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Quantifying the Risk of Intellectual Property Loss in Analytics Outsourcing

机译：量化分析外包中知识产权损失的风险

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摘要

The safety of a company's secrets and proprietary competitive practices becomes an important concern when the company is involved in outsourcing. This concern becomes even more critical when the company is engaged in analytics outsourcing where the company shares proprietary data about the internal processes. While there is a growing concern about the larger costs and risks of the wholesale outsourcing of analytics Junctions in the business press, there are no statistics on the risks or a sense of how big they might be. This paper attempts to fill this gap by building a mathematical model of the vendor-client interaction that will allow some baseline quantification of the risks that are inherent in analytics outsourcing. The paper also discusses the implications of these ideas for companies that work with outsourcing vendors and closes with some ideas for further research.
机译：当公司参与外包时，公司机密的安全性和专有的竞争行为就成为一个重要的问题。当公司从事分析外包时，公司共享有关内部流程的专有数据时，这种担忧变得更加重要。尽管越来越多的人担心商业媒体中分析结点的批发外包会带来更大的成本和风险，但没有关于风险的统计数据或它们可能有多大的意义。本文试图通过建立供应商与客户互动的数学模型来填补这一空白，从而允许对分析外包中固有的风险进行一些基线量化。本文还讨论了这些想法对与外包供应商合作的公司的影响，并以一些想法作为进一步研究的结尾。

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