IEI is pleased to announce its latest technology partnership with Austin-based data matching firm Springcreek Systems. Founded by two former Dell employees who noted the company’s struggle with matching issues, Springcreek offers an effective tool for matching and deduplicating data.
With Springcreek’s matching system, IEI now offers quicker, more accurate data disambiguation. Recently, we cleaned some mailing lists for a client concerned about duplicating marketing efforts and losing credibility with leads, and were able to deliver a clean file to our client within 24 hours.
According to Springcreek, “improving data quality by just 10% can increase … revenue by up to 49%”. In spite of that, most companies see outsourcing data disambiguation as expensive, and keep it in-house. Homegrown solutions often involve inefficient Excel lookups which, unlike Springcreek’s took, can’t do partial matching. In-house processes also add work hours and the possibility of human error to the equation.
At IEI, we often see the need for data disambiguation, especially as databases continue to grow. Matching data sets is a little different for everyone, but some issues exist across industries. Generally, data comes from different sources, such as multiple spreadsheets or different CRMs. It may even be formatted differently within the same document. Springcreek’s tool handles all these situations quickly. We’re excited to add a swift de-duplication step to our arsenal of data maintenance tools.
