Search for enterprises and applications. Applications can solve all - link problems of enterprise assets.
Data fragmentation has become a pain point in the industry, and breaking down data barriers has become a new engine
In April 2024, the Ministry of Finance issued the "Guiding Opinions on Strengthening Data Asset Management". The opinions pointed out that "with the goal of sharing the fruits of the digital economy and releasing the value of data assets, and with the promotion of the compliant and efficient circulation and use of data assets as the main line, we should orderly promote the assetization of data and strengthen the whole - process management of data assets." In the era of the digital economy, the "digital footprint" of enterprises on the Internet has become a key dimension for evaluating their real competitiveness. With the construction and advancement of the social credit system and the digital asset economy, new requirements for "penetrating insights" have been put forward for business query services.
One type is traditional business query platforms, which mostly focus on enterprise industrial and commercial information and judicial risks; the other type is APP data analysis platforms, which pay more attention to APP user data and download rankings. There is often a lack of effective connection between these two types of data. In reality, data such as the applications launched by enterprises on different channels, the SDKs they use, permission settings, user evaluations, and even delisting records are scattered across various platforms, forming isolated "data islands". In particular, information such as the survival rate of applications, update frequency, public opinion risks, and the relationship between assets and enterprises has not been systematically included in the business investigation system for a long time. This also leads to obvious deficiencies in the evaluation of the digital value of enterprises.
"Yingyongcha" (App Check) integrates information in aspects such as enterprise industrial and commercial information, judicial risks, and analysis of enterprise - related digital assets, and connects the entire link between enterprises and APPs. This product solves the pain points of information asymmetry, decision - making blind spots, and decision - making costs in business queries; for the general public to query enterprise industrial and commercial information, litigation information, and enterprise application analysis, it saves time and energy in searching, screening information, and identifying enterprise operation risks.
At the same time, "Yingyongcha" is highly consistent with the spirit of the "Guiding Opinions on Strengthening Data Asset Management" issued by the Ministry of Finance, and will promote the application of artificial intelligence in the enterprise digital asset economy and improve the service ability and efficiency of digital assets.
Yingyongcha breaks through application scenarios and provides a comprehensive data analysis model
The core breakthrough of Yingyongcha lies in the in - depth integration of the "digital assets" of enterprises in the mobile Internet with their underlying equity structure, investment relationships, technical cooperation, and public opinion dynamics, and the construction of a trinity analysis model of "assets - relationships - risks".
Specifically, by leveraging the basic business opening information of enterprises, combining fiscal and tax equity operation information + enterprise digital asset information, through indicators such as enterprise equity link perspective, business industry analysis, total number of users of digital assets, monthly active users, user conversion, user characteristics, asset lifespan, asset survival rate, and compliance with personal information protection, Yingyongcha conducts in - depth research on business development value and in - depth exploration of the industrial chain, accurately identifies the technical relevance of enterprises, and presents the enterprise technical cooperation network, competition and equity - related maps, and the operation status of digital assets in a visual way to provide strong support for the all - round analysis and decision - making of enterprises.
In addition, Yingyongcha can build a multi - dimensional quantitative indicator system based on the five major indexes of "vitality/expansion ability/influence/competitiveness/risk", and transform scattered data into quantitative indicators for direct decision - making, greatly improving the analysis efficiency.
For example, the "expansion ability index" of an Internet enterprise can clearly reflect its market development ability in the Internet ecosystem through dimensions such as platform penetration rate, digital asset scale, and classification diversity; the "risk index" helps users keep track of the enterprise's reputation dynamics and compliance risks in a timely manner by collecting public opinion information such as the enterprise's digital world security risks, compliance risks, and digital credibility. This transformation from "data to insights" turns enterprise digital assets from "hidden resources" into "visible value" and reconstructs the industry evaluation logic.
Currently, Yingyongcha mainly serves a wide range of groups, including investment institutions, government departments, data media, development and operation managers, enterprise managers, and marketing personnel. In investment and financing due diligence, investment managers can use the "vitality index" to judge whether an enterprise's business is stable, and analyze the sustainability of its product development through the regional user growth and activity of digital assets, and public opinion heat. In government supervision, the platform can assist in identifying industry risks and monitoring illegal applications; for enterprise managers, they can use the "competitiveness index" to evaluate their position in the industry, and at the same time understand the online dynamics and news public opinion of competitors to analyze their industrial layout and formulate precise and forward - looking business strategies; in market competition, marketing personnel can use the "influence index" to evaluate brand reputation and optimize advertising strategies through indicators such as user conversion comparison and public opinion reference.
"We are not just a data query tool, but also a 'CT scanner' for enterprise digital competitiveness," said the Yingyongcha team. "We hope that users can see a real, three - dimensional, and dynamic portrait of enterprises in the digital world before making decisions."
Build technical barriers and create a value engine for enterprise digital assets
In terms of data sources, Yingyongcha has not only integrated authoritative data sources such as judicial information, industrial and commercial information, and intellectual property rights, but also realized the automatic analysis of underlying data such as application functions, permissions, and code specifications through self - developed technologies such as automatic data cleaning, aggregation and correction technology, intelligent data collection technology, NLP technology, code analysis, and industry large models, forming a unique database covering more than 10 million pieces of enterprise dynamic data. This combination of "authoritative + self - developed" data sources ensures the compliance and authenticity of data and fills the gap in the field.
In the future, with the continuous improvement of the product by Guohua Zhisuan, "Yingyongcha" is expected to further expand data dimensions and service scenarios: on the one hand, it can deepen the integration with the industrial end and provide "digital transformation evaluation" services for traditional industries such as manufacturing and service industries, helping the in - depth integration of the real economy and the digital economy; on the other hand, it can strengthen the integration of international data resources and provide insights into enterprise digital assets for cross - border investment and international trade, helping Chinese enterprises participate in global competition.