How to Improve Collection Decision Strategies with Analytics
Predictive analytics, optimization and omni-channel communications can transform collections strategy efficiency and performance
Debt Collection Strategies: Solve the 6 Toughest Challenges
More effective debt collection strategies using optimization create a strategic advantage that builds customer loyalty and drives long-term profitability
Debt Collection Predictive Analytics: Benefits, Types and Uses
Discover how debt collection predictive analytics boosts recovery, cuts costs, and personalizes strategies with AI-driven models and case studies
Collection Strategies: Best Practices for the Digital Age
Omni-channel communications, analytics and optimization are bringing greater targeting to debt collection strategies, improving results and customer relationships
Can Digital Channels Work with High-Risk Collections Accounts?
Digital channels can deliver great results across all risk groups and the entire debt collection lifecycle, improving the customer experience as well as portfolio performance
How Compassionate Digital Collections Can Improve Your Bottom Line
Omnichannel technology is one key to humanizing your collections strategy and personalizing treatment strategies
CJEU Ruling Highlights the Need for Explainability in Analytics
Black box models will be even more difficult to justify after a recent European ruling - explainable AI and reason codes with credit scores are critical
Digital Debt Collection Trends in 2023 - From Culture to Strategies
Insights from a panel discussion into debt collection trends for digitization, omnichannel communications and more
Digital Collections: 7 Things That Can Make You More Successful
Digital collections isn't a new concept, but it has taken on additional relevance in the current economic environment. Here are some tips for success.
Digitalization and Artificial Intelligence: 5 Keys to Success
Digitalization and artificial intelligence will radically change retail banking. What does this mean for banks?
TBML: What Is Trade-Based Money Laundering?
Trade-based money laundering is the process of disguising the proceeds of crime and moving value using trade transactions to legitimize their illicit origins
9 Steps to Improve Contact Data Quality in Debt Collection
Contact data quality in debt collection can make or break your success — here are best practices for improving it
AML in the Pandemic: Three Success Stories
Three new success stories show how banks are using technology and best practices to fight AML in the pandemic
RPA for AML and KYC – Automate Financial Crime Investigations
With all the expense pressures that AML programs face, corporations are seeking ways to reduce the regulatory burden, and top of mind is robotic process automation
Can Your Machine Learning Do the Lambada?
Machine learning is powerful, but beware of solutions that promote it as a magical ingredient
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