Epicor Partners with Jitterbit to Facilitate Data Processing
Jitterbit and Epicor Software Corp. have partnered to enable Epicor customers to connect any system or application to Epicor software.
Jitterbit, an API transformation company, and Epicor Software Corp., a provider of industry-specific enterprise software, have partnered to enable Epicor customers to connect any system or application to Epicor manufacturing and distribution solutions.
Jitterbit’s Enterprise Platform as a Service (PaaS) is a cloud-based API integration platform that enables customers to integrate cloud-based and on-site applications, and provides access to these systems through reusable APIs. Epicor will use Jitterbit to simplify the management of integrations between customer applications and its software. Epicor looks to Jitterbit to deliver integration to customers while maintaining cloud speed and open connectivity.
“In the cloud, it’s not about individual products anymore, but rather about value added business services that cross historical application boundaries and tap into a very broad set of data,” says Thierry Bonfante, vice president of global product management at Epicor. “That’s why Epicor has partnered with Jitterbit to provide our customers with a mechanism to integrate the Epicor cloud with the rest of their IT assets.”
Andrew Leigh, vice president of alliances at Jitterbit, says, “Epicor has become a bellwether for manufacturing and service organizations that want to use software to become more competitive, and we’re thrilled to welcome it into our partner network. Our integration and API platform gives Epicor the ability to rapidly connect its solutions to on-site and cloud systems.”
An introduction to the standards, decision-making, training, cybersecurity, sensors, machine monitoring and cloud computing that make up the IIoT.
A panel discussion at the recent Top Shops Conference focused on various points of view regarding the value of connecting machine tools to a network for monitoring performance and recording results. Because machine monitoring helps a shop make better decisions about manufacturing processes, it is a good example of data-driven manufacturing in action.
A manufacturer that is distinctive for its attention to in-cycle machining productivity describes its efforts to obtain efficiency improvements outside of the machining cycle. The shop’s primary tool is a simple, daily, graphical recap that illustrates when each machine tool was and was not making parts.