From Raw Data to Insights: The Crucial Role of Payment Data Enrichment in Open Banking

Ondřej Slivka
tagdata enrichment
time-icon4 minute read

In today’s fintech era, it’s crucial to understand how we can use our customers’ data to make better decisions and understand their needs more deeply. But how exactly can we use this data, what types of data do we have and what can we get out of it?

Every financial transaction gives us insight into a user’s consumer behavior. Whether it’s when a user pays their rent, what regular payments they have set up from Netflix and Spotify to Google Cloud, or how they spend on entertainment or groceries.

Open banking data

Today’s era favours online payments and cash is increasingly taking a back seat, making personal finance management apps even more important. This in turn requires PFM to be even more user-friendly. The complex and often tedious manual process of writing receipts and entering your own expenses, which has often been a stumbling block for these apps, is no longer necessary. This data already exists or can be pulled directly from the bank account history, removing a time-consuming task for consumers.

Thanks to open banking and modern financial APIs, fintech companies can easily and securely analyze their customers’ data with just a few clicks. PSD2 makes all this possible. The Second Payment Services Directive, also known as PSD2, is a regulation for electronic payment services in Europe. Its main aim is to increase payment security in Europe, boost innovation in the payments sector and help banking services to use new technologies. PSD2 has 2 main parts: Payment Initiation Services (PIS) and Account Information Services (AIS). The AIS part is important for data enrichment.

Account Information Services (AIS):

  • Account balance
  • Transaction history and details of individual transactions
  • Account type (current, savings, etc.)
  • Account currency
  • Account holder details

AIS data collected with user permission helps financial innovators like HyperJar or Plum to easily and securely access and interpret end-user data.

But working with this data is not an easy task. According to Deloitte, selecting a specific data set and processing it is one of the biggest challenges facing financial institutions and fintechs. They have to work with vast amount of information that companies process on a daily basis.

Insights into finance through open banking

Daily transactions provide insights into consumer behavior, such as when a user pays rent. Here we can look from a risk perspective, for example whether the user has a standing order and pays regularly or always puts money together at the last minute. We can also look at regular financial commitments and the most common spending behavior.

But firstly let’s dive into the flow of enrichment. The process of enrichment of open banking data looks as follows:

Flow of open banking data enrichment

In the example transaction we derive the merchant description from the input data. Once the merchant description is found, TapiX matches the merchant description with the database and finds the correct result.

To shed light on the comparison of the open data with traditional payment data. Open data typically contain only 2 input data points and practically never more than 4. The full data provides 9 useful data points. Therefore contains 3 times as much useful data for detecting terminal. Thus, increasing the chance of enrichment or in open data world decreases the chances without prior expertise.

Now that we are aware of the process we can dive deeper into more specific use-cases. Thanks to the enriched data, you can visualize them and gain valuable insights on where customers are spending most often. In the same way, we can look at data on ATM withdrawals and for example decide how to place them more effectively.

Example of open banking data analytics potential

Enriched payment data can significantly impact a variety of businesses, from accounting platforms to traditional financial institutions. TapiX’s data categorization model transforms raw transactional data into structured and standardized information that helps not only financial institutions gain data-driven insights, but also provide clarity for the end user.

The use of these tools, including TapiX, for transaction categorization, can free fintech companies, personal finance management apps, and traditional banks from manually interpreting and classifying the information contained in the transaction labels themselves, which requires notable amount of in-house resources.

The final result may look as follows:

Before and after payment data enrichment

Open banking – from PSD2 to PSD3

Open banking is made possible by PSD2, a directive that created a legislative framework that allows third parties to access customers’ bank accounts (with their consent), which is the cornerstone of the open banking concept. This has enabled new financial products and services to emerge that leverage the data and functionality of traditional banks, increasing competition and innovation in the banking sector.

The European Commission (EC), on 28 June 2023, published its proposal to revise the European Union’s payment services legislation as well as a proposal on open finance and data access in the financial services sector beyond open banking/payment accounts in the form of a new Open Finance proposal called “FIDA”.  This is now the start of the EU legislative process in relation to these texts. However, it is not clear how long the legislative process will take. We will keep an eye on the changes this directive will bring for you and will bring you detailed information soon.

Try TapiX with Your Own Data

TapiX is API-based service with 220 000+ merchant data coverage globally and 99.99% accuracy. Insert your own inputs and see the quality of the enriched data for yourself in the demo.

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