Business process management (
BPM) is a field in
operations management that focuses on improving corporate performance by managing and optimising a company's business processes. It can therefore be described as a "
process optimization process." It is argued that BPM enables organizations to be more efficient, more effective and more capable of change than a functionally focused, traditional hierarchical management approach These processes can impact the cost and revenue generation of an organization.
As a policy-making approach, BPM sees processes as important assets of an organization that must be understood, managed, and developed to announce value-added products and services to clients or customers. This approach closely resembles other
total quality management or
continual improvement process methodologies and BPM proponents also claim that this approach can be supported, or enabled, through technology. As such, many BPM articles and scholars frequently discuss BPM from one of two viewpoints: people and/or technology
Business process management activities can be arbitrarily grouped into categories such as design, modeling, execution, monitoring, and optimization.
Design[edit]
Process design encompasses both the identification of existing processes and the design of "to-be" processes. Areas of focus include representation of the process flow, the factors within it, alerts and notifications, escalations, standard operating procedures, service level agreements, and task hand-over mechanisms.
Whether or not existing processes are considered, the aim of this step is to ensure that a correct and efficient theoretical design is prepared.
The proposed improvement could be in human-to-human, human-to-system or system-to-system workflows, and might target regulatory, market, or competitive challenges faced by the businesses.
The existing process and the design of new process for various applications will have to synchronise and not cause major outage or process interruption.
Modeling[edit]
Modeling takes the theoretical design and introduces combinations of variables (e.g., changes in rent or materials costs, which determine how the process might operate under different circumstances).
It may also involve running "what-if analysis"(Conditions-when, if, else) on the processes: "What if I have 75% of resources to do the same task?" "What if I want to do the same job for 80% of the current cost?".