遇见数据集

隐私计算与客户画像平台V2

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华东江苏大数据交易中心2024-12-17 更新2024-12-18 收录
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隐私计算与客户画像平台构建了统一的数据跨域安全融合、数据融合分析、可视化展现能力,有助于机构客户进行全渠道、多维度的数据整合,加深对C端客户的全面洞察与理解。 隐私计算与客户画像平台分为三个模块,分别是:隐私计算模块、客户画像模块和基础管理模块。隐私计算模块以安全求交和联邦建模为基础内核,能支持客户新标签的加工与计算;客户画像模块内嵌的标签管理模块支持标签规则管理、标签增删改、标签权限管理等功能,画像看板模块支持群体画像和个体画像,通过数据可视化方式实现对单个客户和某类客群的标签组合筛选与分析;基础管理模块设置了账户管理、数据管理、项目管理等基础功能,能支持对隐私计算任务和客户画像任务的统一管理。 华策数据提供的隐私计算与客户画像平台能快速的提供客户的识别能力,提供统一的客户全景、具有深层诠释方面的客户画像视图,帮助客户在具体的业务办理时能更快,更全面的了解客户特征与客户需求。

Privacy Computing and Customer Profiling Platform builds unified capabilities for cross-domain secure data fusion, data fusion analysis and visual display, which helps institutional customers conduct omnichannel and multi-dimensional data integration, and deepen their comprehensive insights and understanding of C-end customers. The Privacy Computing and Customer Profiling Platform is divided into three modules, namely: Privacy Computing Module, Customer Profiling Module and Basic Management Module. The Privacy Computing Module takes secure set intersection and federated modeling as its core kernel, and supports the processing and calculation of new customer tags; the built-in tag management module of the Customer Profiling Module supports functions such as tag rule management, tag add, delete and modify, and tag permission management, while the Profiling Dashboard Module supports group profiling and individual profiling, and realizes combined tag screening and analysis for individual customers and specific customer groups through data visualization; the Basic Management Module is equipped with basic functions such as account management, data management and project management, and supports unified management of privacy computing tasks and customer profiling tasks. The Privacy Computing and Customer Profiling Platform provided by Huace Data can quickly provide customer identification capabilities, provide unified customer panoramas and customer profiling views with in-depth interpretability, and help customers achieve faster and more comprehensive understanding of customer characteristics and needs during specific business processing.

创建时间:
2024-12-17
搜集汇总
背景与挑战
背景概述
该数据集描述了隐私计算与客户画像平台V2,它通过隐私计算模块实现数据安全融合和联邦建模,支持新标签加工;客户画像模块提供标签管理和可视化分析功能,用于群体和个体画像;基础管理模块统一管理任务。平台旨在帮助机构整合全渠道数据,加深对客户的理解,从而在业务办理中快速识别客户特征和需求。
以上内容由遇见数据集搜集并总结生成
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