Identifying key indicators affecting the quality of decision-making in business intelligence systems by delphi method and dematel technique

In accordance with Simon's decision-making model, this study first tries to identify the key indicators of business intelligence systems as a set of technologies and processes enhancing the quality of decision-making system in organizations. Next, evaluates the existence of causal relationship between the decision stages and the key indicators. To identify the key indicators of business intelligence in each stage of Simon's decision making model, this paper uses Delphi method.Open-ended questions and in-depth interviews were conducted by snowball method with18 experts in the field of development and implementation of business intelligence systems in financial organizations and the final indicators were extracted. The main indicators were identified after analyzing the cause-and-effect relationships between the existing relationships and each stage of the Simon model. This paper uses dematel technique to determine effective and influential relationships and by prioritizing indicators in terms of impact and effectiveness, the results discussed. Finally, executive proposals provided to individuals responsible for development and implementation of business intelligence systems in financial organizations. The findings support that owning a business analysis department in the organization has the most interaction with extracted key indicators. Based on Simon's decision-making model, creating, implementing, and monitoring key performance indicators (KPIs) play a key role in enhancing decision quality in business intelligence systems, For financial institutions, the quality of decisions plays a crucial role in their success in a competitive market. Therefore, the results obtained through this research can be used by those responsible for the development and implementation of business intelligence systems.