Business rules are fundamental to developing and implementing both processes and systems for effectively managing customer information. They provide the impetus, rationale and platform for change allowing businesses to adapt when rules are violated and to capitalize on opportunities when rules are robust. The process of business rules induction is distinctly different from and necessarily informs the technologies that implement the rules. Business rules are best derived from a combination of a top-down approach or process built upon sound hypotheses or business cases, and a bottom-up or data- driven approach.
The process of business rules induction entails implementing rounds of iteration between business cases and data mining, with the goal being to formulate a methodology to generate rules which will govern the manner in which information systems ultimately manage the business and the customer experience. Business cases provide a framework for applying data mining techniques to derive rules. Imbedding efforts in a "real world" or applied context helps identify and evolve the data and information needs upon which sound infrastructures are built for managing customer relationships.
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