In recent cases, I’ve seen how advanced data analytics can uncover discrepancies that traditional methods might miss. For instance, using tools like ACL or IDEA has significantly improved our ability to track unusual transaction patterns. I’m curious to hear how others are integrating tech into their investigations and if there are specific techniques that have yielded noteworthy results.
I totally agree with you on how tools like ACL can shift the game in detecting fraud — from my experience, visualizing transaction data can really highlight outliers that might otherwise blend in. I’ve started integrating Tableau for this purpose, and it’s been eye-opening to see trends emerge that we’d previously overlooked.
Using IDEA for anomaly detection really opened my eyes to hidden patterns. Have you tried incorporating machine learning techniques for increased accuracy, @simon_h92?