Fraunhofer Institute for Industrial Mathematics ITWMManual processes still often dominate many banks and insurance companies – from the initial inquiry to risk reporting. In collaboration with R+V Versicherung, our Data Science experts have developed an app that consolidates real estate financing data into a central dashboard, thereby significantly increasing transparency and efficiency.
Immobilien Finanzierung
Cost Reduction Through Digitalization
Practical Example: Data Science for Risk Control in Construction Financing
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From Excel to App: Data Science in Real Estate Financing
Digital Workflows and Visualizations as Decision-Making Tools
All Business Data at a Glance – In One Intuitive App
Until now, banks and insurance companies have maintained much of their business data in Excel spreadsheets – a process that is time-consuming and offers limited analysis capabilities. The new application consolidates all relevant information into a single interface:
- Employees can use it to quickly create, edit, and analyze business transactions.
- The entire financing portfolio can be viewed with just a few clicks.
- Annual reports and management reports can be generated directly from the app.
Feedback from the field shows that the user-friendly interface and clearly structured navigation, in particular, noticeably simplify employees’ day-to-day work.
Mailbox Count at the Touch of a Button
Another area where the app is used is for inbox counting at R+V. The goal is to track and analyze the current volume and distribution of documents or tasks within a digital inbox system. This makes it possible to monitor the workload, identify bottlenecks, and improve the efficiency of document and task processing.
The impact is measurable: What previously took about an hour per evaluation each week can now be done with a single click.
Visualization as a Decision-Making Aid
Another highlight of the app is its interactive visualizations. These include:
- A detailed overview of banking activities for ongoing financial monitoring
- Comprehensive insights and analyses related to commercial real estate transactions
- Competitor comparisons
The time savings are particularly evident in competitor comparisons: The time required for analysis has been reduced from about 30 minutes daily before the app was introduced to about ten minutes. At the same time, complex data sets are presented in a compact format, making it easier to identify business-relevant patterns and trends.
Example of a Competitor Comparison: Comparison of terms for a 10-year fixed-rate period
Custom Data Science Solutions That Go Beyond Real Estate Financing
Furthermore, the project demonstrates the potential of customized, data-driven solutions – not just in real estate financing. We can also implement similar custom-developed tools in other departments and industries. One example is our data science project with the automotive industry.
With the continued expansion of data science methods and integrated platform solutions, we will be able to support our clients even better in the future as they optimize their decision-making processes and sustainably improve their business models.