Most businesses that run on large volumes of data realize that data doesn’t always translate into information or insight, and this is because of quality issues. Data quality has severe direct and indirect financial impact on a business. Duplicate records leading to multiple mailers being sent out to the same customer, or the inability to catch a potential fraud customer even when details exist are some ways that a business can be affected.
As the name suggests, miFIN™ Data Quality & Deduplication software has two logical components – a Data Quality filter and a Deduplication Engine. The two combine with other features to address data quality issues in a systematic manner. The data quality filter standardizes, refines, enriches and validates the data so that anomalies are removed. The deduplication engine allows for a highly configurable score based rule definition and search algorithms to catch even well-disguised matches. An insightful reporting and analysis module facilitates comparative studies of all matched records. It works on the philosophy of ‘First Time Right’ where it tries and corrects the data at the time of being entered into the system.