Information and Data Quality States Model to Support Process-Aware Information Systems

Abstract

The business productivity depends on the effective and efficient use of technological resources. Current business practices demonstrate the relevance of the effort to align three important organizational intangible assets: Information; Information Systems and Processes, seeking the optimization of related risks. Specifically, Information Systems must perform operations consistent with the business processes and models standardized in an organization or required in compliance with current legislation. The growing relevance of these requirements is realized in organizations that are defining their processes with quality and security parameters. The organizations are carrying out new information systems projects whose data transactions are aligned to non-functional requirements related to process management and corporate governance. In this sense, the researches in Process-aware Information Systems show the demand for adequate and flexible information quality model to fulfill the requirements of process quality. Process Mining, Six Sigma program and other quality analyzes procedures need increase with the improvement of the treatment of information. Considering that an insufficient data quality can cause a harmful effect in a process, this work presents a model of states and transitions for the quality dimensions with an individual focus on each identifiable datum in an information. This quality states model allows refined information control and monitoring in a bottom-up approach which can be used in Information Systems to prevent data with inadequate levels of quality being used in processes.