DXP：面向大数据分析的账单数据准备
DXP: Billing Data Preparation for Big Data Analytics
AI总结：
本文介绍DXP项目为大数据分析准备账单数据的流程设计，克服挑战并分享经验，为类似项目提供可迁移的关键方法。
摘要：
在本文中，我们介绍了为数字体验平台（DXP）项目所执行的数据准备活动，该项目由Doxee S.p.A.委托并监督。DXP管理着不同行业（如电力与燃气、电话、付费电视等）各公司用户的账单数据。这些数据需要经过处理，以便为用户提供服务（例如交互式账单），但主要目的是为公司提供分析（例如客户流失预测或用户细分）。我们专注于数据准备流程的设计，描述了为使账单数据准备好进行分析而必须克服的挑战。我们通过强调可迁移到类似项目中的关键点来阐述经验教训。此外，我们报告了从对已准备数据的初步分析中得出的一些有趣结果和考虑，并指出了正在进行项目的一些可能未来方向，涵盖从大数据集成到隐私保护的时间记录链接。
英文摘要：
In this paper, we present the data preparation activities that we performed for the Digital Experience Platform (DXP) project, commissioned and supervised by Doxee S.p.A.. DXP manages the billing data of the users of different companies operating in various sectors (electricity and gas, telephony, pay TV, etc.). This data has to be processed to provide services to the users (e.g., interactive billing), but mainly to provide analytics to the companies (e.g., churn prediction or user segmentation). We focus on the design of the data preparation pipeline, describing the challenges that we had to overcome in order to get the billing data ready to perform analysis on it. We illustrate the lessons learned by highlighting the key points that could be transferred to similar projects. Moreover, we report some interesting results and considerations derived from the preliminary analysis of the prepared data, also pointing out some possible future directions for the ongoing project, spacing from big data integration to privacy-preserving temporal record linkage.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
