Reltio’s Approach to Data Quality:
From Reactive to Proactive

Poor data quality harms business outcomes

Every business, regardless of size or industry, needs to be able to rely on the accuracy of its data. The results of poor quality data are many: poor business decisions, revenue leakage, and high customer turnover. Not to mention inaccurate analyses, poor productivity, higher expenses, missed opportunities, and compliance violations. Poor data quality costs businesses an average of $15 million each year, according to Gartner—over $3.1 trillion in the aggregate in the US alone, estimates IBM.