Finastra Helps Lenders Turn More Applicants Into Borrowers with New Analytics Tool

WHY THIS MATTERS

The launch of Data Insights 2.0 by global fintech heavyweight Finastra on June 1, 2026, targets a critical revenue-drain for mid-market banks and credit unions: mortgage pipeline abandonment. The housing market operates on razor-thin margins and high customer acquisition costs. While lenders spend heavily to attract mortgage applicants, a fragmented or delayed digital experience causes borrowers to quietly abandon their applications mid-funnel.

Historically, community financial institutions running loan origination systems (LOS) could see that they were losing applicants, but they lacked the analytical precision to understand why. Operational data remained siloed across fragmented compliance reports, underwriting queues, and third-party point-of-sale (POS) systems. Data Insights 2.0—integrated natively into Finastra’s widely deployed Originate Mortgagebot ecosystem—bridges this visibility gap. By transforming raw operational data into localized, actionable intelligence, it allows banks to pinpoint the exact technical roadblocks channelling borrowers out of the pipeline, converting passive applicants into revenue-generating funded loans.

Finastra today announced the launch of Data Insights 2.0, a powerful analytics solution designed to help mortgage lenders convert more applications into funded loans by turning complex data into decision-ready insights. Available for Originate Mortgagebot, the solution enables banks and credit unions to understand performance benchmarks against peers, identify root causes of friction, and take targeted action to improve outcomes. 

Data Insights 2.0 gives lenders a precise view of how borrowers move through the mortgage application process and exactly where and why they drop off. Instead of relying on fragmented reports or assumptions, lenders can pinpoint performance gaps and act with confidence. 

The solution includes peer and industry benchmarking based on anonymized data from more than 1,000 mortgage originators, enabling lenders to assess their performance against the market. With full drill-down capabilities and export functionality, teams can move from insight to action quickly.

“We knew we were losing applicants at specific points in our process, but we couldn’t figure out why,” said Brenda Stoerkel, Vice President, Mortgage Production Manager at United Bank. “Data Insights showed us exactly where the process was breaking down. By fixing our mobile experience, and adjusting our communication timing, we saw our completion rates improve. Having the right information to make better decisions makes both our operations and our borrower experience stronger.” 

For borrowers, this means fewer roadblocks. When lenders can quickly identify where their process creates friction, whether it’s a confusing form, a slow response time, or a clunky mobile experience, the process becomes faster, clearer and more efficient. The result is improved approval timelines, clearer communication, and a smoother experience overall. It also delivers the metrics that matter, including application of exit points, conversion rates, borrower demographics, credit score distributions, loan-to-value ratios, and point-of-sale underwriting data. 

“Lenders have access to a considerable amount of data, but they need real insights to help them optimize their business,” said Rick Foresta, Chief Product Officer for Lending at Finastra. “We built Data Insights 2.0 to cut through the noise. It tells you what’s actually happening in your mortgage pipeline and what you should do about it to make it easier for people to buy homes.” 

Key capabilities include: 

• Real-time application exit point tracking and conversion analysis
• Insights into borrower demographic profiles and credit score distribution Channel performance metrics and submission timing analysis
• Geographic heat maps of applications activity
• Peer benchmarking against industry standards to provide market context
• Easy-to-action dashboards with full drill-down and export capabilities

FF NEWS TAKE

Finastra is leveraging its immense market scale to turn peer metadata into an unshakeable competitive moat for community lenders. In the mortgage space, standalone analytics platforms are often useless because they lack broader industry context. A credit union might see a 40% drop-off at the asset-verification step, but without an external baseline, it cannot discern if that metric reflects an internal software glitch or a standard, macroeconomic industry trend.

Under Chief Product Officer for Lending Rick Foresta, Finastra resolves this by utilizing anonymized metadata compiled from more than 1,000 active mortgage originators. This massive data reservoir gives lenders real-time peer and market benchmarking directly within their dashboards. Lenders can evaluate conversion rates, credit score distributions, loan-to-value (LTV) ratios, and channel performance metrics against direct regional competitors.