech Republic. Within the context of personal data sharing and protection, we focus on profiling individuals who voluntarily share their personal data with...

"Systems Engineering is a natural tool for business decisions. But no one uses it. This is because it's rare for someone with both sets of degrees and experience (business and systems engineering) to become successful without having an MBA, until Joshua Jahani. Business owners and educators need...

Discover how to develop and implement an HR analytics system that benefits employees, as well as your organization The potential of HR analytics is a major discussion among scholars, practitioners, thought leaders, and technology vendors, with companies like Amazon, Apple, Google, and Meta...

"Why did we write this book? We wanted to help financial experts and investors to understand the state-of-the-art of artificial intelligence and machine learning in finance. And so, what is artificial intelligence? The foundations of artificial intelligence lie in the human desire to automate....

"Marketers are storytellers, they write content, marketing strategies and devise internal communications, but unless these stories are evidence-based, they won't be believable or truly persuasive. Stories centred on robust evidence and credible data can withstand challenge, provide meaning,...

Fehlende Werte in den Erhebungsdaten stellen für die amtliche Statistik eine Herausforderung dar. Ein falscher Umgang mit ihnen kann die Ergebnisse verzerren. Zudem machen große Datenmengen und hohe Anforderungen an die Aktualität der Daten zunehmend automatisierte Plausibilisierungs- und...

This study evaluates the geomorphometric parameters of the topography in Ethiopia using scripting cartographic methods by applying R languages (packages 'tmap' and 'raster') and Generic Mapping Tools (GMT) for 2D and 3D topographic modelling. Data were collected from the open source repositories...

The recent digitization of complete count census data is an extraordinary opportunity for social scientists to create large longitudinal datasets by linking individuals from one census to another or from other sources to the census. We evaluate different automated methods for record linkage,...

Using a large longitudinal, nationally representative workplace-level dataset, we explore the productivity gains associated with computer use and organizational redesign. The empirical strategy involves the estimation of a production function, augmented to account for technology use and...

In modern times, smart cities are using advanced technology to control and coordinate business, physical, social and commercial systems to deliver quality services to their residents while ensuring the efficient use of available resources. Many large corporations, as well as government agencies,...

Fehlende Werte in den Erhebungsdaten stellen für die amtliche Statistik eine Herausforderung dar. Ein falscher Umgang mit ihnen kann die Ergebnisse verzerren. Zudem machen große Datenmengen und hohe Anforderungen an die Aktualität der Daten zunehmend automatisierte Plausibilisierungs- und...

The last 40 years have seen huge innovations in computing technology and data availability. Data derived from millions of administrative records or by using (as we do) new methods of data generation such as text mining are now common. New data often requires new methods, which in turn can...

This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some...

This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures,...