Category: Field Data Scientists
What Is a Standard Data Evaluation?
As one of our primary job functions, the Field Data Science (FDS) team works with our sales team and potential customers to assess the best way to prove the value of using Ekata in their production workflow through a standard data evaluation. One of the ways to show this value is through an offline historical […]
Fraudsters Are Overtaking Your Verification Methods
Many websites depend on one-time password (OTP) verification to fight fraud and ensure contactability in their account sign-up workflows. More sophisticated platforms may use static metadata about phones, such as line type, to block bad actors. Fraudsters have found new ways to acquire more standard phone numbers where static information looks like a real phone […]
Using Machine Learning for Rule Building
Many of our customers use rules in their fraud workflows to identify good and bad actors. These rules, which are combinations of conditional statements that operate as data filters, can be very effective, but formulating “the right rule” can be difficult. That’s where the Ekata Field Data Science (FDS) team comes in to help customers […]
Fraud in the Buy Now Pay Later Industry
Buy Now, Pay Later (BNPL) is not a new idea, but with the boom in e-commerce during the Covid-19 pandemic, BNPL has exploded onto the payments scene as a major industry. The idea is essentially a simplification of the credit process by providing ‘instant credit’ at the point of sale. This means that when the […]
What are Field Data Scientists?
Ekata’s team of field data scientists (FDS) helps customers return the best possible value from our solutions. Customers meet a member of the FDS team at multiple points during the sales cycle and that relationship continues throughout their account life cycle at Ekata. So who are we? We’re a globally distributed team with people in […]