Global Bank Reuses Data to Fight Fraud and Improve Customer Experiences


In the wake of COVID-19 and new digital operations, banking and financial institutions have to cope with increasing bank fraud incidents.

This case study highlights how Teradata helped a top 10 global bank build out a predictive analytics strategy to boost fraud detection and improve customer experience. Download to learn how the bank achieved its goals, including:

  • Protected 15 million customers from remote access takeovers
  • Reduced the number of false positive alerts or account takeovers
  • Cut call center costs and volumes
  • Improved customer service with chat and email solutions


Fill out the details below


How would you describe your current data analytics strategy?

Early stages; exploring analytics solutions​
Looking to enhance legacy analytics platforms​
Moving analytics from on-prem to cloud​
Well-established data analytics roadmap
No plans at the moment​

Are you currently exploring or deploying cloud-based analytics solutions?

Yes, we have already deployed
To implement within next 12 months
To implement within next 24 months​
Exploring, but no concrete plans​
Still undecided​
No plans at the moment

I consent that Teradata Corporation may occasionally send me Teradata Marketing Communications emails and/or call with information regarding products, data analytics, and event and webinar invitations. I understand that I may unsubscribe at any time by following the unsubscribe link at the bottom of any email I receive.