The article presents a conceptual model for data quality management treated as the usability or the compliance of the data product with its specification. The proposed model refers to the well-known TDQM model of Wang based on the Deming's quality improvement cycle. However, the TDQM model does...

Organizations are increasingly introducing data science initiatives to support decision-making. However, the decision outcomes of data science initiatives are not always used or adopted by decision-makers, often due to uncertainty about the quality of data input. It is, therefore, not surprising...

Purpose: The technological developments have implied that companies store increasingly more data. However, data quality maintenance work is often neglected, and poor quality business data constitute a significant cost factor for many companies. This paper argues that perfect data quality should...

Die redundante, inkonsistente und unvollständige Bereitstellung von Daten beeinträchtigt die Ausführung von Geschäftsprozessen, und damit den Geschäftserfolg. Gleichzeitig erfordern sich ändernde unternehmensinterne und -externe Rahmenbedingungen eine flexible Bereitstellung von Daten im...

The rich do not always get richer. Explaining this probabilistically resolves a 100-year-old puzzle, opening up opportunities for smart beta portfolios, an architecture of complexity and eventually an architecture of data that could become Web 4.0

We provide an introduction and overview to the field of risk management for interested non-specialists, with a particular focus on the data and information requirements. Data for risk management come in many forms, and the applications of risk information for managing credit, market,...

Daten sind die strategische Ressource des 21. Jahrhunderts. Es findet kein Geschäftsprozess, keine Kommunikation zwischen Geschäftspartnern, keine Wertschöpfung statt, ohne dass die involvierten Personen, Maschinen und IT-Systeme Daten nutzen, erzeugen oder verändern. Trends wie die...