From TDs to Turnarounds: How Our FUN NFL Hobby Helps Us Tackle Your Business Challenges
Predictive Analytics Group | Data Articles
by Garrison Maule
2w ago
In football and finance, accurate predictions are the difference between victory and defeat. Here at Predictive Analytics Group, we love building predictive models that help our clients increase revenues and reduce risk. But we also admit to being “nerds” with analytics; in fact, we love to build models in our free time that make our hobbies more fun and, along the way, provide insights that help us build better models for our clients. Take professional football for example. A few of our programmers at PAG have built an NFL predictive model whose picks exceeded 55% against the spread in each T ..read more
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ML and RPA: Transforming Debt Recovery in Financial Services
Predictive Analytics Group | Data Articles
by Garrison Maule
1M ago
Discover how Machine Learning and RPA are transforming debt recovery, reducing 90+ day delinquencies, and revolutionizing collection strategies for financial institutions ..read more
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Don’t let a lack of document control sink your compliance efforts
Predictive Analytics Group | Data Articles
by Garrison Maule
3M ago
Have you ever considered how master document control serves not only as a strategic asset but also supports a robust compliance program? Prioritizing this area is not just a necessity but a game-changer for your financial institution. You must meet the challenges of daily priorities – a problem that’s been exacerbated in the face of resource constraints – but neglecting the critical area of document control has too often led to financial penalties and reputational damage as we’ve seen in recent years. Financial institutions must deal with standards set by bodies such as the Office of the Compt ..read more
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Unlock the Power of Data in Portfolio Acquisitions
Predictive Analytics Group | Data Articles
by Garrison Maule
5M ago
Revolutionize credit portfolio acquisition with data analytics. Make data-driven decisions, bid competitively, and close deals faster with Predictive Analytics Group ..read more
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PAG Leverages Data Analytics for Fair Lending Compliance
Predictive Analytics Group | Data Articles
by Garrison Maule
8M ago
With banks facing tougher new rules modernizing fair-lending standards and recent negative press about disparities around fair lending compliance. Predictive Analytics Group has seen a spike in interest from financial institutions wondering how they can better position themselves in advance of regulators coming to visit. Banks have until 2026 to integrate the new rules governing compliance with the 1977 Community Reinvestment Act (CRA) regulations into their operations. Historically, they’ve been graded on how well they service low-income communities where they have branches. Now, however, the ..read more
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Time for vigilance rather than panic over delinquencies and charge offs
Predictive Analytics Group | Data Articles
by Garrison Maule
10M ago
By David LaRoche Back in early August, a good friend of mine asked me to look at his collections shop. We focused on his technology and major operational strategies. The discussion was very productive because he’s an experienced executive who knows what he’s doing. During the two hours we spent together, we identified three significant opportunities to improve call routing, targeting of hardship programs, and the distribution of his SMS/Email campaigns. We rolled out the changes using a 60% Champion/Challenger approach and received the results in early November. He saw an 8% improvement in Buc ..read more
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PAG helps portfolio buyer assess health of future acquisitions
Predictive Analytics Group | Data Articles
by Garrison Maule
10M ago
Challenge: A large portfolio buyer had seen disappointing results from a few previous acquisitions. In one case, a runoff portfolio acquisition’s credit losses exceeded projections, and in another, a few card portfolios were growing slower than expected.  Management was under immense pressure to acquire its next set of acquisitions at a profitable margin with upside growth potential, so it turned to PAG for help. PAG Solution: PAG was asked to evaluate the Client’s existing data construct and subsequent forecasting models for credit losses, balance attrition, and balance growth.  We ..read more
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5 Essential Steps to Achieve Compliance Excellence
Predictive Analytics Group | Data Articles
by Garrison Maule
1y ago
Imagine not having to worry about whether auditors, regulators, or partners will find compliance missteps when they review your operations. In the past few years, Predictive Analytics Group (PAG) has conducted more than 50 audit-prep exams, closed out more than 20 MRAs, worked on a dozen Consent Orders, successfully completed eight lookback or remediation exercises, and built 15 CMS organizations from the ground up for new startups. We offer peace of mind to our clients when regulators and auditors come to town.  Let’s face it, the Silicon Valley Bank and Republic Bank meltdowns sent shoc ..read more
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PAG helps fintech build an affinity-card compliance program from scratch
Predictive Analytics Group | Data Articles
by Garrison Maule
1y ago
Company: New Market Entrant – US Co-Brand & Branded   Challenge: A fintech was planning to enter the affinity credit card business in the United States but needed to create a compliance infrastructure – including identifying and hiring a compliance team — to support its efforts.  There was no off-the-shelf template it could use that would apply to prospective affinity partners, regulators, and auditors so it needed an experienced team that would help it prepare for the many audits and requests for documentation it would be receiving. PAG Solution: PAG deployed a three-stage appro ..read more
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Predictive Data Analytics: The Key to Optimizing Your Underwriting Strategy
Predictive Analytics Group | Data Articles
by Garrison Maule
1y ago
A regional fintech lending to mid-to-high risk consumers in 24 states recently asked us to help update its 2-year-old strategy for line assignments, risk-based pricing, and decisioning and expand beyond its use of generic data sources that were not performing to management expectations. We connected the client to four data providers to obtain retro data on two quarters of approved and declined applications. Data scientists from Predictive Analytics Group (PAG) then created a reject-inference model to project the performance of declined applications, enabling both swap-in and swap-out capabilit ..read more
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