Compared to traditional systems, this approach has the following major advantages, Business rules represent a natural step in the application of computer technology aimed at enhancing productivity in the workplace.
And in a world where the life cycle of business models has greatly shortened, it has become increasingly critical to be able to adapt to changes in external environments promptly.
For evaluating decision tables and trees, an algorithm that exploits the hierarchical relationships between the rule conditions may perform better than a simple Rete or sequential algorithm tuned for discrete rules.
Provided with a suitable interface to design or edit decision tables or trees, it is possible for business users to check or change rules directly, with minimal IT involvement.
With a defined and implemented vocabulary, it is relatively easy to write rules in a BRMS.
Date, business rules translate into data integrity constraints when one thinks in terms of the relational model of database management.
Thus, a true RDBMS could be thought of in terms of a declarative business rules engine with added data management capability.
Used in this way, business rules are like SQL queries, rather than data integrity constraints.
Wherever a decision or while loop appears, business rules can evaluate the data provided by the process and control the basis for change in flows.