SBIR Phase I: Enterprise Economic Knowledge Modeling For Data-Driven Offer Design

这个小型企业创新研究(SBIR)第一阶段项目应用Infolenz专有的模型缩减技术来开发数据驱动的经济框架，以支持公司的报价设计。该项目的目标是：1)开发能够处理企业交易数据复杂性的建模方法；2)开发健壮的综合报价设计方法；3)在软件中制作方法的原型；4)将它们应用于实际的客户数据。由此产生的商业应用出现在一个工具中，该工具自动将商业用户的战略决策与从交易数据收集的经济信息相结合，以设计最优报价。提出者专有的模型简化技术代表了一个缺失的环节，现在可以支持开发一种实用理论，即对这些真正由数据驱动的复杂经济系统进行稳健建模和控制。

This Small Business Innovation Research (SBIR) Phase I project applies Infolenz' proprietary model-reduction technology to the development of a data-driven economic framework for supporting a firm's offer design. The objectives of the project are: 1) development of a modeling methodology capable of handling the complexity of enterprise transaction data, 2) development of a robust integrated offer design methodology, 3) prototyping the methods in software, and 4) applying them to actual client data. The resulting commercial application emerges in a tool that automatically integrates the strategic decisions of business users with the economic information gleaned from transaction data to design optimal offers. The proprietary model-reduction technique of the proposer represents a missing link that can now support the development of a practical theory of robust modeling and control of these complex economic systems that is truly data-driven.