Fintech Trends in 2022

Big Data

It is not only about collecting huge amounts of information that financial companies generate, but also about technologies that allow you to more accurately analyze this data and identify patterns in it. Financial companies that do not have time to integrate Big Data into their business processes run the risk of eventually being caught up. After all, according to the study by IDC, global revenue from big data analysis will reach $260 billion by 2022.

Our customers understand that Data Science is the future. For one of the financial regulators in the UK we are developing a system that performs auditing of the banks on their key performance indicators. Together with the Czech company OGResearch, our engineers have created a software platform for collecting and analyzing data on money markets in developing countries. Today, this tool is successfully used by major European banks.

"Fintech companies are increasingly using big data in their software solutions. Banks, for example, can make decisions about issuing loans based on transaction analysis. You can significantly improve the UX of applications by studying user behavior, or even build a more effective marketing strategy. However, it's important to note here that big data processing goes hand in hand with machine learning. It is difficult for a person to work with such volumes of information," said Igor Panyushkin, Deferit CTO.


According to surveys, in 2020 people consider digital banks without traditional physical branches to be the most effective in terms of banking services. This is not at all surprising, given their advantages:

  • Access to your accounts whenever and from anywhere.
  • Social distancing in a pandemic.
  • Saving time in interaction with the bank.
  • Small commission or no commission at all.