In a recent article we explained why any organisation that makes business decisions needs decision management, what it is and how it helps them become more effective.
Decision Management is a means of explicitly identifying your business’s operational decisions—much as you would any other vital business asset (like data or process)— so that you can describe, share, change manage and monitor their performance to see how they are contributing towards your enterprise goals. Decision Modeling focuses on representing decisions in a precise, standardized and transparent way.
Through Decision Modeling, businesses can build and share a robust documentation of how their business decisions work, rendering them transparent and open to wide review. Modeling reveals how decisions can be decomposed into smaller sub-decisions for scalability and exactly what data and business knowledge are required to support them. This thorough understanding of decision dependencies enables effective change impact assessments and leads to agile change cycles. These advantages cannot be provided by existing approaches like Business Rules.
Decision models can be made so precise that they are executable. Modeling can also be the first step in automating decisions to reduce the cost of manual processes and capturing the expertise of manual decisions to avoid losing business expertise when key members of staff leave a company.
If your business systems make manual or automated decisions that influence your operations then you should consider adopting Business Decision Modeling as a matter of priority. Companies that leave their business decisions embedded in obscure program code, ‘technical’ business rules or in the heads of staff who manage manual operations, will be outmaneuvered by competitors who practice Decision Management and Decision Modeling. Here, we explain why.