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From financial data to clear decisions 2017

Financial decision platform for a financial analytics company

A proof-of-concept financial decision platform that turns scattered financial data into clear, scenario-driven insights for faster, smarter decisions.

Client
Financial IQ
Period
2017
Technologies
.NET, Angular, TypeScript
Intellegens were very helpful in refining our requirements and delivering the proof-of-concept solution that was very stable and worked as expected in a short period of time.
Saša Vasung, Founder
The challenge

Data Exists, Clarity Doesn’t

Most individuals and businesses already have financial data. The real problem is understanding what it means and what to do next.

FIQ (Financial IQ) was created to solve exactly that - giving users a way to organize financial data, understand their position, and simulate future outcomes. Because when decisions depend on numbers, guesswork quickly becomes expensive.

What we built

Turning an Idea into a Usable Product

The goal wasn’t to build a full-scale platform immediately. It was to create a working proof of concept that could validate the idea, demonstrate value, and support further investment decisions.

We worked closely with the founders to refine requirements, remove ambiguity, and focus on what actually matters - delivering a product that users could immediately understand and use.

This early clarity reduced unnecessary scope and ensured that every feature had a clear purpose tied to better financial decision-making.

Structuring Financial Data for Real Insight

The application was designed to help users:

  • Categorize expenses and revenues
  • Generate clear profit and loss overviews
  • Explore “what-if” scenarios that affect financial outcomes

Instead of just presenting numbers, the system enabled users to see the impact of their decisions before making them. This shift - from static reporting to dynamic insight - is what made the concept valuable.

Building a Reliable and Extendable Core

We implemented the solution as a single-page application in Angular, supported by a .NET backend and MS SQL Server database.

This architecture ensured:

  • Fast, responsive user experience
  • Clear separation between frontend and backend
  • A system that could scale beyond the proof-of-concept phase

For early-stage products, this balance is critical: move fast, but don’t create technical debt that slows you down later.

Reducing Risk Through Early Structure

Proof-of-concept projects often fail because they prioritize speed at the cost of structure. We approached it differently.

By defining the architecture early and keeping the system modular, we ensured:

  • New features could be added without breaking existing functionality
  • The platform could evolve into a production system
  • Technical risk remained controlled from the start

For stakeholders, this meant one thing: confidence that the idea could grow into a real product.

Delivering Value Fast - Without Compromise

The project was delivered in a short timeframe, but without cutting corners where it mattered. The result was a stable, working solution that behaved predictably and met expectations from day one.

This is where many proof-of-concept efforts fail - they demonstrate ideas, but not reliability. Here, both were achieved.

The outcome

A Validated Product with a Clear Path Forward

By the end of the engagement, the FIQ team had a functional, stable application that clearly demonstrated the value of their concept.

More importantly, they had:

  • A validated product direction
  • A system ready for further development
  • A foundation that wouldn’t need to be rebuilt

In other words, they didn’t just test an idea - they built something that could move forward with confidence.

How it is put together

System architecture

Technology
.NETAngularTypeScriptMS SQL Server

More work

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