Decision management is described as an "emerging important discipline, due to an increasing need to automate high-volume decisions across the enterprise and to impart precision, consistency, and agility in the decision-making process". Decision management is implemented "via the use of rule-based systems and analytic models for enabling high-volume, automated decision making"
Organizations seek to improve the value created through each decision by deploying software solutions (generally developed using BRMS and predictive analytics technology) that better manage the tradeoffs between precision or the accuracy, consistency, agility, speed or decision latency, and cost of decision-making within organizations. The concept of decision yield, for instance focuses on all five key attributes of decision-making: more targeted decisions (precision); in the same way, over and over again (consistency); while being able to adapt "on-the-fly" (business agility) while reducing cost and improving speed, is an overall metric for how well an organization is making a particular decision.
Organizations are adopting decision management technology and approaches because they need a higher return from previous infrastructure investments, are dealing with increasing business decision complexity, face competitive pressure for more sophisticated decisions and because increasingly short windows of competitive advantage mean that the speed of business is outpacing speed of information technology to react.