Early Risk Identification
With miFIN™ Data Quality & Deduplication solution
miFIN™ Data Quality & Deduplication
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.
Why miFIN™ Data Quality & Deduplication Software?
First time right’ philosophy
miFIN™’s data quality filter and deduplication engine corrects data when it’s being entered into the system.
Maintain customer relationships
Duplicate entries mean a customer gets the same mailers from you multiple times. With the miFIN™ deduplication software, you bring down costs while ensuring that customers are not bombarded.
Multiple solutions rolled into one
From improving the quality of your data to helping you remove duplicates or identifying disguised identity frauds, miFIN™ Deduplication software does it all in one solution. With its parameterized design, you can run it online or in batch mode,
Proven for volumes
miFIN™’s scalable architecture can sift through millions of data records in real time to give you the power of deduplication rather than forcing you to adapt to offline business processes.
Proprietary algorithms for Indian demographics
Our research on Indian names and addresses has helped us develop a proprietary engine that is far more powerful and suited to parse through different variants of same Indian demographic to show them as relevant matches.