Introduction
In the context of the big data era, data has long been an important means of production in the digital economy. The ability to mine data has become the driving force for the digital transformation of enterprises. As far as the financial industry is concerned, if the operation and management methods cannot keep up with the development of the big data era, the value of data will not be fully utilized. As a comprehensive data platform that combines knowledge storage, knowledge representation and knowledge reasoning, knowledge graph can be applied to financial business and can cooperate well with traditional processes to provide enterprises with a starting point in the era of big data.
Table of contents
● 1. Introduction to knowledge graph
● 2. Pain points in the construction and application of knowledge graphs
● 3. Whale Map—a convenient and reliable knowledge graph platform
● 4. The value and characteristics of Whale Chart
● 5. Financial application scenarios of Jingtu platform
● 6. Conclusion
In the Whale Map Knowledge Graph Platform, Facilitating Deep Insights into Financial Business (Part 1), we explained the role of the knowledge graph and how to build a knowledge graph, and introduced the product architecture of the Whale Map knowledge graph platform. In today's article, we will continue to introduce you to the value, features and financial scenarios of the Whale Map knowledge graph platform.
4. The value and characteristics of Whale Chart
■ Provide knowledge map construction and service platform
Whale Map is a one-stop construction platform that supports users to simply and quickly build various business knowledge graphs to realize business value. The platform provides full-process capabilities from source data management, graph schema design, graph construction (knowledge extraction, knowledge fusion, etc.), graph storage, graph management, graph visualization and analysis. Whale Map can be used as a platform for enterprise knowledge capabilities to produce various industrial chain maps for application scenarios. Based on this platform, in the follow-up, according to the actual needs of customers in investment research scenarios, the function enhancement development of map editors and browsers can be carried out.
■ Map construction is simple and flexible
WhaleGraph provides a variety of construction methods, including mapping construction, extraction construction, etc. The model of linkage construction can effectively reduce the workload of architecture by more than 25%.
■ Strong ability of natural language processing
Whalemap can reduce the amount of text data labeling by more than 30% through active learning and other methods. A variety of data extraction methods and knowledge fusion solutions are embedded in the platform, and 18 kinds of NLP algorithms are built in. Based on its efficient base model, it can effectively support business domain switching.
■ Excellent analytical capabilities to effectively support business needs
Whalemap supports billion-level data storage and second-level data query. The platform is embedded with 30+ analysis algorithms in five categories, which can be applied to more than ten scenarios. Its built-in analysis algorithm can cover most of the commonly used business scenarios at present, including group faction identification, risk event transmission, commodity correlation, guarantee chain identification, graph question-and-answer reasoning, etc. In addition, WhaleGraph can also provide algorithm expansion and customization services according to actual business needs, and can adapt to complex and demanding application scenarios.
5. Financial application scenarios of Whale Chart
Whale Map is a knowledge graph platform specially designed for the financial field. It is characterized by a sound construction process, excellent analytical capabilities, and a powerful architecture. At present, Whale Map has adapted to the specific business needs of a variety of financial industries, and can also cooperate with customers in customizing business scenarios, which can effectively assist financial companies in improving the efficiency of specific business content.
5.1 Risk Management
smart audit
The current internal control and compliance system is not perfect and the speed of change is slow. It is difficult to couple with the rapid development and changes of the domestic banking industry. Financial cases such as fraudulent loans, fund misappropriation, false financing, and telecommunications fraud occur from time to time. Bank auditors lack effective tools. It can effectively dig out the information hidden under the superficial information in massive business data and huge customer groups.
The Jingtu intelligent audit platform can import a large amount of existing bank data into the graph database to generate graphs, and use expert algorithms to track abnormal capital flows and determine risk transmission.
Using Whale Chart to conduct bank audits can help banks effectively reduce costs and increase efficiency, and comprehensively improve business capabilities. The specific advantages of the whale map are as follows:
■ faster
It can quickly realize massive data exploration, complete the overall audit data screening and analysis faster than manual, and can discover unknown laws and information during data exploration, helping organizations and enterprises understand the overall situation more intuitively.
■ more accurate
It can accurately locate data problems and locate high-risk business modules more accurately than manual work. Through accurate and in-depth analysis of the correlation between various data, it can provide institutions and enterprises with more effective risk warnings and result predictions.
■ cheaper
There are no boundary constraints, the cost is far less than the invisible accumulated labor, and the cost performance is higher. It can easily cope with rapid business development. It can also regularize and solidify problems into the system to facilitate calculation or judge the development trend of problems.
Business-to-public risk control
Using the Whale Chart for corporate risk control can dig deep into the hidden risks of the enterprise and find out the undisclosed risk-related data of the enterprise. Taking company A as an example, public information shows that the company does not have high-risk situations. However, according to the data association information in the map, it can be found that it has the same shareholder C as Company B with serious violations. The Whale Map Knowledge Graph can alert auditors to potential risks by mining deep information and giving early warning prompts, thereby saving a lot of labor and time costs for searching, and at the same time reducing the probability of company losses.
5.2 Insurance field
Insurance claims
During the routine claim settlement process, the claim settlement personnel need to judge whether the primary disease claimed by the customer is within the scope of insurance coverage based on the customer's medical records, diagnosis instructions, hospital admission and discharge records, etc. This process needs to integrate information from multiple dimensions such as the insurance products purchased by customers, product protection responsibilities, and diseases covered by liability protection. At present, insurance claims involve multiple processes such as entry, preliminary review, review, and adjustment. The business is complex and requires high professional knowledge of claim personnel. This is also one of the important factors that make it difficult to improve the timeliness of insurance claims.
The insurance claims system based on Whale Map can automatically correlate the insurance liability of the insured product and the corresponding coverage through the insurance information of the insured, so as to quickly reason and draw the conclusion of the claim. At the same time, through the relationship between the medical expenses in the customer's invoice and the medical insurance liability, the medical items within the coverage of the insurance product can be automatically screened out, and the compensation amount can be quickly adjusted. Taking health insurance as an example, diagnosis and treatment, hospitalization, judgment of rationality of medication, and refined underwriting rules can all be quickly realized through Whale Chart.
Whale Map can not only bring technological innovation and efficiency improvement to the insurance claims business, but also upgrade the business through the following features:
■ Intelligent association
Through the insurance information of the insured, the insurance liability of the insured product and the corresponding coverage are automatically associated, and the conclusion of the claim can be quickly deduced.
■ Improve timeliness
Compared with manual claims, Whale Chart can improve the timeliness of claims and effectively discover the risks of claims, reducing the probability of false claims.
■ Quick adjustment
Through the relationship between the medical expenses in the customer's invoice and the medical insurance liability, Jingtu can automatically screen out the medical items covered by the insurance product, so as to quickly adjust the compensation amount.
Intelligent marketing assistance
There are many insurance products in various categories of insurance companies, including general medical insurance, million-dollar medical insurance, critical illness insurance, cancer prevention insurance, life insurance, pension insurance, endowment insurance, etc. Product promotion channels include offline activities, active marketing and traffic portals exposure etc. In order to improve the marketing conversion rate, insurance brokers need to recommend insurance products that match their characteristics to customers.
Whalemap can assist in every stage of marketing business. In the marketing entry period, Jingtu intelligently pushes upstream and downstream potential customers to front-line insurance brokers, which can help business personnel quickly identify and judge customers' insurance preferences. In the transformation stage of the growth period, Whale Map will use the knowledge graph platform to push suitable insurance products and related speech skills to business personnel.
Expanding to specific business issues, Whale Map can help insurance companies solve current business difficulties from multiple aspects. At present, the business capabilities of insurance salesmen (insurance agents) are uneven, and product recommendations based on knowledge graphs can help salesmen develop their careers. There are many types of insurance products and types of insurance, and it is possible to recommend suitable insurance products through knowledge-enhanced user multi-interest modeling. In the case that the salesperson does not have enough knowledge of the insurance products in the industry, the salesperson usually cannot give a good answer to the user's comparison inquiry about other insurance company products. At this time, the analysis of competing products based on the knowledge graph can quickly provide support to the salesperson. , to help business people make high-quality answers.
5.3 Investment Research
Fundamental investment research needs to consider the relationship between upstream and downstream, competition, equity, the company's main products, subdivided products, financial indicators, etc., and the industrial chain map serves for it. Its main application scenarios include assisting fundamental investment Research, fundamental risk control, event transmission early warning, etc., along with data diversity and structured and graphical integration, form an intelligent digital application capability for derivation and effect transmission.
Taking the industry chain analysis based on knowledge products as an example, Whale Map can cover all listed companies and all industries, provide accurate and quantifiable industry analysis, and perform cross-market information monitoring and data integration for real-time market dynamic monitoring.
epilogue
As a leader in the smart application of data economy, the financial industry has made remarkable achievements in artificial intelligence + data empowerment business. Against the background of the times, the Whale Map Knowledge Graph Platform, with its powerful graph analysis technology and user-oriented graph construction technology, can help in-depth insight into financial business, enhance data value, and tap potential risks.
In the future, knowledge map products will also be gradually improved along with the advancement of artificial intelligence technology and the upgrading of the financial industry. In the next development of Jingtu products, it will continue to improve the level of data governance according to the needs of the industry, and strive to establish a bank-wide knowledge graph application platform. By continuously expanding the existing analysis and extraction algorithm capabilities, it will promote the digitization of the banking and even financial industries. Transformation, leveraging the new pattern of data elementization in the financial industry.