This demonstration illustrates how a comprehensive database reconciliation
tool can provide the ability to characterize data-quality and data-reconciliation
issues in complex real-world applications. Telcordia’s data reconciliation
and data quality analysis tool includes rapid generation of appropriate
pre-processing and matching rules applied to a training set created from
samples of the data. Once tuned, the appropriate rules can be applied efficiently
to the complete data sets. The tool uses a modular Java-based architecture
that allows for customized matching functions and iterative runs that build
upon previously learned information. Telcordia has been able to provide
significant insights to clients who recognize that they have data reconciliation
problems but cannot determine root causes effectively when using currently
available off-the-shelf tools. This report gives a step by step demonstration
of the tool.