Faktorer som påverkar datakvaliteten hos affärs- och DW-system - En fallstudie från en högteknologisk industri
This thesis aims to examine how the quality of data that is entered into and retrieved from a corporate group's ERP and Data Warehouse systems can be improved. The corporate group has already taken several measures that will improve the quality of data. For instance the corporate group has updated and merged the previous ERP systems into one. At the same time the corporate group adjusted the settings in the updated ERP system, so that it will be harder to register incorrect data in the ERP system. With regards to the processes and routines, the studied department has efficient written routines and processes. These written routines and processes can be used by the employees to learn how to use the different ERP, information and DW systems through explicit knowledge. However an essential part of how the employees learn to use the different systems is by learning tacitly from other colleagues. By improving the transfer of tacit knowledge within the corporate group further the corporate groups quality of data can be increased. In order to achieve this, the thesis proposes measures to promote effective followership. Lastly the thesis presents six measures that can be used by organizations to improve data quality.