Successful application of business intelligence for an insurance company

Source: Internet
Author: User

In recent years, an insurance company has made remarkable achievements in business development, channel development, product development, but with the development of business, business departments and management departments of enterprise data application, analysis, data mining needs more and more urgent, independent scattered in the system of the business data can not achieve within the scope of the insurance company data sharing, It is impossible for users to extract, process, analyze and utilize the existing data assets of the enterprise in time and accurately.

Throughout the outside, the insurance companies have gradually set up the corresponding policy management system, channel management system, transaction management system, image system, financial system, claims system and so on. Optimizing the information platform and using the business intelligence system become the trend of the industry to chase.

In this case, in the analysis of enterprise issues, the Enterprise for the future business and management of new requirements:

1, the need for the combination of indicators and management reports, the establishment of a unified company-wide data index system and management norms.

2, data centralized processing, conducive to corporate governance, to prevent illegal business risk, for data decision-making analysis to provide preconditions.

3, the establishment of more accurate business systems, segmentation of customer segments, to meet customer demand for personalized protection, improve the speed of claims and claims quality.

4, the construction of data Warehouse, data integration mining, for the Future network e-commerce construction, new business marketing to provide data base.

Based on an analysis of the company's full business, the company has identified the following functional topics when implementing the Business Intelligence System Finebi:

Actuarial management: including insurance risk prediction model analysis, mainly focused on the detection of risk.

Claim management: business claims analysis, claim cycle statistics, claims management statistics

risk management: including the CIRC, audit count, anti-money laundering system, etc.

Document Management: to manage the printing, use, void and inventory of documents

Management of receiving and paying: including the management of paid and receivable premiums

Global Analysis: a comprehensive and comprehensive reflection of the company's situation, to facilitate the management of the business monitoring and management, including: insurance coverage of all types of claims analysis, key operational indicators monitoring, business planning management, personnel performance assessment.

The following system architectures are built:

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Each application feature is designed with a range of dimensions and metrics.

For example, in claims management business claims analysis, dimensions can be set to: institutions, risks, types of insurance, time, type of insurance, business origin, customer type, type of accident, number of Chuxian, compensation category, liability, compensation, etc.

The indicators are set to: number of cases reported, number of reports cancelled, number of cases filed, number of write-offs, write-off amount, time-to-register rate, number of cases exclusions, number of pieces, exclusions amount, closing number, number of outstanding items, case-closing rate, total amount of decision, estimated loss, number of Chuxian (vehicles), Single-average premiums and so on.

The implementation of the Business Intelligence System (FINEBI) enables the enterprise to receive the following results:

1, improve the timeliness of information, the system provides timely and reliable data reporting and graphical analysis, to help business units and managers on the business situation, market development and customer behavior have a deeper understanding of the ability to provide support decision-making analysis.

2, provide enterprise risk management services, for blacklist customers, suspicious transactions to provide instant analysis, timely detection of risks, to avoid risk.

3, reduce the Sales management department, Finance Department, customer service department and other departments of the business workload, so that they from the heavy data collation free out.

4, to provide new sales methods and reduce the cost of sales, through the customer's excavation, segmentation to customers with targeted marketing and services. As well as the analysis of sales products, for product design and promotion to provide decision-making support

Successful application of business intelligence for an insurance company

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