Methodological Problems with Big Data When Conducting Financial Crime Research

Dr. Lokanan used a Research and Professional Development grants for a project that explored the problems in coding and calibrating big data from financial crime cases to highlight future research.

Conducting primary research using financial crimes’ databases can be difficult, particularly in areas where documentation does not only involve instances of financial misconduct; but, also big data and cases of multiple wrongdoings. The present case study will give readers insights into some of the problems that researchers’ experienced when coding and calibrating big data from financial crime cases for further empirical analysis. In this case study, the coding procedures used to collate and arrange the data for further analysis are described as well as the modifications that were made to analyze the data. Areas of future research are highlighted.