Discovery创新情报系统

Discovery的数据分为企业，科研机构，科技文献，金融，市场等 5 大板块，包含了 2.5 亿的科学文献，1.6 亿专利数据， 70 万个技术标签，30 多万投融资记录，70 多万收并购记录，400 万个企业信息，6 万个上市公司及历年企业年报等数据Discovery对数据进行深加工处理，打通从数据到信息，从信息到情报的链路，帮助用户分析数据，通过数据之间关联探索和洞察新的领域，帮助用户充分挖掘原始数据中蕴含的商业价值。

The data of Discovery is divided into 5 major segments: enterprises, scientific research institutions, scientific and technological literature, finance, and market. It encompasses 250 million scientific documents, 160 million patent datasets, 700,000 technical tags, over 300,000 investment and financing records, over 700,000 mergers and acquisitions (M&A) records, 4 million enterprise profiles, as well as 60,000 listed companies and their annual reports over the years.
Discovery conducts in-depth post-processing on the data, establishing an end-to-end pipeline from raw data to information and then to business intelligence. It assists users in conducting data analysis, exploring new fields and gaining novel insights via the correlations among different datasets, and helps users fully tap into the commercial value embedded in the original data.

搜集汇总

背景与挑战

背景概述

Discovery创新情报系统是一个综合性数据集，涵盖企业、科研机构、科技文献、金融和市场五大板块，包含大量科学文献、专利数据、技术标签、投融资记录、企业信息等，旨在通过数据关联分析帮助用户挖掘商业价值。