Can Service-Oriented Architecture Improve Data Quality?

• Activity Number: 191
• Type: Contributed
• Date/Time: Monday, July 30, 2012 : 10:30 AM to 12:20 PM
• Sponsor: Section on Statistical Consulting
• Author(s): Jean Hosseini and Nasser Fard*+
• Companies: Intelekt, Management and Technology and Northeastern University
• Keywords: organization ; data ; service ; architecture ; quality ; application

Abstract

Service oriented architecture (SOA) is a new architectural style that allows flexibility and reuse of services and capabilities in organizations. In an SOA environment, network resources can be made available, as independent services that can be accessible without knowledge of their underlying platform implementation. If data quality issues are present, organizations can pursue preventive data quality approaches that focus on the development of new data sources and integration of services. They can also pursue detective data quality approaches that focus on identification and remediation of poor data quality. Data quality is defined as a measure of how well the data satisfies the requirements of its consumers. Some typical metrics components include: accuracy/precision, completeness, reliability, availability, timeliness/freshness, consistency, and uniqueness. This paper presents different approaches of the architecture application principles related to services that can be applied to address data quality. The SOA provides an opportunity to leverage services to improve quality.