There’s always something to improve on when it comes to business and day-to-day operational practices. To strategically reduce where inefficiencies lie and also create the proper pathways to redefine the process, business process modelling can help inform better business practices.
Also called process modelling, business process modelling is the use of illustrations to depict an organisation’s processes. It’s used for business process management.
Business process modelling looks at the current state of affairs rather than what can or will be in the future. It begins with outlining the processes on paper and then moves to digitisation. The primary goal is to show how things work now so you can establish what needs to be improved upon.
If done correctly and with the right business process modelling tools, process modelling can help organisations by delivering the following outcomes:
Enforce Best Practices:
Beat the Competition:
Process modelling approaches are structured based on the perspective. There are several identifiable aspects, including:
There are many techniques to approach business process modelling. Here’s a look at some standard paths to make it work:
Business Process Modelling Notation (BPMN):
Universal Process Notation (UPN):
Ready to get started on your own business process modelling? Here’s your quick path to success:
The use of technology in the form of process modelling software can significantly alleviate the strain of process modelling off of any one individual. With the use of automation, deep analytics, and easy to read reports, you can leverage the modelling software tool to do the heavy lifting for you. The best software is:
Business process modelling works with process automation tools to improve business functions. Having one without the order is like having a car without gas. With process modelling, you have the structure of how a process should work, but you need the automation tool to get the process moving from A to B in the most efficient manner.
Process automation tools are the application of how to take the theory of business process modelling and put it into action once you’ve used process modelling to assess how your business functions, you’ll want to use automation tools to achieve process improvement and maximise outputs.
For example, if you run a financial institution, you may outline the process of how a credit application gets approved. It may be a slow, tedious and repetitive task on behalf of an employee who must go through multiple steps to sign-off on one applicant. At the same time, they have to be concerned about compliance and compliance risk. So, you realise that a process inefficiency and fraud or human error danger lies in manual labour.
To improve the process, you can use a software automation tool like SolveXia which utilises robotic process automation (RPA), or a robot that can be trained to follow the steps the human takes to do the same work in less time with more accuracy. According to McKinsey & Company, the return on investment in just the first year of RPA can offer between 30-200% on labour savings.
With an automation tool in place, you can easily optimise and streamline business processes. The tool allows a robust overview of how current methods are being implemented and managed, and it also can provide reporting and dashboards to deduce the success of an ongoing process. When you’re ready to roll out a new processor update an existing practice, you can integrate the steps automatically and see its effects in real-time so that if you do fail, you can fail fast and revert until you redefine the process.
Furthermore, to optimise process automation itself, you can use business practice modelling to see who needs what data and compliance methods. The two work hand-in-hand to support one another in optimising business functions.
In effect, regardless of how you choose to implement business process modelling, you will move your business forward by enacting process improvements. Such improvements can be most efficiently deployed, managed, organised and analysed through the use of automation tools and software such as SolveXia.