Webinar Announcement: Beyond the Score – How Alternative Data Transforms Credit Decisions
Credit scoring is being redefined. As traditional models struggle to capture the full financial picture of today’s borrowers, the industry is shifting toward smarter, more inclusive approaches. This webinar brings together experts from Scoreplex and GiniMachine to explore how lenders can use alternative data, explainable AI, and automation to gain a deeper, more accurate understanding of risk.
Join us to discover how digital footprints, device usage, telco behavior, and other non-traditional data sources can fill the gaps left by outdated scoring models. You’ll learn how to transform these data points into clear, compliant, and explainable credit scores — and how to integrate them seamlessly into your lending workflow.
We’ll walk you through real-world use cases of how financial institutions are using alternative data to unlock new markets, reduce defaults, and improve decision-making at scale.
August 14, 16:00 (GMT+3)
Duration: 30 minutes
What You’ll Gain
- A clearer view of what “alternative data” actually means and how it’s collected
- Insights into regulatory trends that are pushing for greater transparency in credit scoring
- A practical look at how Scoreplex, GiniMachine, and HES LoanBox work together to deliver faster, fairer, and more automated lending decisions
- Expert answers to your questions on implementation, compliance, and technical setup
Meet the Speakers
Denis Khromov, CEO at Scoreplex
Denis will share how Scoreplex helps lenders access, structure, and use alternative data sources to extend visibility into applicants’ financial behavior.
Mark Rudak, Product Owner at GiniMachine
Mark leads product development at GiniMachine, a no-code AI scoring engine that helps lenders build explainable models without writing a single line of code.
Both technologies are natively embedded into HES LoanBox, creating a full-stack solution that covers data enrichment, credit scoring, and automated decision-making—all in one platform.
