Five Facts about Direct Banks

whitePaper | March 29, 2023

Today, the financial services industry faces numerous disruptive forces, including ever-increasing customer demand for innovative and personalized services; intense competition from technology companies, fintechs and incumbents; rising regulatory pressure; increasing cybersecurity threats; and the need for skilled talent to address all the above.

whitePaper | August 25, 2022

The exit whether it’s an initial public offering (IPO), being absorbed into a special purpose acquisition company (SPAC), or an outright sale is now a strategic goal for many private company executive teams. With many private equity funds nearing the end of their holding period, finance professionals are increasingly being relied on to navigate the complicated liquidity event and provide the critical oversight needed when developing a company’s new internal control environment.

whitePaper | April 30, 2022

As the demand for real-time payments grows, so does the need for financial institutions (FIs) to offer more robust access to faster and more efficient payments. The Clearing House’s (TCH’s) RTP network laid a solid foundation for use cases and connectivity protocols, but some FIs have been waiting for FedNow before deciding how to move forward. FedNow is finally about to launch.

whitePaper | May 9, 2022

The rapid evolution of technology across all industries is revolutionising customers’ expectations around digital transactions. Quality of service at the right price is table stakes but today’s customers also expect an intelligent and a seamless digital experience.

whitePaper | July 13, 2022

Banking has long been at the forefront of technology innovation. From ATMs to mobile banking, financial institutions have been the harbinger of technology-powered interactions for consumers around the world. However, the price of that early innovation has been mountains of technical debt.

whitePaper | February 18, 2020

Organizations that develop their own credit risk models see long lead times to get them built and deployed. Business users determine a need for a new model, which triggers weeks or months of data collection and model development effort – as much as a year. By the time the new model is deployed, market conditions and customer needs have changed, so the process starts over.