A natural place for companies to start this is by prioritizing operational excellence initiatives that help to streamline operations and improve work efficiency as a whole. Being digital-first is on many leaders’ agendas, as it enables companies to be more effective and enables them to stay ahead of the curve by gaining a significant advantage over competitors.
Improving organizational efficiency and redesigning the operations are ways to futureproof the organization and to be more agile and adaptable in this ever-changing environment. However, in order to know what to improve, companies need to understand their processes first. Having real-time information and complete visibility over operations is a challenge on its own, and a big one as well, which businesses have been trying to tackle for a few decades now.
Luckily, there are several process discovery and mapping methodologies that help to understand the processes happening inside the organization. Some methods are more manual and include interviews, surveys, and observations for data gathering. Others collect the data more automatically and require less intervention from humans. These include process mining and desktop task mining. In many cases, many different approaches are used together for better discovery of processes and tasks.
The reality is not as black-and-white as it may seem at first. Bigger organizations have a lot of IT legacy systems, dozens of processes, and hundreds of task flows running between hundreds of teams and units over multiple locations. Therefore, most of the time, even the best existing technologies, such as process and task mining, are not able to provide full coverage of all work related activities. This is where ProcessMaker Process Intelligence (PI), a hybrid process intelligence tool, enters the game, combining the best of process and task mining and beyond.
