Reference Sources in Clearing Customer Data: Conclusions from a R&D Project

Mariusz Sienkiewicz
2022 International Conference on Extending Database Technology  
The digitization and virtualization of many aspects of life pose a question for many organizations regarding customer identification. Problem is extremely important in the context of financial institutions (FI), where customer identification is related to a number of aspects of the company's operation and the products and services provided. The problem of unambiguous customer identification consists of data errors, dirty data and duplicate records describing the customer. It is estimated that
more » ... to approximately 5% of FI data are affected by errors. The scope of data collected by institutions about their clients is enormous and results from many needs. Each of these needs may require a different scope of data and expect different levels of quality. Regardless of the needs for data collection and processing, certain data is particularly important and important -we are talking about data allowing for unambiguous customer identification. In this article, we will pay special attention to the data set that allows for unambiguous customer identification.
dblp:conf/edbt/Sienkiewicz22 fatcat:uqklhozphzg3vlw5tu2djmpjt4