Add the ability to write / add custom scripts in Python and R to execute more complex data rules to perform data analysis and complete data preparation activities. Currently in IIS we use the data stage tool to execute complex data operations that transform the data in preparation to execute Data Quality rules using the Information Analyzer tool and produce a set of results that comply or don't based on the rule. There is also a 5K record limitation in Data Refinery. For DQ there are specific use cases where you need to deep dive on the full data set for specific columns that have not passed the initial level of compliance.
We would like to migrate from IIS to the Data Refinery and WKC tools to support our Chief Data Office Data Quality program.