
Enabling Sun National Bank
Sun National Bank is expanding its portfolio of technology solutions for small businesses and merchants with Pogo>, a mobile payment processing solution. Sun is the first New Jersey-based bank to provide this mobile payment solution, in collaboration with First Data, a global leader in electronic commerce and payment processing.
Pogo> is a business-grade solution that enables a merchant to accept credit, signature debit or cash payments anywhere inthe United States where the merchant has wireless coverage. Pogo> works by allowing a merchant to combine a web-enabled iOS or Android smartphone or tablet with a mobile application and secure mobile card reader to create a point-of-sale (POS) device.
“Sun National Bank is dedicated to providing our small business owners, entrepreneurs and local merchants with products and services that enable them to grow their businesses and succeed,” said Thomas X. Geisel, President and CEO, Sun National Bank. “With the ability to access Pogo> in our growing suite of small business banking services, our customers can leverage the latest technology to securely process payments, more effectively manage their expenses and improve their bottom line.”
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