KPI Analysis In Life Insurance Operations Management With Data Mining

For a life insurance industry to improve efficiency and service level, it needs to set up efficient management mechanism, adapted to carry out operations and the fierce market competition. Business intelligence begins to enter the life insurance industry, KPIs analysis is used. Based on the data warehouse, On-Line Analytical Process and Data Mining, this thesis describes the KPI Analysis System Construction and implementation.The thesis introduces the research background, describes the target KPI analysis of the superiority of the system, the overview of data warehousing, online analytical processing and data mining features, and a deep analysis of the three contact of the intrinsic nature. It also gives the steps of data warehouse design, analysis of the data warehouse architecture, discusses the multi-dimensional online analytical processing and analysis of drilling and drilling operations, describes the process of data mining and commonly used data mining algorithm and comparative analysis.The KPIs system in the thesis describes the data construction of the context of decision-making system and the formation of KPI target. CRISP-DM reference focuses on data extraction, transformation, loading the technical implementation of the entire ETL process. Taking "Lease premiums withdrawal rate" as an example target, this thesis describes the design of data warehouse model, and introduces the creation and corresponding SQL stored procedure for fact and dimension table. We describe the analysis of subject-oriented model of target KPIs Analysis System at the show. Based on data warehouse, online analytical processing integrates application and data mining technologies target KPIs analysis system design program. In theory, we put forward multi-dimensional analysis of complex query thought Optimize for target KPIs analysis system at the field of life insurance application made to explore potential.