Business Problem: The client needed to implement a Data Quality management system for continuous monitoring of data quality
Our Solution: The work involved defining data quality rules and rule sets to profile and check data against defined business logic.
The project involved understanding of the business logic and defining rules to check the data for adherence by executing the rules through jobs. The project involved creation of sequence of jobs as part of rule set to check business conditions.
Also, a generic shell script program was developed to automatically add rules and bindings and check data for adherence
Technology: : IBM Infosphere Information Analyzer, Unix shell script, Oracle.