While predictive analytics can dramatically improve business results, bringing that power to bear on transactional systems has historically been difficult. If analytic models must be hand-coded or hand-integrated with transactional systems, companies may be slow to realize value from its models. In addition, the resulting system would likely be hard to change, decreasing agility.

The use of a business rules management system to implement analytic models can generate more value sooner and ensure that the resulting system remains agile. Learn seven “accelerators” – or best practices – for using business rules to put analytics to work more effectively and rapidly.