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Decision Support
One of the quintessential rules in business is the 80/20 rule.  Although it is used to illustrate many patterns in business one of the relationships it details is that 80 percent of your revenue will come from 20 percent of your customers.  Furthermore, 20 percent of your customers will also be responsible for 80 percent of your problems.
If we take this rule at face value, then the next obvious thing to do is to find ways to be on the positive and productive side of any 80/20 power curve.

It is, therefore, desirable to identify the 20% of your customers who are creating 80% of the revenues and vice versa.  Discovering this allows you to readily optimize your organization's energy and resources in order to maximize its returns.

Although this is a popular example of what Decision Support Systems can be used for, the actual breadth of support applications cover almost every imaginable aspect of business; from customer support to production logistics to long-term strategic planning.  

Implementing Decision Support Systems in the past were not for the weak of heart.  Early DS Systems required heavy usage of proprietary and opaque data integration schemes.  These less-than-adequate fixes were completely dependent on creating a data bridge towards older legacy systems in order to get access to key core information like customer accounts.  Once retrieved, this core information had to be combined with data flowing in from other systems in order to provide a higher level of decision knowledge. 

Modern DS Systems must do more than just provide various business-related options for its users.  To be effective, they must also have the capacity to weigh those options along a scale that is aligned with the organization's mission.

nwis.net has the required depth of technical expertise, business process experience and value engineering knowledge to successfully design and implement advanced Decision Support systems.


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