In Fibady you build your own boards by dragging the charts you want — revenue, EBITDA, cash bridge, expense treemap, budget gauges — on top of data that is already consolidated and validated. Each board can be private or shared, per entity or group, and every chart drills down to the account.
How is this different from Power BI or Looker?
You do not have to build the data model. Fibady already has the P&L, balance sheet, cash flow, budget and eliminations resolved; the dashboard just shows them. A CFO builds one in an afternoon without a data analyst, and nothing breaks when the chart of accounts changes. The full comparison is at Fibady vs Power BI.
How do dynamic metrics work?
You define metrics with data that does not live in the books — number of customers, active users, tonnes sold, ARPA — by connecting a Google Sheet, and Fibady crosses them with the financials: revenue per customer, cost per unit, price × quantity. They refresh when the sheet changes.
And analytic accounts?
Multi-dimensional: business unit, area, cost centre and location at the same time. One expense can belong to "Logistics · Madrid · Centre 3" and show in any of the three cuts.
How Fibady does it
- Unlimited dashboards, private or shared
- 13 visual types (KPI, bar, line, area, combo, donut, treemap, table, gauge, bullet, waterfall, heatmap, radar) and 28 ready-made standard charts
- 68 pre-built financial ratios in 6 families; calculated fields with your formula
- Dynamic metrics from Google Sheets
- Multi-dimensional analytic accounts
- Drill-down from chart to entry
Financial data arrives via API from Odoo and Holded, or as a CSV journal from any other ERP.