This paper presents a framework for assessing data quality focusing on how data supports the business. The framework can be used as a compliment to software architecture analysis. The framework has been customized for an insurance company by weighting the dimensions of data quality and by relating data quality to the effect it impose on the enterprise’s business. The framework was used for an assessment on an application that has two user interfaces. The assessment showed that the users perceive the data quality differently for the two interfaces even though the same data is used. The assessment also results in proposals for improvements (both architectural and organizational) and knowledge on how developers and users perceive the data qual...
Companies today experience problems with poor data quality in their systems. Because of the enormous...
Companies today experience problems with poor data quality in their systems. Because of the enormous...
Abstract. One of the major causes for the failure of information systems to deliver can be attribute...
The goal of this thesis is to produce a tool that allow fast, conclusively calculate impacts of prob...
The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring ...
High quality data is an important asset in numerous business and organizations. The quality of data,...
High quality data is an important asset in numerous business and organizations. The quality of data,...
Data and information obtained from data analysis is an essential asset to construct and support info...
The subject of data quality has become increasingly important in recent years as capital markets evo...
The relation between data quality and decision outcomes has been studied extensively in information ...
As survival of companies is more judged by the ability to extract the right information within their...
Abstract — It is now assumed that poor quality data is costing large amounts of money to corporation...
Data quality is often described as “data that is fit for use by data consumers”. The development of ...
The main objective of this research is to understand whether or not previous Data Quality (DQ) frame...
Companies today experience problems with poor data quality in their systems. Because of the enormous...
Companies today experience problems with poor data quality in their systems. Because of the enormous...
Companies today experience problems with poor data quality in their systems. Because of the enormous...
Abstract. One of the major causes for the failure of information systems to deliver can be attribute...
The goal of this thesis is to produce a tool that allow fast, conclusively calculate impacts of prob...
The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring ...
High quality data is an important asset in numerous business and organizations. The quality of data,...
High quality data is an important asset in numerous business and organizations. The quality of data,...
Data and information obtained from data analysis is an essential asset to construct and support info...
The subject of data quality has become increasingly important in recent years as capital markets evo...
The relation between data quality and decision outcomes has been studied extensively in information ...
As survival of companies is more judged by the ability to extract the right information within their...
Abstract — It is now assumed that poor quality data is costing large amounts of money to corporation...
Data quality is often described as “data that is fit for use by data consumers”. The development of ...
The main objective of this research is to understand whether or not previous Data Quality (DQ) frame...
Companies today experience problems with poor data quality in their systems. Because of the enormous...
Companies today experience problems with poor data quality in their systems. Because of the enormous...
Companies today experience problems with poor data quality in their systems. Because of the enormous...
Abstract. One of the major causes for the failure of information systems to deliver can be attribute...