易数魔方

通过对软硬件产品的数据治理，包括利用公开信息和本地行业专家的知识储备进行全面评估，并对产品各项指标进行综合研判后打标签；同时，针对业务需求的数据治理，结合客户明确表达的需求、潜在需求以及省内外的实际案例储备，深入分析业务场景与客户画像并打标签。在此基础上，建立算法匹配模型，借助该模型实现业务需求与软硬件产品的精准匹配，并利用模型自动编写符合业务现状的解决方案。

Data governance is first applied to software and hardware products: comprehensive assessments are conducted using public information and the knowledge base of local industry experts, followed by comprehensive analysis of each indicator of the products, and finally the products are labeled. Meanwhile, data governance for business requirements is implemented: explicitly expressed customer demands, latent demands, and the repository of actual cases from within and outside the province are integrated, in-depth analyses of business scenarios and customer personas are carried out, and labeling is performed accordingly. On this basis, an algorithmic matching model is developed, which achieves precise matching between business requirements and software and hardware products, and automatically generates solutions tailored to the current business landscape.

搜集汇总

背景与挑战

背景概述

易数魔方是一个数据服务产品，专注于通过数据治理和算法模型实现业务需求与软硬件产品的精准匹配。它利用公开信息和专家知识对产品及需求进行标签化，并自动生成解决方案，适用于信息化建设单位，覆盖互联网公开的软硬件参数和建设标准规范案例。数据集具有动态更新（每季度）、数据存储100 GB等特点，关键词包括大数据、模型和方案。