Many researchers and practitioners have been attracted to improve data quality due to its monumental importance as a key success factor. Mathematical and statistical models have been deployed to information systems to introduce constrain and transaction based mechanisms to prevent data quality related problems. Entire management of the process and roles involved in data generation has also been scrutinized. Vast amount of knowledge base progressed in this area are mostly limited from practical perspective. Quality related meta data is absent from most information systems. Neither process mapping nor data modelling provides sufficient provision to measure quality or certification of data in the information systems. Furthermore, on-going monitoring of data for quality conformance through a separate process is expensive and time consuming. Recognising this limitation and aiming to provide a practical-orient comprehensive approach, I propose a process centric quality focused solution incorporating data product quality, conformance monitoring and certification. I base my work on DQXML developed by Ismael Caballero and deploy rigour of design science to construct InfoGuard. InfoGuard consists of DQXML incorporating quality meta data and an independent data quality monitor that provides certification of data through a rule based process centric framework for on-going data quality monitoring.