While cold, hard physical cash may still be king, there is no denying that mobile and digital payments are on an upward trajectory. According to the 2016 U.S. Federal Reserve payments study, there were over 144 billion US non-cash payments made in 2015 with a value of $178 trillion. With this much opportunity, there are bound to be openings for market disruption and innovation. Below is a diagram from Frost & Sullivan1 that provides an overview of the ecosystem in the US digital payment market in 2017.
Dream Payments – an IBM Cloud client, is looking to seize upon this opening. Dream Payments enables merchants to sell everywhere using mobile devices. Dream Payments’s cloud-based payment platform combined with its mobile point of sale device allows merchants to accept credit and debit cards, access rich analytics and reports, and provide digital receipts to customers. Dream Payment’s solutions are secure, Europay/MasterCard/Visa (EMV) compliant, and accept Contactless and Chip payment cards.
Watch the video below to see how Dream Payments evolved from a mobile point-of-sale company to a mobile payment cloud provider.
Frost & Sullivan, US Digital Payments Market Outlook, Forecast to 2022
When Sonian launched its cloud-based email archiving solution in 2007, the company was ahead of the curve. “Our founders took a bet that cloud was going to be the future for how enterprises store and retrieve information,” says Derek Peplau, Sonian Vice President of Marketing. “We like to think that we were cloud before it was cool.” Considering the current mass adoption of cloud computing models, it’s a bet that paid off big. “We’ve seen the model proven out,” says Peplau. “And we’ve been there since day one.”
If you were to make a list of the most-hyped topics in enterprise technology right now, it’s likely that the Internet of Things (IoT), big data and event-driven applications would be near the top of it. In many cases, these types of solutions share a common factor: the need to capture, analyze and act on fast-moving, high-volume streams of data—whether that data is generated by IoT sensors, user activity on the web, or traditional transactional data such as trading on financial markets.