: Revenue Assurance describes a methodology to increase a company’s income by determining where revenue gets lost, and to maximize their profits by eliminating revenue leakage an...
The measurement of the Data Quality is or should be a critical issue for Web portal users and developers. For the former, the evaluation of data quality is necessary as it ensures ...
The quality of data is a key factor that determines the performance of information systems, in particular with regard (1) to the amount of exceptions in the execution of business p...
The importance of metadata has been broadly referred in the last years, mainly in the field of data warehousing and decision support systems. Contemporarily, in the adjacent field...
We address the fundamental question: what does it mean for data in a database to be of high quality? We motivate our discussion with examples, where traditional views on data quali...
Data anonymization techniques based on enhanced privacy principles have been the focus of intense research in the last few years. All existing methods achieving privacy principles ...
Multi-channel information systems involve data redundancy, which, in turn, requires the implementation of synchronization mechanisms among overlapping databases. This need for peri...
Cinzia Cappiello, Chiara Francalanci, Barbara Pern...
In smart item environments, multitude of sensors are applied to capture data about product conditions and usage to guide business decisions as well as production automation proces...
Anja Klein, Hong Hai Do, Gregor Hackenbroich, Marc...
Abstract. With more and more electronic information sources becoming widely available, the issue of the quality of these often-competing sources has become germane. We propose a st...
Research and products for the integration of heterogeneous legacy source databases in data warehousing have addressed numerous data quality problems in or between the sources. Suc...
Matthias Jarke, Christoph Quix, Guido Blees, Dirk ...