Realistic data kits forBusiness Intelligence
See what's inside every kit
Every chart here is plotted from the tables inside a kit, nothing mocked up for the page. Open one and poke around.
A growing catalog across 12 industries, $6 to $12
Analytical Distribution Patterns
Go beyond random data. Our data kits include real-world statistical properties that stress-test your DAX, SQL, and visualization logic.
Pareto Distributions
80/20 splits for customer revenue concentration, product profitability, and market share modeling.
top_20_pct: 0.8Seasonality & Trends
Black Friday spikes, weekend dips, holiday patterns, and configurable YoY growth rates.
peak_month: 12Normal Distributions
Age demographics, transaction times, and delivery durations following natural bell curves.
mean: 35, std: 12Data Quality Markers
Configurable nulls, late-arriving dimensions, and edge cases to test ETL robustness.
null_rate: 0.02Engineered for Analytics
Build, validate, and showcase complex analytical solutions using data kits that mirror real-world business structures, relationships, and constraints.
Relational Modeling
Every kit is a complete dimensional model: fact and dimension tables with the keys that join them, ready to load.
Deterministic Integrity
Strict enforcement of primary and foreign key relationships.
High-Volume
Data Kits with millions of rows available.
Platform Ready
Parquet and CSV that load clean into modern BI tools.
Rebase the Dates
Every kit ships a date-shift script wired to its tables. Rebase to today whenever you want.
Business-Driven Design
Data Kits built from real business logic and scenarios, delivering contextually accurate datasets.
Built for Real World BI
Designed to replicate real business data structures and distributions, our data kits let you practice the analytical challenges and modeling decisions encountered in production environments.
BI Practitioners
Build dashboards that answer real business questions. Revenue, margin, and operational KPIs slice the way production data does.
Trainers & Educators
Set exercises that test modeling and analytical thinking instead of tool trivia. Every student works the same rich dataset.
Analysts & Storytelling
Practice explaining insights and defending metric definitions. The numbers hold up under follow-up questions.
Interview Prep
Rehearse realistic scenarios before the real thing. The data has enough texture to demand judgment and enough structure to reward it.
Teams & Sandbox
Experiment without touching production. Test performance assumptions and what-if scenarios on data nobody depends on.
Learners
Go end to end, from raw tables to a finished model. One coherent company to practice dimensional modeling on.