Six corporate actions prototype aims to slash data delivery time
Eiichiro Yanagawa, a senior analyst at research and advisory firm Celent, says growing volumes and complexities driven by increasing digitalization require better straight-through processing (STP). The evolution of regulations and market practices will require greater process automation and automated workflows, he adds. Technologies such as robotic process automation and machine learning-enabled solutions can help in this area.
“As always, the mother of innovation is its necessity and the father competition. Since this space is a globally common competitive area, many vendors have already shifted from the race for its development to the race for its delivery [business] model. A key success factor is to provide a low-cost and robust utility service around the exchanges,” he says.