招商产业分析管理数据

通过采集全国范围内、不同行业的企业经营状况，为各地级市招商部门提供企业经营状况方面的招商情报支撑；同时借助大数据分析技术，对各产业链上下游企业进行全面评估评分，挖掘高价值的目标企业，为招商部门提供精准的招商线索，提升招商工作的效能，实现智慧招商。招商产业分析管理数据的算法规则主要包括以下几个方面：
第一，数据采集：采集企业数据并输入至分析模型中，分析模型对采集的企业数据进行处理，为每个企业建立企业画像；
第二，数据处理：提取企业画像中企业名称、经营状态、行业类别、变更事项、动产抵押、知识产权、失信信息、招投标信息等提取多个特征值，并根据多个特征值生成该企业的多个产业标签；
第三，数据算法：采用机器学习技术中的决策树算法对特定产业链的上下游企业画像进行评分分级。

By collecting the business operation status of enterprises across various industries nationwide, this dataset provides investment promotion intelligence support for prefecture-level city investment promotion departments based on enterprises' business conditions. Meanwhile, leveraging big data analysis technologies, it conducts comprehensive evaluation and scoring for enterprises in the upstream and downstream of various industrial chains, identifies high-value target enterprises, provides precise investment promotion leads for investment promotion departments, improves the efficiency of investment promotion work, and realizes smart investment promotion.
The algorithm rules for the investment promotion industrial analysis and management data mainly include the following aspects:
First, data collection: Collect enterprise data and input it into the analysis model. The analysis model processes the collected enterprise data and establishes an enterprise profile for each enterprise;
Second, data processing: Extract multiple feature values from the enterprise profile, including enterprise name, business status, industry category, change records, chattel mortgage, intellectual property rights, dishonesty information, bidding information, etc., and generate multiple industrial tags for the enterprise based on these feature values;
Third, data algorithm: Adopt the decision tree algorithm in machine learning to score and grade the enterprise profiles of upstream and downstream enterprises in specific industrial chains.

搜集汇总

数据集介绍

特点

该数据集名为“招商产业分析管理数据”，包含4302条企业经营状况数据，每月更新。数据集通过大数据分析技术为招商部门提供企业经营状况情报，并利用决策树算法对产业链上下游企业进行评分分级，以挖掘高价值目标企业，提升招商工作效能。