Assessing and improving the quality of data stored in information systems are both important and difficult tasks. For an increasing number of companies that rely on information as one of their most important assets, enforcing high data quality levels represents a strategic investment aimed at preserving the value of those assets. For a public administration or a government good data quality translates into good service and good relationships with the citizens. Achieving high quality standards, however, IS a major task because of the variety of ways that errors might be introduced in a system, and the difficulty of correcting them in a systematic way. Problems with data quality tend to fall into two categories. The first category is related ...
Maintaining the quality of data in information systems is an important issue that all organizations ...
Data quality is crucial in today’s business processes, as it is generally associated with the set of...
Purpose: The technological developments have implied that companies store increasingly more data. Ho...
Assessing and improving the quality of data stored in information systems are both important and dif...
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-sca...
Information systems have been rapidly evolving from monolithic/ transactional to network/service bas...
Although managers consider accurate, timely, and relevant information as critical to the quality of ...
Data quality is a problem studied in many different research disciplines like computer science, stat...
Data quality is a strategic matter in the context of e-government as the integration of services req...
It is now assumed that poor quality data is costing large amounts of money to corporations all over ...
By its nature, the term “data quality” with its generic meaning “fitness for use” has both subjectiv...
Abstract. To gain knowledge out of your data, your data has to be of high quality. Bad data quality ...
Organizations face many challenges in maintaining the quality of data in their information systems. ...
Abstract — It is now assumed that poor quality data is costing large amounts of money to corporation...
Data Quality has become the base for any analytical operation or modelling. Poor Quality of data can...
Maintaining the quality of data in information systems is an important issue that all organizations ...
Data quality is crucial in today’s business processes, as it is generally associated with the set of...
Purpose: The technological developments have implied that companies store increasingly more data. Ho...
Assessing and improving the quality of data stored in information systems are both important and dif...
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-sca...
Information systems have been rapidly evolving from monolithic/ transactional to network/service bas...
Although managers consider accurate, timely, and relevant information as critical to the quality of ...
Data quality is a problem studied in many different research disciplines like computer science, stat...
Data quality is a strategic matter in the context of e-government as the integration of services req...
It is now assumed that poor quality data is costing large amounts of money to corporations all over ...
By its nature, the term “data quality” with its generic meaning “fitness for use” has both subjectiv...
Abstract. To gain knowledge out of your data, your data has to be of high quality. Bad data quality ...
Organizations face many challenges in maintaining the quality of data in their information systems. ...
Abstract — It is now assumed that poor quality data is costing large amounts of money to corporation...
Data Quality has become the base for any analytical operation or modelling. Poor Quality of data can...
Maintaining the quality of data in information systems is an important issue that all organizations ...
Data quality is crucial in today’s business processes, as it is generally associated with the set of...
Purpose: The technological developments have implied that companies store increasingly more data. Ho...