Using BPM technology to deploy and manage distrib-uted analytics in collaborative IoT-driven business scenarios

摘要

The Internet of Things (IoT), with its ability to create vast amounts of previously impossible-to-collect sensor-based data from physical objects, creates both an opportunity and a challenge for enterprises. The opportunity arises from the chance "to improve the efficiency of their operational business processes." The challenge arises from the fact that traditional business process management (BPM) systems were not designed to deal with the huge quantity of distributed data that needs to be extracted and analyzed automatically in real time. The authors propose joining distributed analytics (DA) with IoT and BPM to meet that challenge. Working together, the three distinct technologies can combine "to drive business processes automatically with information [derived] from the physical world." IoT "couples the physical world to the digital world" by allowing individual physical objects to not only generate data, but also be digitally actuated (when appropriate). DA delivers the necessary software intelligence to make business sense of the IoT data. This translates the raw data into information that BPM uses to drive and enrich business processes, and those processes can then deliver more value to the enterprise.