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Parse data into component parts - and build the foundation for more complex, high-value data improvement projects.
DataFlux addresses a critical element of the data quality process: breaking apart single fields that contain multiple values to unlock the potential of data. DataFlux's natural language parsing engine is able to comprehend data values and its intent, and then split the information in long text strings into individual fields.
Identifying address information, measurements, quantities, packaging information, manufacturer names or product ID's present in one field requires just a few minutes of customization using DataFlux's patent-pending customization application. Through point-and-click workflows, your domain experts can transfer their knowledge to the DataFlux rules-based parsing engine to facilitate automated data comprehension.
Whether you need to reconcile data patterns, extract a specific piece of data out of millions of records or simply parse an entire field into separate fields, DataFlux data quality capabilities can automate all of your parsing requirements.

