While business process models can be fairly complex and hard to develop, once available they can also be a powerful management tool. These models should:
Be data-based, quantitative, specific
Make it easy to identify major opportunities
Allow easy testing of action ideas ("what-ifs")
Weed out action idea non-starters
Generate clear, relevant performance metrics
Provide baseline (starting point) metrics
Identify clear goals and benchmarks
Generate management dashboards
Track progress of action initiatives
Assess action results upon completion
Suggest priorities and action focus
Communicate simply and clearly
Allow low cost testing of ideas and alternatives
Allow complex trade-offs among many variables
Support continuous process improvement
Support process optimization
Provide simple views of complex systems
The more complex a process is, the more value a model can provide. Changing a complex process without having a clear picture of what the change may affect can be costly and occasionally disastrous.
The understanding most modeling exercises produce is alone often worth the modeling effort and cost.
To reduce risk, experiment with a model rather than with the real thing.
Most complex business processes have an important behavioral component. The model must include this.