ds@mcpanalytics.aiA data scientist you can email your data and question to, and get a reliable response. Not AI slop.A data scientist you can email. Not AI slop.

AI data analysis you can check:
the report names its method

Ask a question about your data in plain English. An Analytics report names the method and the code that ran it, and runs again on new data. Same data, same numbers.

Try it on example data

What a good answer from a file looks like

A quick answer is right for a quick question. A decision needs more: the method named, the code visible, and the same numbers when it runs again. Which of those you need depends on the question.

You ask the question and the platform picks the route. There are three, by how deep the question goes.

Three routes, by depth of question

Answer

A quick question about your data. The answer is read from all of the data, shown with how it was reached, and saved.

Analytics

A question that needs more than an answer. A tested statistical method runs on your data and we interpret it with charts and a written report. Same data, same numbers.

Custom Analytics

A question only your business asks. A full analysis built for your data from proven models, yours to re-run on next month’s file.

Pick the question you have

Each page below takes a file, shows an example result in one click, and lets you drop in your own.

What is in my file? CSV Analysis → What will sales look like next? Revenue Forecasting → Did the change really win? A/B Testing → Who leaves, and when? Churn Analysis → Who comes back after the first order? Cohort Retention → What is a customer worth over time? Customer Lifetime Value → What happens when the price changes? Price Elasticity → Did the campaign move the numbers? Incrementality Test → Which channels pay off? Marketing Mix Model → What is bought together? Market Basket Analysis → Where do people drop off? Funnel Analysis → Is our Net Promoter Score real? Net Promoter Score → What will customers trade off? Conjoint Analysis → Is the process in control? Control Chart → Where did we miss budget? Budget Variance → Which few causes drive most of it? Pareto Analysis →

Questions people ask

What is AI data analysis?

Using AI to turn a question about your data into an analysis: choosing a method, running it on your file and explaining the result in plain words. The part to look for is whether you can see how the result was reached.

Can I upload a spreadsheet and ask questions?

Yes. Drop in a CSV or Excel file and ask in plain English. The pages above show an example result first, so you can see what comes back before you use your own data.

How do I know the answer is right?

You can check it. An Analytics report names the method and the code that ran, so you or your own analyst can read both and run it again on the same data. Same data, same numbers.

What is the difference between a one-off answer and a re-runnable report?

A one-off answer lives in a conversation. A report names its method, shows its code and runs again on new data, so next month’s file gets the same treatment.

Which questions need a tested method?

Questions about whether something changed, whether a difference is real, what drives an outcome or what happens next. The answer depends on the method and the sample, not only on arithmetic.

Have a question about your data?

Start with the example file, then ask about your own.

Try it on example data

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