Traditionally, data quality has been measured independently of the context in which data is produced and used, focusing instead on stored data and collecting metrics on fields or columns. This considerably limits the capability of these systems to provide the high-quality data that is required by data consumers within an organization. This situation has led to considerable debate amongst leaders in the data analytics industry concerning use of existing data quality tools verses building a custom data quality platform.
For over a decade, RS Software has operated and managed the IT system’s infrastructure, application and networks of its leading brands to help them achieve maximum efficiency, security, quality and zero downtime. In parallel, we have provided significant value adds including data quality services for payment domain customers to use to measure and maximize their return on investment. Our experience includes implementing our own data quality platform that we have enriched over time to fit into a variety of client ecosystems. It can also be adapted to fit on existing big data platforms and can incorporate a variety of tools including Abinitio, Trillium, and Talend.