Overview
Market intelligence designed for exploration
The objective was to make historical NFT market behavior easier to explore for project owners and collectors through an intuitive Power BI dashboard.
8source tables
2018–2022daily historical data
Power BI + Figmaanalysis + UX
Data
Sales, transactions and market participation
The dataset contained daily sales values, number of sales, primary and secondary market activity, unique buyers and sellers, and active wallet metrics. Excel was used to clean, unify and prepare the tables before modeling.
Analysis Process
Data preparation to interactive BI
Historical tables→Excel cleaning→Relational model→DAX measures→Figma UX→Power BI dashboard
UX Design
Designing beyond default dashboard visuals
A Figma stage was added after the analytical backend. The layout prioritized legibility, navigation, annual filters, scorecards and trend views so the dashboard could feel coherent rather than like a collection of default charts.
Key Findings
A market with rapid growth and sharp volatility
$39BNFT sales accumulated across the analyzed period
25.5Mtransactions across 2017–2022
$811Msales peak reported in May 2022
-8%2022 transaction comparison versus 2021
Stack
Technologies used
ExcelPower BIDAXRelational ModelingFigmaUX Design