Data Quality Management in Corporate Practice

Abstract

The 21st century is characterized by a rising quantity and importance of Data and Infor-mation. Companies utilize these in order to gain and maintain competitive advantages. Therefore, the Data and Information is required both in high quantity as well as quality. But while the amount of Data collected is steadily increasing, this does not necessarily mean the same is true for Data Quality. In order to assure high Data Quality, the concept of Data Quality Management (DQM) has been established, incorporating such elements as the assessment of Data Quality as well as its improvement. In order to discuss the issue of Data Quality Management, this paper pursues the following goals:

(1) Systematic literature search for publications regarding Data Quality Management (Scientific contributions, Practice reports etc.) (2) Provision of a structured overview of the identified references and the research mate-rial (3) Analysis and evaluation of the scientific contributions with regards to methodology and theoretical foundation (4) Current expression of DQM in practice, differentiated by organization type and in-dustry (based upon the entire research material) as well as assessment of the situation (how well are the design recommendations based upon research results) (5) Summary of unresolved issues and challenges, based upon the research material