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{"title":"Using Big Data to Improve Customer Experience and Business Performance","authors":"Jeffrey Spiess, Yves T'Joens, Raluca Dragnea, Peter Spencer, Laurent Philippart","doi":"10.1002/bltj.21642","DOIUrl":null,"url":null,"abstract":"<p>In an environment where communications service providers (CSPs) increasingly have the same service offers and devices, offering a superior customer experience is a priority to compete. Solutions that have the ability to highlight what really matters in driving customer satisfaction and deliver actionable insights from their wide-reaching customer, network, and service data are key differentiators for CSPs. This paper explores ways of integrating big data insights with automated and assisted processes related to key customer touchpoints to ultimately improve the customer experience. We show how innovation from Alcatel-Lucent and Bell Labs helps CSPs improve their business performance, using unique methodology designed to select the right key quality indicators, build accurate key business objective “formula,” predict customer behavior, and ultimately understand which factors are influencing the most. This can be used for example to improve the Net Promoter Score (NPS). The net result is a happier customer and a higher customer value. © 2014 Alcatel-Lucent.</p>","PeriodicalId":55592,"journal":{"name":"Bell Labs Technical Journal","volume":"18 4","pages":"3-17"},"PeriodicalIF":0.0000,"publicationDate":"2014-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/bltj.21642","citationCount":"125","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bell Labs Technical Journal","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/bltj.21642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 125
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Abstract
In an environment where communications service providers (CSPs) increasingly have the same service offers and devices, offering a superior customer experience is a priority to compete. Solutions that have the ability to highlight what really matters in driving customer satisfaction and deliver actionable insights from their wide-reaching customer, network, and service data are key differentiators for CSPs. This paper explores ways of integrating big data insights with automated and assisted processes related to key customer touchpoints to ultimately improve the customer experience. We show how innovation from Alcatel-Lucent and Bell Labs helps CSPs improve their business performance, using unique methodology designed to select the right key quality indicators, build accurate key business objective “formula,” predict customer behavior, and ultimately understand which factors are influencing the most. This can be used for example to improve the Net Promoter Score (NPS). The net result is a happier customer and a higher customer value. © 2014 Alcatel-Lucent.
利用大数据改善客户体验和业务绩效
在通信服务提供商(CSP)越来越多地拥有相同服务和设备的环境中,提供卓越的客户体验是竞争的优先事项。解决方案能够突出在提高客户满意度方面真正重要的东西,并从其广泛的客户、网络和服务数据中提供可操作的见解,这是CSP的关键区别。本文探讨了将大数据见解与关键客户接触点相关的自动化和辅助流程相结合的方法,以最终改善客户体验。我们展示了阿尔卡特朗讯和贝尔实验室的创新如何帮助CSP提高其业务绩效,使用独特的方法来选择正确的关键质量指标,建立准确的关键业务目标“公式”,预测客户行为,并最终了解哪些因素影响最大。这可以用于例如提高净发起人得分(NPS)。最终的结果是一个更快乐的客户和更高的客户价值。
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