WebQual is an instrument for assessing the quality of Internet sites from the perspective of the customer. Earlier versions of WebQual focused on information and interaction quality. This paper reports on a new version of WebQual that incorporates three quality dimensions: information quality, interaction quality, and site design quality. WebQual is applied in the domain of Internet auctions an...

Executive Summary/Abstract: Data Diagnosis a practical “RAD” approach to data quality from several years working with tricky telecommunications data. The lessons learned are applicable across any data in any sector. This presentation shares how these tactics can address gaps in data knowledge, ensure early wins, at the same time underpinning a “TQM” approach to data quality across an organizati...

• Introduction to Galaxy • Galaxy data quality program goals • Galaxy data quality program current components – Maintaining dimension tables and reviewing the integrity of primary and foreign keys – Monitoring, measuring and reporting on Galaxy’s data quality – Implementing improvements based on data quality findings • Business environment success factors • Throughout the presentation, we will ...

Decision making activities stress data and information quality requirements. The quality of data sources is frequently very poor, therefore a cleansing process is required before using such data for decision making processes. When alternative (and more trusted) data sources are not available data can be cleansed only using business rules derived from domain knowledge. Business rules focus on fi...

Information Systems (IS) college students are not prepared for the demands of improving information quality in our databases and data warehouses. Information Quality (IQ)/Data Quality (DQ) in IS curricula tends to be subject to individual faculty preferences. Given the significance and pervasiveness of DQ and the lack of focused attention to DQ/IQ in college curricula, I created a Data Quality ...

The value of management decisions, the security of our nation, and the very foundations of our business integrity are all dependent on the quality of data and information. However, the quality of the data and information is dependent on how that data or information will be used. This paper proposes a theory of data quality based on the five principles defined by J. M. Juran for product and serv...

Presented is the Combined Conceptual Life Cycle (CCLC) Model of Information Quality (IQ). The CCLC conceptualises information/data quality as being a highly relative construct, best understood in terms of sixteen IQ dimensions housed within four broad IQ categories: namely; Intrinsic IQ, Representational IQ, Interactional IQ, and Contextual IQ. The four categories themselves are seen as falling...

Awareness of data and information quality issues has grown rapidly in light of the critical role played by the quality of information in our data-intensive, knowledge-based economy. Research in the past two decades has produced a large body of data quality knowledge and has expanded our ability to solve many data and information quality problems. We present an overview of the evolution and curr...