Why Modeling Business Decision is Important?
Business decisions capture the essence of the business operation. day in, day out, business decisions are made on a large scale, like changing price points, to hundreds or even thousands of operational decisions made on a daily basis, like pre-qualifying a new customer. These are repetitive, operational business decisions.
When it comes to making operational decisions, it is critical that a company has what we refer to as a Decision Modeling environment. In other words, a way of categorising and standardising every decision that needs to be made so that there is a consistent and transparent way of measuring and monitoring performance against specific business goals.
With modeling business decision, a business can determine both the business knowledge and related data that are needed in order to reach a particular decision. This includes gaining a thorough understanding of the dependencies for each and every operational decision that needs to be made. As we will demonstrate, this type of understanding cannot be achieved by using business rules alone.
Modeling business decision will enable a company to:
- Analyse and understand the requirements that lead to a particular business decision
- Provide an easy-to-understand picture of each decision in business terms
- Define the logic of that decision and a means to trace it back to a logical source
Advantages of Modeling Business Decisions
There are several key advantages to modeling business decisions. For example, whether your company uses decision table (spreadsheet) or natural language business rules, decision models are designed to scale easily while at the same time remaining easy to understand. Because a decision model is very precise when it comes to decision requirements, it facilitates understanding exactly what the impact is when you change any part of the model. This is where decision modeling has a distinct advantage over business rules.
Subject Matter Experts Focus
FlexRule’s Decision Modeling environment is designed to ensure that your subject matter experts are easily able to see exactly where the decision points are that result in a particular action being taken. So while Decision Modeling can inform developers of what to do, it is also transparent enough to enable the business to understand and verify the end business decision. In other words, Decision Models facilitate communications between business analysts and developers, thereby minimising developmental misunderstandings.
Ownership and Control
The definition and simulation of business decisions allows business analysts to effectively control the implementation of business policy without having to rely entirely on IT to clear a backlog of change requests. This way, analysts can alter and correct the automated process to reach a particular decision ‘on-the-fly’, which greatly improves operational efficiency.
Traceability is another key advantage of Decision Modeling. Every decision is accompanied by a justification that facilitates regulatory requirements and compliance, as well as helping to rapidly diagnose faults.
Separation of Concerns
Modeling business decision also manages to separate business processes from data, and business decisions from implementation. In other words, each of these four critical aspects of a successful operational decision-making environment can be examined and implemented separately.
Ease of Business Reviews
It is also important to note that modeling business decision enforces the use of standards that ensure all business analysts are ‘working off the same page’, so to speak. This facilitates more effective business reviews and avoids the pitfalls that are so often associated with pure business rule environments.
Decision Modeling enables a company to parse even the most complex operational decisions into more manageable subsets, which in turn facilitates scalability. Most importantly, the company can document exactly how its business are made, thereby enabling operations to quickly identify any flaws in the process.
This comprehensive approach to understanding business dependencies facilitates an agile approach to change management. Another advantage of this method is that it ensures rigorous compliance in the event of an external audit by enabling the company to explain particular decision-making based on easier-to-understand specifications.
Modeling business decision or Decision Modeling is the ideal first step in determining which day-to-day operational decisions are ideal candidates for automation. Using knowledge acquisition techniques, companies can ensure that operational staff turnover does not result in the loss of business expertise, and that the business acumen exhibited by high performers is captured and memorialised in a way that becomes transparent to other decision-makers.
In summary, it is no longer enough for companies to operate based on business decisions that are embedded in obscure computer programs or cryptic business rules, much less the whim of decision-makers who may be removed from the realities of day-to-day operations. Rather, the rationale behind these decisions must be immediately apparent to all those with a need to know.