Nordigen

Nordigen is an open banking (Transaction Data API) platform with a suite of products that helps companies in building financial applications which can interact with bank accounts and automatically gain insights to add value to the data. With just one API call you can identify basic identity information or get a detailed income overview for that person, including data points like projected income and income stability. Our platform helps banks, lenders and fintechs to develop apps that easily sync with customers bank account data, speed up the customers onboarding process, verify your customer identity, use cleansed data from bank statements to make informed decisions.

Our clients are Banks, Lenders, Fintechs and companies from other industries who use Nordigen to make improvements in risk assessment of borrowers, check the amount of income, verify identity, improve customer onboarding and different other use cases. One of our clients is BigBank, who is a lender in several European countries, with Nordigen has improved their bank statement analysis speed one hundred times. By using Nordigen API, other companies have successfully increased their lending volumes, increased loan acceptance rates, overall efficiency and revenue.

Benefits Overview of the Nordigen products:

Transaction Categorisation

High-quality data

Transaction Categorisation engine can recognize 150+ income and expense transaction categories. Precise transaction categorisation provides data teams with high-quality data for analytics. The output is easily customisable, allowing it to be tailored for specific internal or regulatory requirements.

Account Aggregation

All-in-one integration for advanced customer journey

Data Aggregation is the mechanism by which users provide their consent for us to retrieve their banking information on your behalf. It is a hosted web UI (widget) that allows a user to search for their financial institution, select it, provide consent to share the data you require, and then log in with their credentials - allowing us to fetch their data.
Nordigen does not provide proprietary aggregation services but we partner with multiple global data aggregation companies which allow us to offer global coverage.

KYC

Simple procedure to reduce fraud

KYC makes use of open banking data to verify identities. Customers’ information can be retrieved easily, allowing you to save time on identity checks.Gain additional information about customers, such as geolocation for more thorough customer identification.

Income Insights

Evaluate thin-file customers

Income Insights accurately identify income sources. The income definition can be easily tailored to suit different requirements. Use it to assess the information beyond a credit report, thus understanding the true creditworthiness of your customers.

Loans Insights

Loans Insights allow identifying all incoming and outgoing loan payments, including loans not registered at credit bureaus.

Scoring Insights

Credit scores

Built from transaction data, credit scores are proven to be highly predictive and stable over time. Credit scores can be tailored for optimising both approval rates and default rates.

Marketing Insights

Customer segmentation

Identify which client segment your customers belong to based on their transaction data. Marketing insights distinguish 10 customers segments that help you target your clients with relevant and timely offers. Customer transaction data contains valuable information about the brands they consume. When properly categorised, these insights can help financial institutions target them with relevant and timely brand offers. Nordigen's Marketing Insights distinguish numerous brand affiliations.

Risk Insights

Recognize high-risk behaviour

Risk Insights help to assess the information beyond a credit report, thus understanding the true creditworthiness of your customers.When combined with other data sources, Risk Insights can help to optimize approval and default rates, and other scoring metrics. Identify behaviours that are often regarded as risky and use this information to improve your scoring models.