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5 Strategies for Designing Data-Intensive Fintech Solutions

FinTech Guide Cover

In the “Guide to Designing Data-Intensive Fintech Applications” you’ll learn:

  • The five most common challenges when designing any financial solution applications

  • The five guiding design strategies to consider when building data-intensive Fintech applications

  • A list of best practices to help inform your design process.

When designing fintech software—or any data-intensive applications—it can be difficult to know where to begin. With experience in over 750 projects, we at Catalyst UX have dealt with the challenges of designing data-intensive applications and know the best practices to overcome them. We will review the most common data-intensive application design challenges, guiding design strategies to keep in mind when planning your solution, and best practices for when you finally begin the design process.

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Are you grappling with designing a data intensive application? Schedule a no-cost, 30-minute web meeting to see examples of these strategies in motion and how to apply guiding principles to your own solution.

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