When users see dirty transaction data, they don’t get upset with the vendor or the card provider. They get upset with you. They dial up your call center and drain your employee’s time, trying to figure out what the transaction refers to.
How do you take garbage data and turn it into something users can actually make sense of?
In this webinar, you’ll learn how to:
- Clean dirty data descriptions such as “CSTxx 04ROTER XXX726” so users just see the company name. (In this case, “Costco.”)
- Categorize all transactions with the greatest accuracy on the market — a full 30 percentage points more accurate than the closest competitor
- Classify transaction data by type (such as fee, bill pay, remote deposit, and more)
You’re sitting on a goldmine of data, but if the data isn’t clean, categorized, and classified, it’s no good to you or your users.