From eliminating redundant tasks and busywork to streamlining processes to improving forecasting across the organization, enterprise resource planning (ERP) solutions provide companies with a wealth of benefits. ERP systems store all sorts of data that’s relevant throughout the organization in one central repository, making it easier for business units to find the information they need.Read More
While hefty projected receivables amounts might look nice in terms of “money that will be coming in,” you can’t exactly pay your company’s bills with unpaid invoices.Read More
A few weeks ago, I read “Finance Pros Say You’ll Have to Pry Excel Out of Their Cold, Dead Hands” in the Wall Street Journal and I’ve been thinking about it ever since. I happen to be on a mission to bury Excel and in process help save Excel users – at least when it comes to managing their accounts receivable.
Today marks an incredibly important milestone for YayPay. We just announced the raising of $5.3 million in funding to further our drive to bring automation to the back-office finance operations of small and mid-sized enterprises. The funding puts YayPay at a major inflection point in which we can accelerate our momentum by recruiting more great talent, roll out a full suite of intelligent order-to-cash automation software, and increase sales activities.Read More
As digitization accelerates, technologies like artificial intelligence, robotics and machine learning are becoming increasingly vital to business decisions. CFOs may not be asking about these platforms specifically, but they are wondering about how to boost productivity and enhance workflow in an economy that demands both. In this environment, business leaders are beginning to view automation as the silver bullet for eliminating the productivity gap once and for all.Read More
There is a little-known secret among finance teams, AR Managers and CFOs. Deep inside, most of them have a certain amount of mistrust when automating any process. After all, a known (even if notoriously inefficient and frustrating) process is usually transparent, whereas the new automated process is a mysterious “black box”. Data A comes in, output B comes out. How do you know it’s right?Read More