The financial sector is undergoing a transformation where success is decided in the milliseconds between clicking on a website and closing the browser. For mortgage providers, the biggest enemy is the so-called drop-off — the moment when a potential client stops completing the process in the middle of a complex loan application. Finastra has just launched a solution that addresses this problem using advanced analytics: Data Insights 2.0.

What is Data Insights 2.0 and how does it work?

Data Insights 2.0 is not just another statistics collection tool. It is an integral part of the mortgage origination solution known as Originate Mortgagebot. Unlike conventional analytics platforms, this system specializes in the specific journey of the loan applicant.

The tool uses several key technologies for in-depth analysis:

• Real-time exit point tracking: The system precisely identifies exactly which form field or which page users abandon the application on.
• Conversion Analysis: Measures the effectiveness of each step in the process and compares it against target values.
• Heat Maps: Visualization of user activity showing where people move most, what they click on, and where they get stuck.
• Demographic profiling: Provides insight into how different applicant groups respond to the process, enabling a more personalized approach.

Thanks to these features, banks and credit providers can identify technical or design barriers — such as overly complex forms, slow system response, or poor display on mobile devices.

Comparison: Finastra vs. general analytics

You might be thinking: "Why not use Google Analytics?" The answer lies in context. While general tools tell you how many people came to your website, Data Insights 2.0 tells you why someone didn't complete a mortgage application due to a specific financial metric or documentation complexity.

If we compare it with other players in fintech analytics, Finastra focuses on deep integration into the lending process itself. While general cloud platforms (such as AWS or Google Cloud) offer infrastructure for data analysis, Finastra provides ready-made logic models directly for the mortgage market, including peer benchmarking. This means institutions can compare their results with anonymized data from over 1,000 other credit providers, gaining a clear picture of whether their processes are in line with the market standard.

Practical impact: What does it mean for the Czech and European market?

For the Czech financial sector, which is highly digitalized (see the success of Czech banking apps), this type of tool represents a huge opportunity to optimize client acquisition costs. If a Czech bank discovers that 30% of clients drop off when uploading documents on mobile, it can immediately invest in better UX (User Experience) and thus increase profitability.

Availability and regulation: Finastra is a global player with broad coverage in Europe. For Czech institutions, it is crucial that these tools must be fully compliant with the EU AI Act and GDPR regulation. Since Data Insights 2.0 works with demographic profiles and user behavior, it is critically important that data anonymization processes are bulletproof. Within the EU, it must be ensured that conversion analysis algorithms do not use prohibited forms of profiling that could lead to discrimination against applicants based on sensitive data.

In terms of pricing, these B2B solutions are not a simple monthly subscription like "Netflix." Finastra typically operates on the basis of enterprise contracts, where the price depends on the volume of processed applications and the scope of integration. For medium-sized providers in the Czech Republic, however, implementing such a solution could be financially sustainable thanks to savings from higher conversion.

Conclusion

Data Insights 2.0 from Finastra shows that the future of finance is not just about who has the lowest interest rate, but who has the smoothest digital journey for the client. The ability to identify "friction" in real time using AI and advanced analytics is becoming an essential standard for anyone who wants to remain competitive in the digital world.