Typical Cases

National-level Data Platform

China Enterprise Credit Index

China Supply Chain Big Data Platform

Industrial Data Platform

Industrial Brain and Data Hub for Pumps and Valves in Zhejiang

Fujian Tea Industry Data Hub

Smart Platform for China's Pan Home Furnishing Green Building Materials Supply Chain

Financial System Data Platform

Data Hub of Everbright Bank Head Office

Soochow Securities - Financial Information Trusted Security

Financial Data Hub

《 Return to Case List

China Enterprise Credit Index

Background

The essence of the modern market economy is a credit economy. Credit is an effective means of optimizing the allocation of economic and social resources. Using credit to allocate resources is fairer than using only physical assets. Establishing a social enterprise credit index system can help the development of the digital economy.
In this index system, Octa uses privacy computing technology to ensure that data is encrypted during the process of multi-party circulation, completing index calculation and data transmission. This guarantees the security of data assets for all parties involved, as well as the overall security of the system, and prevents data leakage.

Solution

The index system uses enterprise data from the past decade, covering over 90 million enterprises across all provinces and industries in China. The data include enterprise business information, financial information, tax information, and third-party information, among others. By integrating static, dynamic, and historical indicators of Chinese enterprises into a cohesive logic, a new set of index systems has been established. On the one hand, the system can reflect the current status and future trends of individual enterprises in terms of finance, management, competition, credit, and business development. On the other hand, it comprehensively reflects the status of the industrial chain, supply chain, and value chain in the industry, and can also provide a reference for regional or national economic development trends.

Values

The China Enterprise Credit Index is a system for calculating the credit scores of businesses that was jointly developed by several research institutions, led by relevant regulatory departments and guided by the China Federation of Logistics and Purchasing. The index was designed by Octa using models and technologies for privacy calculations, data security, and other related areas.
Throughout the process of calculating, transmitting, and classifying data in the index system, data isolation, encryption, and other security measures are in place to ensure the security rights of all participating parties' data assets and to prevent data leaks.
The China Enterprise Credit Index provides a measurable standard for the overall, regional, and industrial evaluation of China's credit-based economy in the new era. It also provides effective decision-making references for optimizing the allocation of economic and social resources and regulating and developing factors. By analyzing and applying data, it will further promote the development of the digital economy and the factorization of data.

China Supply Chain Big Data Platform

Background

This project is jointly supervised by the People's Bank of China, the Ministry of Industry and Information Technology, the Ministry of Justice, the Ministry of Commerce, the State-owned Assets Supervision and Administration Commission, the State Administration for Market Regulation, the China Banking and Insurance Regulatory Commission, and the State Administration of Foreign Exchange. The main purposes of the project include:

1. Reducing the manpower and time costs of business operations.

2. Lowering the system construction costs by reusing blockchain facilities.

3. Reducing the financing costs of supply chain enterprises.

4. Enhancing the asset liquidity of supply chain enterprises.

5. Improving the credibility of assets and optimizing enterprise financial statements.

6. Efficiently expanding the participating parties to build a supply chain financial ecosystem.

Solution
Values

China Supply Chain Big Data Platform is constructed under the auspices of China Federation of Logistics and Purchasing, which is a joint regulatory platform of the People's Bank of China, Ministry of Industry and Information Technology, Ministry of Justice, Ministry of Commerce, State-owned Assets Supervision and Administration, General Administration of Municipal Supervision, China Banking and Insurance Regulatory Commission, and Foreign Exchange Bureau. Octa provides technology development, data operation and supporting upgrades for the platform.
The platform takes the acceleration of industry digitization, standardization, and modularization as the main line, striving to promote supply chain scenarization and ecologicalization, improve online and digital levels, and advance information transparency, turnover security, and production and sales stability in the industrial chain through deepening information collaboration effects and technological empowerment. With the support of trusted data, the platform aims to achieve multi-party mutual trust and consensus within and outside the industry, enhance the industry's public service capabilities and data interaction capabilities, and provide support for the market competitiveness and extension of the industrial chain.

Industrial Brain and Data Hub for Pumps and Valves in Zhejiang

Background

Yuhuan is known as the "Valve Capital of China". In 2019, the valve industry in Yuhuan had a production value of nearly RMB 35 billion, and the annual procurement value of copper rods, which are necessary for the industry, exceeded RMB 25 billion from other regions. Valve enterprises face some problems, such as requiring a large amount of copper despite being small in scale, having low bargaining power but being sensitive to fluctuations in copper prices, having a single procurement channel and uneven raw material quality, and being in a dilemma due to logistics blockages. In order to effectively solve these problems, Yuhuan City has joined forces with Octa and the Zhejiang Tsinghua Yangtze River Delta Research Institute Taizhou Innovation Center to jointly create the Intelligent Connect Platform for Valve Industry.

Implementation

By promoting the integration of technologies such as big data, cloud computing, blockchain, and the Internet of Things with the valve industry, information sharing, transaction security, logistics tracking, financial services and other services are provided to customers on the industry chain, achieving high-level connectivity and aggregation of resources on the industry chain, and helping enterprises to effectively reduce costs and increase efficiency.

1. Enterprise Big Data Service

By applying intelligent devices, intelligent management, and intelligent services, the Yuhuan Valve enterprise can achieve transparent management, improve the efficiency of equipment use and manufacturing.

2. Supply Chain Procurement Service

An enterprise alliance consisting of multiple companies replaces a single enterprise to achieve procurement and supply for upstream and downstream industries.

Based on big data analysis, intelligent matching of production and sales information ensures accurate and efficient matching of supply network information.

3. Government Decision Support Service

Through monitoring, evaluating, diagnosing, and predicting the industrial development, this service ensures the scientific formulation of policies, effective regulation of industries, and efficient service to society.

4. Supply Chain Financial Service

Utilizing technologies such as big data and blockchain significantly reduces the verification costs and information asymmetry problems in supply chain transactions.

Through the "real object, real situation, real-time" three dimensions, an "transaction credit" intelligent model is constructed, providing full-process, digital risk control for financing of small and micro enterprises.

Achievement

Within six months of the platform's launch in May 2020, a total of 105 companies signed cooperation agreements, achieving a procurement order amount of RMB 470 million and reducing raw material procurement costs by more than RMB 10 million for valve companies. During the operation of the platform, the valve industry in the city achieved a production value of RMB 20.9 billion, a year-on-year increase of 7.63%. (Data as of November 2020)


At the same time, the project results were selected for the China Communications Society's 2020 list of blockchain technology and application innovations, and received coverage and high praise from many important domestic media outlets such as People's Daily, Science and Technology Daily, and Zhejiang Daily, and was hailed as a model for upgrading traditional industries through technology services. Zheng Zhajie, deputy secretary of the Zhejiang Provincial Party Committee and governor, and Gao Xingfu, deputy governor, issued instructions, with Zheng Zhajie pointing out in the instructions that the reform achievements are worthy of recognition.

Client Profile

Valve industry is the second largest pillar industry in Yuhuan City. After nearly 30 years of development, there are more than 1,300 water and plumbing valve production and processing enterprises in Yuhuan, which is known as the "Valve Capital of China". At the same time, Yuhuan City has continuously expanded its export market. Currently, Yuhuan valves account for 23% of the total export volume of similar products in China, and its products are exported to more than 130 countries and regions including Europe, America, Japan, and Southeast Asia.

Fujian Tea Industry Data Hub

Background

The Fujian Tea Industry Data Hub is a data hub project led by the Fujian Tea Science Society and technically supported by Octa, jointly constructed with several leading tea enterprises and data operation companies in Fujian Province. The hub is based on the production and sales logic of the Fujian tea industry and agricultural production, and aims to build a basic agricultural information management and data & technology framework. It uses technologies such as blockchain, trusted computing, and privacy computing to perform data traceability, rights confirmation, credit granting, transactions, and safeguard data security. The system supports private cloud deployment and SaaS services, supports the integration of agricultural ERP, physical agricultural facilities, and inspection and testing systems, and supports multiple user interfaces such as web, mobile app, and mini-programs.

Solution

This plan aims to establish digital and standardized operations, improve the mechanisms of production, sales, transportation, warehousing, and distribution, as well as the supervision mode of banking, enterprises, finance, and taxation services. It will enable trade early warning, connect to platform resources, integrate agricultural resources, facilitate financial institutions' funding channels, and support the implementation of policies that promote agriculture and small and micro sized business development.

Values


The digital traceability platform for the tea industry standards utilizes blockchain technology to trace the entire process of agricultural products, including the procurement of agricultural materials, cultivation, nurturing, harvesting, acquisition, processing, warehousing, transportation, sales, inspection, and evaluation. This platform ensures food safety, promotes the development of local specialty products, drives local economic growth, and effectively regulates each stage of the process.

1. Improve the coordination and production efficiency of the agricultural product industry chain.

2. Ensure food safety and improve product quality, thereby promoting local economic development through sales.

3. Enhance the government's guidance, subsidies, and effective regulation of the agricultural sector.

4. Consumers obtain high-quality agricultural products, and their quality of life is improved.

5. Tea growers receive expert guidance on professional cultivation to optimize soil, improve product yield and quality.

Smart Platform for China's Pan Home Furnishing Green Building Materials Supply Chain

Background

The platform provides B2B trading services for pan home furnishing industry cluster enterprises. It enables online procurement of raw materials, online sales of products, online tracking of design services, and online settlement of payments. The platform also connects with financial institutions to provide order financing and credit assessment services. It aims to support the development of local characteristic pillar industry clusters and to implement inclusive finance policies for small and micro enterprises.

Solution

This solution is suitable for industrial associations (industrial parks, gathering areas, etc. with a certain scope) or government-led industrial blockchain collaborative scenarios. It enables collaboration between the upstream and downstream of the industry, provides a trading environment, and has a demand for supply chain finance and industrial chain collaboration. It also has a demand for industrial digitization and data security, product traceability and certification, product quality, and product branding. The use of blockchain technology can effectively solve the aforementioned issues.

Values

1. The collaboration between upstream and downstream industries is more efficient.

2. The blockchain-based traceability system makes product tracing more convenient and efficient, and the data is authentic and reliable.

3. With the support of the supply chain financial system, the problem of difficult loans for small and medium-sized enterprises will be gradually solved.

4. The acceleration of the industrial digitization process promotes the rapid development of the digital economy.

5. Based on the industry factor trading platform, it can match orders between supply and demand sides to improve transaction efficiency.

6. Based on a trusted foundation chain platform, industrial chain data is more secure and reliable.

7. Based on the platform, the risk control system of the bank is more complete, and the use of funds is more accurate and efficient.

8. Data sharing can be achieved based on the blockchain platform.

9. It promotes the rapid development of the industry, more efficient matching of social resources, and safer digital transformation of enterprises.

10. It promotes better, faster, and more comprehensive development of the industry economy.

Data Hub of Everbright Bank Head Office

Background

With the development of Internet finance and financial technology, banks promote online and mobile business, making the network boundary blurred and bringing many unknown external risks and threats. Combined with the business scope and operation rules of the bank information system, the challenges of the bank network and information system are summarized as follows:

1. The risk of data security and privacy protection is becoming increasingly serious.

2. Security risks and challenges in new forms are increasing.

Implementation Plan

For the problems existing in the bank network and information system, Octa Innovations provides Continuous Immune System customization services, including trusted defense and automated -whitelist-based user behavior analysis capabilities, providing multi-level security insights such as system, application, data, and users for business systems, and providing more efficient and accurate active defense capabilities for information systems.

Product capabilities and specialties include:

1. Active Defense, Trusted Authentication

With the concept of zero trust, based on the dynamic verification of the host equipment and execution link by the trusted root to realize more active defense and improve the basic security of the system.

2. Whitelist and Automatic Policy Algorithm Management

Automatically collect and train strategic models by deep learning technology to improve the efficiency of operation, maintenance and protection

3. Precaution of Permission Loss

Even if the key permissions are lost, the unauthorized program cannot be started to protect the security of the core information system.

4. Data Tamper-Proof

Autonomous blockchain technology provides protection for key data: the data on the chain cannot be tampered with, and all modification records can be verified and traced.

5. User and Entity Behavior Analysis (UEBA)

Combined with enterprise business system, deep learning technology is used to make ‘AI portrait’ for users and system, to efficiently identify anomalies and give timely alarm.

Effect & Yield

1. Introduces new architecture and AI technology to enhance host security warning capability and the ability to resist unknown threats.

2. Enhances the security management of business systems, especially the fineness management of security mechanisms based on different users (devices).

3. Reduces the complexity of system security operation and maintenance management by reconstructing the security perspective from user and system dimensions.

Soochow Securities - Financial Information Trusted Security

Background

At present, the key basic information system in the financial field develops rapidly in data sharing and communication, and the improvement of its informationization, intelligentization and networking degree makes the system increasingly dependent on the network. On the one hand, the data value carried by the financial platform is also getting higher and higher, so once be attacked and damaged, it will cause incalculable losses; On the other hand, the traditional security measures are difficult to identify and detect the unknown attack behavior, and the introduction of new security technology has obviously become important.

Implementation Plan

Based on reliability, maintainability, usability, and security as a starting point and combined with the existing information system of Soochow Securities, The Octa Continuous Immune System is mainly responsible for the two core modules of program security and data security to help Soochow Securities setting up a new generation of information security defense system with zero trust and the visualization for the whole process. System deployment is as follows:

The platform is composed of two core modules, the trusted protection module and the data security module based on blockchain. It mainly realizes the following three functions:

1. Realizes security situational awareness, based on trusted computing and whitelist technology, and according to ‘MLPS 2.0’.

2. Optimizes the consensus mechanism of blockchain to realize tamper-proofing and traceability of data.

3. Starting from improving user experience, continue to strengthen the supporting role of IT technology in securities business activities.

Effect & Yield

1. Introduces new host security protection architecture mechanism and AI technology to reduce the security risk of server being invaded.

2. Improves and strengthens the unified management of assets management platform, making dynamic assessment and presentation for asset risk.

3. Accesses the unified security management and security operation automation service center platform to improve the security and manageability of the business system.

4. Provides security situational awareness and pre-attack prevention by correlating the threat information platform’s own vulnerabilities and protection status.

5. Realizes the standardization of safety management and the security decision with a definite object in mind to enhance the safety management level

Customer Introduction

Soochow Securities was established in 1993, now has 18 branches and nearly 140 securities business outlets. The company was listed on the Shanghai Stock Exchange in December 2011, and it is the 18th listed securities firm in China. The company has been awarded Class A A securities firm rating for the fifth consecutive year.

Financial Data Hub

Background

The Digital Hub project is led by DaYou Digital Resources Co., Ltd., with technical support provided by Octa, and multiple state-owned banks participating in planning and testing the project. By jointly building risk control models and involving multiple data sources in digital risk calculation, more credible enterprise risk index data is obtained. Based on this, the precision model and its dimensions of data risk control are continuously enriched, addressing the business pain points of accurate control of enterprise financing risks for banks.

Values

Typical Cases

National-level Data Platform

China Enterprise Credit Index
China Supply Chain Big Data Platform

Industrial Data Platform

Industrial Brain and Data Hub for Pumps and Valves in Zhejiang
Fujian Tea Industry Data Hub
Smart Platform for China's Pan Home Furnishing Green Building Materials Supply Chain

Financial System Data Platform

Data Hub of Everbright Bank Head Office
Soochow Securities - Financial Information Trusted Security
Financial Data Hub