AI Analytics That
Names Its Method
Upload your data. Ask questions in plain English. Get a statistical report with the method named, narrated by AI. No coding required.
What is AI Analytics?
AI analytics uses artificial intelligence to automatically analyze your data, select the right statistical methods, and generate actionable insights, all from simple natural language questions.
Intelligent Tool Selection
The AI suggests a method for your data and question. The report names the method and shows the code.
Natural Language Queries
Ask questions like "What drives customer churn?" or "Forecast next quarter's revenue" and the AI translates them into rigorous statistical analysis.
Automated Insights
Get plain-English interpretations of statistical results in plain English, with actionable recommendations for your business decisions.
How AI Analytics Works
Three simple steps to data-driven decisions
Upload Your Data
Simply upload a CSV file. The AI automatically profiles your data, detects column types, and identifies analytical opportunities.
Ask Your Question
Type questions in natural language. The AI uses semantic understanding to match your question to the right statistical approach.
Get AI-Powered Results
Receive statistical reports with interactive visualizations and AI-narrated insights.
AI-Powered Statistical Methods
A method is suggested for your data and question, and the report names it
AI Analytics Use Cases
How teams use AI-powered analytics to make data-driven decisions
Customer Analytics
"Why are customers churning?" "Which segments are most valuable?" Let AI analyze customer behavior and predict outcomes.
Sales Forecasting
"What will revenue be next quarter?" AI-powered time series analysis with confidence intervals and trend detection.
Experiment Analysis
"Did this A/B test work?" Automatic statistical significance testing with effect size and practical recommendations.
Marketing Attribution
"Which campaigns drive conversions?" Causal inference methods to estimate the effect of a campaign.
Inventory Optimization
"When should I reorder?" Demand forecasting with safety stock calculations and seasonal adjustments.
Pricing Analysis
"What's the optimal price?" Price elasticity modeling shows how demand responds to price.
AI Analytics FAQ
What is AI analytics?
AI analytics uses artificial intelligence to automatically analyze data, identify patterns, and generate insights. Unlike traditional analytics tools that require manual configuration, AI analytics understands your questions in plain English and selects the appropriate statistical methods automatically.
Do I need coding skills to use AI analytics?
No coding skills are required. MCP Analytics reads your question in plain English. Simply upload your data, ask questions like "What factors drive customer churn?" and the AI suggests a method and runs it.
What types of analysis can AI analytics perform?
AI analytics can run methods including regression analysis, time series forecasting, clustering, classification, A/B testing, causal inference, survival analysis, and more. The AI suggests a method for your data and question, and the report names it.
How do I know the numbers are right?
The statistics come from R code shown in the report, so someone can re-run and check them. The written explanation is AI-narrated and may be worded differently each time; the numbers under it come from the code.
Is my data secure?
Yes. All data is encrypted in transit.
Related Resources
Explore whitepapers, tutorials, blogs, and case studies to deepen your analytics knowledge
Blogs
Example Reports
Start Using AI Analytics Today
Upload your first dataset and get a report with the method named. No credit card required.
Where to start
One email with your data and your question. We take it from there.
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