Fraud detection in financial transactions using data analytics A Case Study on - Bank Of Maharashtra

To analyze the current fraud detection mechanisms in place at Bank of Maharashtra and identify potential weaknesses.

To implement data analytics tools and techniques to detect fraudulent financial transactions.

To evaluate the effectiveness of data analytics in improving fraud detection rates at Bank of Maharashtra.

To provide recommendations for enhancing fraud detection processes in financial institutions through data analytics.

Conduct a literature review on fraud detection in financial transactions and data analytics.

Evaluate the current fraud detection mechanisms at Bank of Maharashtra.

Collect and analyze relevant data on past fraudulent transactions at Bank of Maharashtra.

Implement data analytics tools and techniques to detect fraudulent transactions.

Compare the results of traditional fraud detection methods with the data analytics approach.

Provide recommendations for improving fraud detection processes at Bank of Maharashtra based on the findings of the study.