When it comes to data in the finance industry, it’s everyone’s duty to keep sensitive information private and secure. However, developers need some form of data in order to develop and test their fintech software solutions.
But we can’t exactly use production data with a few creative redactions, can we? The development method of ‘move fast and break things’ doesn’t work in fintech… so how can you test safely?
Let’s look at how data synthesis in the realm of financial data can help alleviate these issues, and how Tonic.ai is the solution you need to fake your numbers right.
With data synthesis for finance, you can create all the fake numbers you need while safely navigating the labyrinth of compliance and regulation. We give you a safe solution for your data needs, without risking the privacy of your customers.
With Tonic, you can generate safe data that looks just like your production data without any of the risks of compliance or privacy violations. With data synthesis, your team can safely create useable data for development and testing. And it works regardless of how complex your data is.
While it might look and act like your production data, it’s entirely synthetic and mimics production by using your existing data. We safely create data synthesis based on your existing data, and it’s free of any personal identifiable information.. Using data synthesis for finance can help your team stay compliant with regulations like GPRD and PCI.
Perks include…
At Tonic.ai, we provide you with mimicked data that looks and acts like production, so that you can keep testing and developing without any compliance issues, or privacy concerns.
Don’t believe us? Check out our case study with Kin Insurance, where we had to work with them to protect their user’s data in a sensitive industry.
Moving fast and breaking things doesn’t work in the finance world, but testing still needs to get done. Using data synthesis for finance can ensure that your data stays private, while still offering data synthesis that remains as complex as the source, all without needing to navigate the labyrinth of data compliance laws.
If you’re interested in getting started with using real fake data in your workplace, book a demo with us and see how it can fit into your workflow.
Enable your developers, unblock your data scientists, and respect data privacy as a human right.