Designing a strategic model for insurance companies intelligence

 In the current competitive and risk-filled environment of the insurance industry, insurance companies need to gather up-to-dated information and knowledge to make appropriate decisions and use this information in their decisions. Decisions that have a great impact on the structure, processes and performance of the organization's members and can fundamentally affect the prediction of the survival of those organizations, profitability and on their nature.  Today, access to correct, effective and up-to-date information in a competitive business environment is one of the power tools for any company in making decisions and adopting competitive strategies of that company.Therefore, the efficient establishment of intelligent systems in the country's insurance industry seems to be a vital issue. In the meantime, the lack of establishment or inefficient induction of the intelligent system will be able to face many companies with challenges. An issue that has a negative impact on the competitiveness of these companies and needs further investigation. The purpose of the current research is to conceptualize the intelligence of businesses with a strategic approach and provide a model for measuring business intelligence in the insurance industry through a qualitative research approach.

 This is a qualitative research and the method of content analysis and in-depth semi-structured interviews with experts, managers and consultants of the insurance industry have been used. Qualitative content analysis can be considered as a method for subjectively interpreting the content of textual data through the processes of systematic classification, coding and creating themes or designing known patterns.In order to extract the codes, an attempt was made to conduct a total of 8 interviews using the theoretical sampling method until reaching theoretical saturation. In order to achieve the validity and reliability of qualitative data, the criteria of credibility, dependability or trustworthiness, acceptability or confirmability, and transferability were considered. To achieve these criteria, researchers carefully select key participants, combine data collection methods (such as interviews and note-taking), allocate sufficient time to conduct interviews, continuously review data and classes in terms of similarities and differences, and review the analyzes performed by project colleagues.

In this research, 43 codes were extracted as concepts related to intelligence. These codes were placed and categorized in six components and in two general dimensions of intelligence, relative to the specialized business environment and intelligence relative to the general business environment. These components include: intelligence towards the internal business environment, intelligence towards the business market, intelligence towards business competitors, business intelligence in supply, intelligence towards the small business environment and intelligence towards the large business environment

 Creating an innovative performance requires making real-time strategic decisions based on the information and data obtained from the intelligent system. Based on this, companies are successful if they act intelligently and are able to have proper knowledge of the data and information of their internal and external environment and turn that data into organizational knowledge and intelligence. Upgrading the intelligence system in an organization makes companies analyze the information of their surrounding environment faster and more accurately and save the results and make them available to decision makers when necessary. This topic will speed up the exchange of data, information and knowledge in the company and will be able to improve effectiveness, thinking and decision making. It is suggested that managers use the identified concepts to create and develop insurance companies and increase their intelligence to help achieve the company's goals.