Quick Answers
To put it simply, we focus on different things. Kreditz specialises in categorization accuracy—making sense of transaction and other financial data. In contrast, data aggregators typically prioritise covering as many banks and ASPSPs as possible. While Kreditz uses data aggregators for coverage, our core focus is enriching the data to enable smarter credit and risk decisions.
Our credit scoring model uses interpreted bank transaction data to provide an accurate picture of the customer's financial health. This allows you to make more informed lending decisions compared to traditional credit bureau data which is static and based on previous year taxed data. With Kreditz you will also be able to access more data points compared to credit bureau information. Probability of default in the next 3 months.
We offer a 180-day monitoring service that tracks the customer's financial situation, updating the data four times daily. This allows you to adjust credit limits or take preemptive actions if a customer's financial situation deteriorates.
Yes, our decisioning engine can be customized with your specific policy rules. For example, you can exclude customers with less than €1,000 in average monthly affordability over the last six months.
Yes, you can select the desired time period for data retrieval. The fewer transactions we need to fetch, the faster the retrieval process will be.
In some markets we can integrate the data from your credit bureau partner to give you the full financial picture.
You can be up and running within a week without customization. With edits in the design it can take up to 2 weeks.
Kreditz’s have been in the market since the beginning of PSD2. By utilizing AI & ML our categorization models have been trained to interpret transactions in all markets. Of course all market transactions differ some. With the use of local intelligence from consultants we are actively interpreting new transactions and continuously training our models. Therefore we deliver the highest quality of categorized transactions data.