The amount of data that enterprises are generating is mind-boggling. It is estimated that 45,788 Uber trips, 600 Wiki page edits, and 51,892 peer-to-peer Venmo transactions are being completed just in a single minute – spurring huge volumes of data.

Enterprises are taking the biggest hit with B2B networks bombarded by huge velocity, volume, and variety of data. This data is spurred in large part by high throughput technologies and processes.

A no code approach empowers non-technical users with self-service integration capabilityfor optimizing real-world industrial assets. Business users get a graphic integrated development environment that enables them to architect integration flows and connect technologies and processes with drag-and-drop ease.

We are so done with point-to-point connectivity. It is not feasible anymore to use this approach for connecting a flurry of applications in a hybrid environment.

Cross-industry studies show that a self-service data integration strategy holds the key to setting up a disruption-free enterprise and gaining a competitive edge. It shapes success by enabling companies to keep up with customer demands, manage torrents of information assets, and find the right pace for deployment.

Business data connectivity is a critical function for organizations that rely on timely exchange of sensitive business data. Often, business data exchange depends heavily on hand-coded connections between enterprises.