The importance of data quality is often underestimated in IT projects. This doesn’t only become apparent during initial migration, but can require attention at a structural level as well.
Consider, for instance, mapping the data between two separate systems, or receiving invalid data from legacy systems with limited validation capability. Failing to improve data quality ‘up front’ means invalid data may be carried throughout the entire process, potentially leading to invoicing errors and other problems.
With this in mind, we have developed the Abillity® Transformation module: a data pipeline where incoming data is monitored for quality (and improved if necessary), and where raw data can be ‘enriched’ in readiness for subsequent stages in the order-to-cash process.