Risk-Aware Marketing to Personalize Telco Customer Engagement
Here's how technology from the banking space can help telcos compete with aggressively competitive sales and retention tactics
Agile Collections Strategies Can Protect Loyalty in Tough Times
As economic victims swell the collections queue, do you have the tools you need to differentiate them and apply the correct treatments to different cohorts?
Debt Collection: Have We Learned the Lessons of the Last Crises?
While the current series of economic shocks may seem "unprecedented", there are clear lessons from past crises that should shape our collections strategies today
The Rise of Telco Cloud-Based Platform Solutions
As telcos make the transition from on-premises to cloud-based platform solutions, they need to get maximum value from the data sets, information sources and insights available
Delivering Trust for Risk-Aware Telcos - Using Data and Analytics
Pre-screened, right-sized offers and the efficient use of ‘just-in-time’ data are helping telcos win, retain and safeguard more customers – regardless of age or credit profile
Even in a Crisis, the Best Collections Strategy Is to Avoid Collections
With as much as 50% of consumers experiencing financial difficulty soon, it's time to review your early and pre-collections strategy and processes
Meeting Debt Collection Challenges Amid a Squeeze on Income
In order to deal with the rising cost of living and other challenges, anyone managing collections portfolios and effective debt recovery strategies needs these capabilities
Explainable Machine Learning for Probability of Default Calculations
How the FICO Platform can enable explainable machine learning models for more effective PD calculations
How Transaction Analytics Transform Lending Speed and Results
Fierce competition, open banking and financial inclusion drive the uptake of transaction analytics in lending
8 Success Tips for Debt Collection in the Pandemic
From identifying vulnerable customers to storing the right data, here are best practices for debt collection in the current pandemic
Improving IRB and RWA Calculations with Machine Learning
Through explainable machine learning models, behavioural and PD models for the retail banking sector can be created with higher levels of predictiveness.
Debt Collection and Debt Resolution in 2022
As we enter the third year of the global pandemic, what are the challenges facing debt collection and debt resolution professionals?
Why Customer-Centric Debt Collection Is Critical - Video
In this presentation from the Collections and Vulnerability conference, Bruce Curry lays out the case for customer-centric debt collection and its impact on a firm's performance
Digital-First Collections Means Thinking Like a Marketer
The numbers speak for themselves because digital-first collections counts when it comes to tackling late-paying accounts
Digital-First Collections Doesn't Mean Dropping the Dialler
Automated dial-direct calls to late-paying customers continue to help recover around 5% of delinquent accounts
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