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System, method, and computer program for deploying a prepackaged analytic intelligence module for a quote-to-cash application while protecting the privacy of customer data

机译:用于为报价到现金应用程序部署预打包的分析智能模块,同时保护客户数据隐私的系统,方法和计算机程序

摘要

The present disclosure describes a system, method, and computer program for creating and deploying prepackaged, predictive and prescriptive analytics modules for use with a quote-to-cash application. When deployed, the prepackaged analytics modules execute seamlessly, from the user's perspective, with the quote-to-cash application to provide predictions, recommendations, or other data-driven insights at one or more places in the quote-to-cash process. The modules are created by leveraging a pre-defined transactional data model that is native to the quote-to-cash application. A separate instance of the module is created for each customer that deploys a module. A customer's instance of the module is automatically retrained with the customer's own quote-to-cash data during the deployment phase by retrieving customer data matching metadata definitions predefined by the quote-to-cash application. Each of the prepackaged analytics modules is configured to work with at least one custom input attribute of a select data type and data distribution.
机译:本公开描述了一种系统,方法和计算机程序,该系统,方法和计算机程序用于创建和部署与报价到现金应用程序一起使用的预打包的,预测性和规范性分析模块。部署后,预打包的分析模块从用户的角度与报价到现金应用程序无缝执行,以在报价到现金过程中的一个或多个位置提供预测,建议或其他数据驱动的见解。通过利用报价到现金应用程序固有的预定义交易数据模型来创建模块。将为每个部署模块的客户创建一个模块的单独实例。在部署阶段,通过检索与报价到现金应用程序预定义的匹配元数据定义的客户数据,可以使用客户自己的报价到现金数据自动重新训练客户的模块实例。每个预打包的分析模块都配置为与选择数据类型和数据分布的至少一个自定义输入属性一起使用。

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