A data product that turns financial indicators into a decision-support score. Data entry, score calculation, risk classification and dashboard logic in one product flow.
The Financial Score Application is a data product that processes financial indicators and returns a score, risk level and decision-support output to a user or institution. The aim is to turn raw financial data into a score that is readable, comparable and actionable.
In financial evaluation work, data is plentiful but the decision language is rarely clear. Users and institutions end up reading many indicators without knowing how they map onto total risk, performance or confidence.
I built the product around data entry, score generation, risk classification and dashboard flow. Normalization of financial metrics, score calculation logic, an explainable result screen for the user, score history tracking and decision-support suggestions were the core structure.
The focus was not just to display a financial metric but to turn it into a result the user can act on. Score, risk, explainability and dashboard logic were kept at the center for that reason.
The financial score idea moved from a calculation tool into a data product that lifts data into a decision-support layer. The product logic was simplified through score, risk, explainability and manageable screens.
Product idea, score logic, user flow, dashboard approach, the decision-support setup on top of the data, translation of metrics into product language, and the simplification of the financial evaluation process.