Use cases

Whatever your data,
one analyst you can trust.

WorkLiq is one horizontal AI data analyst — it works on any structured file. Here's where teams put it to work first. Every number always shows the SQL behind it.

🛒

D2C / E-commerce

✗Rising CAC and no clear LTV. Meta, Google and Shopify all take credit and none reconcile.

✓Cohort LTV:CAC, contribution margin, and returns — joined to the paisa, no platform bias.

📈

SaaS / RevOps

✗MRR movement, NDR and churn cohorts live in a spreadsheet you rebuild by hand every month.

✓MRR waterfall, net dollar retention, and at-risk accounts — auto-built from your Stripe export.

📊

Finance & FP&A

✗Month-end eaten by manual reconciliation, and you can't defend a number when the auditor asks.

✓Anomalies, budget variance, and cash-flow forecasts — every figure with its SQL and an audit log.

🎯

Marketing & Growth

✗Wasted spend hides until the monthly review, after the budget is already gone.

✓True channel ROI ranked, waste flagged, CPA trends — from your own data, ready for the standup.

🔬

Researchers & Analysts

✗You need a real statistical test and a reproducible notebook — but not everyone codes in R.

✓Ask in English; it routes to the correct test (with effect sizes) and writes a shareable notebook.

And everywhere else structured data lives

The same engine, more teams

🧩

Consultants & Agencies

Turn a client's messy export into a report in an afternoon, not a week.

🏭

Operations & Supply-chain

Demand forecasts, anomaly alerts, and throughput analysis from your own logs.

🧭

Founders & Executives

Board-ready metrics and a plain-English read on what's actually moving.

🎓

Students & Educators

Learn with real data and see the code behind every answer.

🩺

Clinical & social research

Descriptive stats, hypothesis tests, and normality checks — done right.

🚚

Logistics & real estate

Route, delivery, occupancy and pricing analysis on your own tables.

Don't see yours? It still works.

If your data is a CSV, Excel, Parquet, JSON, or a database, WorkLiq can analyze it — with the SQL and Python behind every answer. Try the live demo, no signup.

Try with sample data →

Whatever your data,one analyst you can trust.