Addressing data quality requires an enterprise approach. A company’s data and its systems are distributed. The data comes in every conceivable format. Some systems process huge numbers of records or transactions each day. Some systems are batch, some are real-time. Many are built with Ab Initio. Most are legacy. Only a general-purpose approach can address data quality in such a wide variety of situations.
Ab Initio’s approach to this challenge is comprehensive. It is based on a powerful customizable design pattern for an end-to-end data quality program. The steps in this design pattern are:
Ab Initio’s data quality design pattern is based on a set of powerful, reusable building blocks. These building blocks can be customized and integrated into all aspects of a production environment. Because these building blocks all run on the Co>Operating System, they can be deployed across the enterprise.
Finally, Ab Initio technology supports collecting, formatting, and storing information about individual data quality problems, for root cause analysis and to inform the design of solutions to both rare, “one of a kind” issues as well as systemic data quality problems.
Learn more about Ab Initio’s approach to Data Quality.