Extensible Analytics

Single-threaded techniques (those that only look at a certain type of impact) are successful in identifying a fraction of impacts for the life of the single system that implements them. The challenge with this approach is threefold: the causes change over time, the impacts are varied (e.g. revenue, cost, and customer experience), and enterprises would need to build multiple systems to fully control order-to-cash. Therefore, high-performance organizations will deploy a wide variety of ad-hoc analytics whose focus changes as conditions and needs change. Single-threaded systems can only support this need by implementing different systems for different applications.

Automated controls overcome these challenges by placing persistent controls into the order-to-cash process. By their very nature, automated controls provide one single environment that is extensible to any set of ad-hoc analytics required by the provider. This creates leverage in two critical ways:

• A single investment drives return over the entire range of order-to-cash analytics
• Business-rule libraries that are built and deployed to model conditional logic or analytic algorithms are re-usable across that same range