What is Bricks?
Bricks is a spreadsheet application built around AI capabilities that lets you convert CSV and Excel files into interactive dashboards without requiring technical setup. Rather than working with raw data in traditional spreadsheet cells, you upload your files and Bricks automatically transforms them into visual, editable dashboards. The tool is designed for people who work with data regularly but may not have dashboard-building experience, allowing them to quickly create reports, analyse trends, and share findings in a more accessible format than traditional spreadsheets. Its main appeal is simplicity: there's minimal configuration needed, making it suitable for business users, analysts, and teams who want faster insights from their existing data files.
Key Features
AI-powered dashboard generation
automatically converts uploaded data into visual representations without manual configuration
CSV and Excel file import
direct support for common spreadsheet file formats with no complex data mapping required
Editable dashboards
modify data and visualisations directly within the dashboard interface, not just view-only reports
No-code setup
builds dashboards without requiring SQL knowledge, coding experience, or technical configuration
Data visualisation
includes charts, tables, and other visual elements to represent data patterns and trends
Collaborative sharing
export and share dashboards with team members and stakeholders
Pros & Cons
Advantages
- Significantly faster than building dashboards from scratch in traditional BI tools
- Low barrier to entry; non-technical users can create professional dashboards quickly
- Works directly with files you already have; no need to migrate data to new systems
- Freemium model means you can test it without upfront investment
Limitations
- May lack advanced customisation options compared to dedicated business intelligence platforms
- Limited information publicly available about data limits, refresh rates, or enterprise-scale capabilities
- Dependent on how well AI interprets your data structure; unusual or complex datasets may require manual adjustment
Use Cases
Sales teams converting monthly performance spreadsheets into dashboards for quick status reviews
Finance departments creating expense tracking and budget variance reports from CSV exports
Marketing analysts visualising campaign metrics and ROI across multiple channels
Project managers building resource utilisation and timeline dashboards from project data
Small business owners monitoring KPIs without investing in expensive BI software