Core Viewpoint - The Jinan Municipal Government is actively promoting the "Qiancheng Consumption Promotion Action" to enhance industrial stability and boost consumer demand through the establishment of a supply-demand matching service platform for enterprises [1][3]. Group 1: Platform Overview - The Jinan Enterprise Supply-Demand Matching Service Platform includes four modules: Display Area, Certification Area, Release Area, and Supply-Demand Matching Area [4]. - Since its launch in March, over 2,500 enterprises have registered on the platform, with nearly 10,000 products published [4]. Group 2: Platform Functions - The Display Area allows enterprises to showcase their products and enhance brand visibility [4]. - The Certification Area provides authoritative certification services to improve product credibility [4]. - The Release Area enables enterprises to publish supply-demand information and respond quickly to other enterprises' needs [4]. - The Supply-Demand Matching Area regularly publishes offline matching event announcements and updates national bidding information [4]. Group 3: Future Plans - The Jinan Municipal Bureau of Industry and Information Technology plans to optimize platform functions by improving the intelligent matching algorithm to enhance the accuracy and efficiency of supply-demand information matching [4]. - There will be a focus on strengthening collaboration with industry associations and external platforms to broaden information sources and enrich enterprise resources [5]. - Efforts will be made to increase the platform's visibility and usage rate to attract more enterprises, thereby driving high-quality economic development in Jinan [6].

Core Insights - The article emphasizes the importance of enterprise data as a core engine driving decision-making and business innovation across various industries [1] - Waterdrop Credit Open Platform provides a comprehensive enterprise big data service, offering a wide range of core data dimensions for both individuals and businesses [1] Group 1: Data Capabilities - Waterdrop Credit's platform aggregates over a thousand core data dimensions from enterprises nationwide, including business registration information, shareholder and executive structures, and branch networks [1] - The platform also includes in-depth data on intellectual property, judicial risk profiles, business dynamics, and crucial bidding data, establishing a credit information map for 370 million market entities [1] Group 2: Service Offerings - Waterdrop Bidding Information transcends traditional bidding information query websites by creating a multi-dimensional, intelligent, and high-value service system for individual users and corporate clients [5] - Users can perform intelligent searches and precise filtering based on various criteria such as project location, industry, budget, publication date, and project type [8] Group 3: User Engagement Features - The platform offers real-time monitoring and business opportunity insights, pushing notifications for new bidding announcements and key dynamics to help users discover collaboration opportunities [9] - Users can customize subscription plans based on industry categories, bidding methods, and specific keywords, receiving automated updates on relevant bidding information [12] Group 4: Analytical Tools - Waterdrop Bidding Information supports exporting filtered bidding data into structured tables for deeper analysis, aiding market research and competitive strategy evaluations [12] - The platform allows procurement departments to assess potential suppliers by querying their bidding history and performance scale [12] Group 5: Client Impact - Waterdrop Credit's big data services have significantly benefited hundreds of banks, securities firms, state-owned enterprises, and large internet platforms, enhancing cost efficiency and risk management [13] - The synergy between Waterdrop Credit and Waterdrop Bidding Information elevates the value of bidding information services, transforming them into essential resources for assessing business strength and market opportunities [13]

Group 1 - The legal profession is becoming a popular re-employment option for middle-aged individuals in certain cities due to low entry costs and flexible working hours [1] - The number of applicants for the National Unified Legal Profession Qualification Examination has been increasing, with 860,000 applicants in 2023, a 5.26% increase from 2022, and projections for 2024 to exceed 1 million [1] - A significant portion of applicants are aged between 26-35 (47.36%), with nearly one-third aged 36-50, indicating a trend of middle-aged individuals seeking new career paths [1] Group 2 - Despite the growth in the number of lawyers, challenges such as reduced case sources and intense competition are making it difficult for many lawyers to acquire clients [2] - As of the end of 2022, there were approximately 651,600 practicing lawyers in China, equating to about 4.6 lawyers per 10,000 people, indicating room for growth compared to the U.S. average of 40 lawyers per 10,000 people [2] - New tools like judicial big data and enterprise queries are being adopted by lawyers to improve client acquisition strategies [2] Group 3 - The "Qichacha" platform aggregates judicial information resources, providing lawyers with a comprehensive data retrieval environment to enhance their efficiency [3] - The platform's judicial big data feature allows for intelligent searches, helping lawyers identify companies with operational abnormalities or legal issues, thus aiding in client expansion [3][5] - Qichacha's advanced search module provides potential business indicators such as changes in registered capital and employee growth, allowing lawyers to offer targeted legal services [5][6] Group 4 - The platform supports extensive filtering options across various dimensions, including judicial cases and corporate information, enabling lawyers to efficiently identify high-quality business opportunities [7] - Qichacha's tender search function allows users to sift through 17 million dynamic tender data points related to legal services, facilitating precise information retrieval [7] - The platform also includes a venture capital database that helps lawyers target startups or rapidly expanding companies for potential legal services [7][8] Group 5 - Current legal apps on the market often have limited functionalities and dispersed query capabilities, failing to meet the diverse information retrieval needs of lawyers [8] - Qichacha has introduced a series of innovative features tailored to the legal industry, providing a one-stop service platform for lawyers [8]

Core Viewpoint - The "2025 Mining Industry Data Governance White Paper" released by Tencent Cloud and Yunding Technology provides a comprehensive analysis of the current state, challenges, strategies, trends, and case studies in data governance within the mining industry, aiming to guide digital transformation in the sector [1][2]. Current State of Data Governance - The mining industry faces a complex data governance environment characterized by a vast amount of heterogeneous data generated from smart mining initiatives, with varying levels of data governance maturity among companies [1][2]. - Data resources are abundant, but the conversion into usable resources is limited, leading to underutilization of data value and prevalent data silos [1][2]. - There is a significant shortage of data governance talent, and the uncertainty of funding investment returns hampers the progress of data governance initiatives [1][2]. Strategies to Address Challenges - Promote digital organizational transformation by establishing a multi-level data governance structure with clear responsibilities [1][2]. - Cultivate a digital talent pool focusing on recruitment, retention, and utilization across four dimensions [1][2]. - Build a unified data foundation to integrate data and provide services, addressing data processing challenges with Tencent's products [1][2]. - Accelerate the establishment of data standards covering various business models and lifecycle management [1][2]. - Implement strict data quality controls and establish a quality control system and verification rules [1][2]. - Break down data supply and demand barriers by creating resource directories and expanding application scenarios [1][2]. - Empower data elements to drive business decisions and enhance production efficiency [1][2]. Development Trends - Traditional miners are transitioning to "new-type miners" with multi-disciplinary knowledge [2]. - Data governance is shifting from independent construction to multi-faceted collaboration involving various stakeholders [2]. - Data weaving technology is reshaping data architecture for unified management [2]. - DataOps is creating a new paradigm for data governance, improving the efficiency of data product delivery [2]. - Deep integration of data and AI is enhancing the data governance framework and evaluation system [2]. - Establishing data operation centers to accelerate value release [2]. - Creating trusted data spaces to ensure data security and promote efficient data circulation [2]. Typical Case Studies - Shandong Energy Group's comprehensive safety production technology management platform has achieved data sharing, improving data quality and decision-making levels [2]. - The coal mine dynamic pressure big data analysis platform has reduced personnel workload and enhanced safety levels in the coal industry [2]. - Yunnan Energy Investment's safety production operation monitoring and emergency command center project has transitioned data online, empowering business development and driving model innovation [2].

Group 1 - The financial industry is undergoing a profound transformation driven by data, with institutions like banks, securities, insurance, and lending accelerating their digital transformation through enterprise-level big data [1][5] - Traditional financial services face multiple pressures including outdated risk control, weak customer reach, and high operational costs, leading to increased customer churn and inefficiencies [5] - Waterdrop Credit's enterprise big data solution provides a comprehensive "data collection-governance-modeling-application" system, offering three core capabilities: real-time decision-making data support, intelligent risk control warning models, and scenario-based service support [5][7] Group 2 - In the banking sector, enterprise big data is used to establish intelligent credit risk control and anti-fraud systems, evolving from credit assessment to ecological operation [7] - In the securities industry, enterprise big data supports the development of risk intelligent research systems and investor risk analysis systems, enhancing quantitative investment and compliance management [7] - In the insurance sector, enterprise big data facilitates the creation of customer identification systems and online claim processes, enabling dynamic risk control and pricing support [7]

在数字经济时代，数据已成为推动社会发展的核心生产要素。无论是企业优化经营策略，还是金融机构精准把控风险，企业大数据的深度应用正在为商业世 界注入全新动能。作为国内专业的企业大数据服务商凭安征信（水滴信用开放平台）依托覆盖全国的全维度企业数据库，以技术创新驱动数据价值释放，助 力客户在复杂市场环境中实现业务突破，并为激活消费信心提供底层支撑。 某股份制银行接入水滴信用开放平台后，通过实时监控企业司法涉诉、股权质押、关联交易、行政处罚等风险指标，信贷审批效率大幅提升，同时不良贷款 率显著下降。同时开放平台提供企业监测预警系统可提前识别企业潜在风险，为资产安全构建起动态防护网。 1. 提升市场透明度 通过企业信用信息可视化呈现商家经营状况，消费者可以在水滴信用实时查询企业信用信息，查看商户的司法风险、行政处罚等核心指标，明明白白消费， 放心大胆消费。 作为行业先行者，我们现已构建以3.3亿+市场主体为核心的企业信用信息图谱，在数据完整性、实时性、准确性三大维度建立了核心优势，在服务银行、证 券、大型互联网平台的过程中，我们形成覆盖信贷风控、精准营销、合规审计等多个场景的标准化解决方案库，低成本高效率的为客户的业务发 ...