Data expansion:
In the field of business investigation, the information searched by enterprises is quite complete. According to their official statement, the information of more than 65,438+500 million market entities in China has been included in this enterprise survey, covering 50 data dimensions such as listing information and ownership structure. The data sources are all from the national enterprise credit information publicity system, China Judgment Document Network, China Executive Information Publicity Network, China National Intellectual Property Administration, Trademark Office, Copyright Bureau and other open platforms, and all relevant information of enterprises can be inquired.
Under normal circumstances, it cannot be modified. The data of this platform comes from public government enterprise information, including industrial and commercial information, legal proceedings, court announcements, trademark patents, foreign investment, branches, change information, bonds, website filing, copyright, bidding and so on. These data support real-time updates, and this platform can be pushed in real time. This platform can also be information obtained from the national enterprise information system. However, I still suggest to check the formal enterprise credit publicity system. In addition, the data collected, sorted, analyzed and mined by this platform are all government public data, and users do not need to register.
There is also a query platform. Enterprise Dad is a free professional credit inquiry and monitoring platform, which is committed to providing professionals with convenient services such as subject credit inquiry, risk early warning and monitoring, and related genealogy inquiry. Based on public data, relying on the storage technology of big data distributed platform and advanced data management technology, and based on NLP natural language processing, graphic database, machine learning prediction and other technologies, enterprise dad not only provides inquiry and monitoring of the main credit information, but also deeply digs and analyzes the underlying data to meet the deep-seated product and service needs of customers.