Industry case ｜ digital operation base helps the transformation of life insurance industry

China is the largest country in the world 、 The most dynamic life insurance growth market , It is expected to maintain a double-digit growth rate in the next few years . In recent years , With the development of the insurance industry and the intensification of market competition in the insurance industry , Insurance companies are facing higher requirements in management and operation , From regulation 、 competition 、 The pressure of technology update and globalization is constantly promoting the transformation of the operation mode of insurance companies .

at present , With the rapid development of the industry , Many insurance companies' existing platforms are difficult to support the growing demand for analysis , Each team has encountered the following challenges in the development and use of data ：

• sales 、 Business departments such as operations have different statistical caliber for the same indicator , Affect normal business decision-making activities , So that it can not effectively support the landing of the company's strategic goals ;

• For department heads and business analysts , The response of existing big data platforms to ad hoc queries is too slow , Therefore, it is difficult to obtain the required statements in time , It is difficult to analyze flexibly according to the requirements of business agility ;

• For the data development team , We need to face similar needs repeatedly and build wheels repeatedly , In addition, the more reports developed , The greater the difficulty of subsequent operation and maintenance .

Data driven insurance industry refined operation

Kyligence  Intelligent multidimensional database relies on its powerful  AI  Enhancement Engine 、 Multidimensional pre aggregation 、 Intelligent recommendation and high concurrency , Help customers with extremely low  TCO  Accelerate digital transformation , Build a digital business department , Help the fine operation of Insurance .

• Labor cost savings
  ：Kyligence  Visual modeling 、AI  Enhance the engine and multi-dimensional automatic pre aggregation , Shorten the development time of indicators  
  50%
  , Every year brings
  Millions of
  Labor cost savings .

• Shorten the data delivery cycle
  ：Kyligence  Provide a visual model development environment , Help data modelers reduce the difficulty of modeling , At the same time, it greatly accelerates the development speed of the model , The development cycle of a single theme can be shortened from weeks to days , Will bring  
  5  times
  Improved computing efficiency .

• Agent level analysis granularity
  ： Compared with supporting queries at the business area level ,Kyligence  Can support to the business group 、 Even agent level analysis , And it can provide high concurrent query response capability at the second level .

• Data assets precipitation
  ：Kyligence  Provide a low code model design and management platform , Model metadata can be accessed to the data asset management system in a lightweight way , Precipitation data asset model .

Next, we will take the more common in insurance agent management “ Increase the number of people ” and “ The basic law ” For example , Introduce some problems that life insurance industry often encounters in data analysis , Such as analysis report solidification 、 Data update is not timely 、 Slow query response 、 Weak concurrency support , And how the life insurance industry can release the potential of business self-help analysis by shortening the data development process and a more reliable index system , Create a digital business base .

Scene one ： Multidimensional staff increase analysis

Increasing staff can be simply understood as increasing the business personnel of insurance companies . In the process of increasing staff , Timely analysis of staff increase will help the company grasp the achievement of staff increase in time , And then promote the realization of the company's strategy .

The increase analysis usually involves retention 、 Core indicators such as staff increase rate and achievement rate of staff increase . During the staff increase analysis , The company hopes to be able to 、 Analyze the retention rate of the company's personnel by region and personnel source 、 The increase rate and the achievement rate of the increase . These requirements cannot be achieved through a few separate reports or some simple indicators . But most of the time , Due to the limitations of the company's data platform and Analysis Technology , The development of an indicator may take several days , High development cost , It makes the company unable to track the progress of staff increase in time .

here , With the help of  Kyligence  Multidimensional analysis and processing capabilities .Kyligence  It will help enterprises identify typical analysis patterns from historical queries , So as to accelerate the construction of the company's index system , Simplify index platform management , Empowering insurance companies to conduct staff increase analysis from multiple dimensions , for example ：

• Time dimension
  ： Customize the query cycle , Like the sun 、 month 、 Years etc. , Comprehensively grasp the achievement of staff increase within a specific time period ;

• Organizational dimension
  ： Judge the achievement of the company's staff increase from different organizational structures , Such as department 、 Project team or region , Find out the weak links of current human resources in time ;

• Recruitment source
  ： Comprehensively judge the recruitment effect of various channels , So as to determine the next tilt of resources .

Scene two ： Index system helps basic law analysis

The basic law is the basic administrative measures for agents , It is the agent business assessment 、 Career promotion and income management measures , It stipulates the distribution pattern of interests within insurance companies .

When an insurance company builds a basic law analysis platform , There are usually several kinds of problems ：

• The index system is complex
  ： Different levels of the company focus on different , For example, the head office pays more attention to the target achievement rate 、 Year on year growth rate 、 Commission rate, etc , I hope to optimize the overall objectives of the company and make decisions accordingly ; The middle level pays more attention to the goal achievement rate of the team , Contributions of personnel at different levels ; Front line employees pay more attention to their promotion space , I want to view personal data such as the number of new insurance policies ;

• The agent base is huge
  ： data display ,2021 In the first half of, the total sales manpower of China's five listed life insurance companies was  336  ten thousand people , The number one China Life Insurance is as high as  115  ten thousand , Therefore, the cardinality of the analysis object is huge , Except for the management of the company , All team leaders and employees hope to check the progress of each business segment indicator in real time ;

• Frequent organizational restructuring
  ： The organizational structure and personnel of insurance companies change frequently , for example ,Larry  yes  S  A salesman of the company , Working in Shanghai headquarters , After a while , He was transferred to Beijing Branch , At this time, the analysis platform cannot reflect this change in time , Affect the subsequent sales data statistics .

With the help of  Kyligence  Multi dimensional automatic pre aggregation and other capabilities , Insurance companies will be able to deal with these problems easily , Build a complete set of customized index system , meanwhile  Kyligence  It also provides cost-effective high-performance query capabilities , Support more users to use online , Help enterprises release the potential of business self-service analysis ：

• Data services supporting unified indicators
  ：Kyligence  It will help different business departments share business logic , So that they can get a more comprehensive perspective to share data , Help enterprises effectively tap their value , Drive the company's decision-making and the realization of strategic goals .

• comprehensive 、 Multilevel analysis
  ：Kyligence  The superior performance of will meet different levels of the company 、 Analysis requirements of different particle sizes , For example, at the head office level , The leadership of the company can check the target achievement rate of the company in the current period in time 、 Year on year growth , And based on this, optimize the company's overall objectives and formulate strategies ; Individuals can also view their performance completion in real time , Adjust the business operation direction in time .

• Finer grained concurrent access
  ：Kyligence  It provides stable and high concurrent query capability , Even when the total number of daily queries reaches millions , It can also stably provide second level high concurrency ad hoc access .

• Flexible response to changes in organizational structure
  ：Kyligence  It supports tracking the dynamic changes of employee information through dimension snapshots , It ensures the query performance , It also avoids the unnecessary cost of model data refresh , Thus, different data analysis needs are met , Greatly improve the efficiency of big data analysis .

at present  Kyligence  It has reached strategic cooperative relations with a number of domestic head insurance enterprises , By helping the life insurance industry shorten the data development process and build a more reliable index system to build a digital business base , Unleash the potential of business self-service analysis , So as to help major insurance companies better carry out data mining and precipitation of data assets , Help business decisions .

About  Kyligence

Shanghai Juzhi Information Technology Co., Ltd  (Kyligence)  from  Apache Kylin  Founding team at  2016  Founded in 2000 , Committed to building the next generation of enterprise level intelligent multi-dimensional database , Simplify multidimensional data analysis on the data lake for enterprises （OLAP）. adopt  AI  Enhanced high performance analysis engine 、 Unified  SQL  Service interface 、 Business semantic layer and other functions ,Kyligence  Provide cost optimal multidimensional data analysis capability , Support enterprise business intelligence （BI） analysis 、 Flexible query, Internet level data service and other application scenarios , Help enterprises build a more reliable index system , Unleash the potential of business self-service analysis .

Kyligence  Has served China 、 The United States 、 Several banks in Europe and Asia Pacific 、 negotiable securities 、 insurance 、 manufacture 、 Retail and other industry customers , Including the Construction Bank 、 Pudong Development Bank 、 China Merchants Bank 、 Ping An Bank 、 Bank of Ningbo 、 Pacific Insurance 、 China UnionPay 、 saic 、Costa、UBS、MetLife  And other global well-known enterprises , And with Microsoft 、 Amazon 、 Huawei 、Tableau  Wait for technology leaders to reach a global partnership . At present, the company has been in Shanghai 、 Beijing 、 Shenzhen 、 Xiamen 、 Wuhan and Silicon Valley in the United States 、 New York 、 Seattle and other places set up branches or offices .