Over the past few decades, business process management (BPM) has proven itself as a near miracle worker of productivity. BPM has helped thousands of organizations systematize and automate repeatable tasks, gain control of internal processes, and scale with changing customer preferences. Just as BPM empowers an organization to better adapt to change, BPM itself is undergoing its own metamorphosis as organizations are replacing their legacy BPM software. Intelligent business process management (iBPM) is the next evolution of BPM, building on the best of BPM by adding artificial intelligence into the mix. For every business, iBPM ushers in a new era of smarter, more connected, and forward-thinking process management tools to grapple with the complex, big data of the future.
What is traditional business process management?
Traditional business process management (BPM) sits as royalty amongst the top productivity strategies. The practice empowers organizations to take the reins of their processes. By standardizing workflows and eliminating untraceable manual behaviors, BPM gives organizations crystal-clear visibility into how they conduct business. Armed with this new perspective, organizations can fix bottlenecks, fine tune processes, and ensure all activity remains focused around main objectives.
How does iBPMS improve upon BPM?
BPM platforms generate a staggering amount of data. From collating employee behavior to collecting customer data, and analyzing how users interact with various services, organizations are home to extremely large data sets. Intelligent business process management software (iBPMS) takes this challenge head on by facilitating the real-time processing of complex data and accelerating the gap between insight and action.To make this possible, iBPMS revolves around “low-code”: tools that make it easy for your team to build workflows that capture next-level data. Featuring drag-and-drop tools and powerful visual editors, iBPMS make it easier than ever to handle data-heavy processes and solve increasingly complex problems in no-time.
