Enterprise Demo Data

Load realistic, interconnected enterprise datasets to explore the full capabilities of DataPipe. Each company includes fact tables, dimension tables, P&L statements, KPIs, and operational data.

Loading demo data will replace any existing demo datasets

Your custom uploaded datasets will not be affected. Only datasets with matching prefixes (rev_, si_) will be replaced.

FinTech / Digital Banking

Revolut

~50M EUR

Annual Revenue

Complete FinTech analytics stack: 500 transactions across 8 products, 200 customers across 5 plans (Standard to Business), 24-month P&L and KPIs with MAU/DAU/MRR trends, 200 KYC/AML compliance events, and 10 departmental cost centers. All data referentially consistent with realistic LTV, churn, and NPS metrics.

7 tables

~1,158 rows

Included Tables

rev_transactions (500 rows)rev_customers (200 rows)rev_monthly_kpis (24 rows)rev_pnl (24 rows)rev_products (8 rows)rev_compliance (200 rows)rev_cost_centers (10 rows)

Industrial Conglomerate

Siemens

~500M EUR (Division)

Annual Revenue

Enterprise industrial dataset: 400 orders across 3 BUs (Digital Industries, Smart Infrastructure, Mobility), 100 B2B customers (BMW, Deutsche Bahn, BASF...), 12-month P&L with EBIT and book-to-bill, 200 employees with utilization tracking, 80 named projects with risk scoring, 150 supply chain POs, and 48-row budget vs actual by BU.

7 tables

~1,178 rows

Included Tables

si_orders (400 rows)si_customers (100 rows)si_pnl (12 rows)si_employees (200 rows)si_projects (80 rows)si_supply_chain (150 rows)si_budget_vs_actual (48 rows)