The person responsible for the data science area at Datarisk, Carlos Relvas, says that when there is a relative who gambles, the probability of the person also becoming one increases by 77%. The increase is even greater, at 216%, in cases where the parents are gamblers.
"During the tests carried out with the product, we identified a high incidence of people who started gambling after a close relative had made a similar transaction," explains Rivas.
The tool also crosses data such as the customers' presumed income, gender and age. Betting is more common among men (70.8%) and the average age is 34, but almost half of bettors (47.8%) are between 25 and 40 years old.
The score also revealed that 63.9% of bettors have formal employment contracts and earn an average salary of 4.7 minimum wages.
“Our goal is to enable companies to make more assertive decisions and mitigate potential payment difficulties,” explains Relvas.
All of these indicators, together with other factors, make up the score. “In the end, we assign a score ranging from zero to one thousand, where one thousand indicates the greatest propensity to become a bettor, and zero, the lowest,” adds Carlos Relvas.
Datarisk’s Betting Probability Score can be quickly and efficiently integrated into the platforms of contracting companies via API, ensuring agility in implementation.
Datarisk was founded in 2017 with an angel investment. The following year, it was accelerated by Visa and elected one of the 100 most innovative startups in Latin America. In its latest fundraising campaign, in 2021, the company received an investment of US$2 million.
Source: GMB
