1. Introduction  
1.1 Theme of the survey  
1.2 Existing surveys on Causal Inference  

2. Overview of Causal Inference  
2.1 Correlation Does Not Imply Causation  
2.2 From Association to Causal Analysis  
2.3 Directed Acyclic Graphs  
2.4 Counterfactual explanation  
2.5 Causal Effect Estimation  

3. Statistical Underpinnings of CI  
3.1 Bayesian Causal Network  
3.2 Granger causality  

4. Extended CRISP-DM by Incorporating Causal Inference  

5. Review of Papers  
5.1 Survey Based on Domains  
5.1.1 Banking  
5.1.2 Finance  
5.1.3 Insurance  
5.2 Survey Based on Causal Inference Methodologies  

6. Tools and Software of Causal Inference  

7. Implications for Managers and Researchers  
7.1 Implications for Academic Researchers  
7.2 Implications for Managers  

8. Conclusions