Messy data is the number one hurdle companies face in turning their data from a cost centre into a revenue generator. While organisation-wide data cleaning and data quality are long-term projects, we reduce the time it takes from years to weeks by focusing solely on the data needed for the customer-facing data product, and leveraging our data domain expertise.

Notable wins:

• Enabling a fashion eCommerce company to build a market benchmarking product for its suppliers by matching millions of different product names across suppliers.
• Building a data model for a financial data provider's messy schema in days.