
Using certified payment solution
Integrated payments solution provider Precidia Technologies is certifying its payment solution to electronic commerce and payment processing firm First Data (view press release). The move allows Canadian point-of-sale (POS) software developers and vendors using Precidia’s solution to enable EMV (chip and PIN) compliant payments to connect to First Data for transaction processing.
The new service delivers PCI PA-DSS compliant, fully managed payment processing for credit, debit, gift and loyalty cards, and offers merchants a web portal to view all their transactions in near real time. It is available to users of all sizes ranging from single POS lane systems up to large multi-lane, multi-location retailers. The PIN pad is shipped directly to the site and remotely configured on first power up, and alerts will let the merchant know when the batch was settled and for how much.
Deepak Wanner, president, Precidia Payments, said: “This is just one of a range of innovative solutions Precidia is delivering to the Canadian payments market. We are pleased to be working with First Data, an industry leader that understands and leverages technology to benefit their customers.”
Whitepapers
Related reading
Central banks best suited to issue digital currencies
By Aaran Fronda A recent report by the Official Monetary and Financial Institutions Forum (OMFIF) said that central banks rather than private ... read more
Instant payments: innovations inbound for corporates
In 2020, instant payments look set to continue their current trajectory to become the biggest trend in payments. While these schemes already offer numerous benefits to corporates, leveraging innovations such as APIs and request to pay will go some way to unlocking their full potential, argues Michael Knetsch
Obstacles exist for banks to meet ECB’s instant payments goal
The cost of joining instant payment platforms will be one of many hurdles banks and payment services providers must overcome to meet ... read more
Banks must be aware of “biases” in data used to train ML models
Financial institutions need to be conscious of biases in the historical data that is being used to train machine learning (ML) models, ... read more