AI Data Analysis
Send your data by text, call, email, or Slack. Receive analysis with key insights, trend identification, and actionable recommendations delivered to any screen.
Chatari performs data analysis when you send your data by text, call, email, or Slack. Share numbers, paste a data table, or email a spreadsheet along with the question you want answered. Chatari uses GPT-4o for data processing and calculation, Claude for insight generation and narrative analysis, and DALL-E 3 for chart visualizations. Results are delivered as a formatted report with key findings, trend analysis, and recommendations. A data analysis document costs 10 credits. Complex analyses cost 150 credits.
Data analysis that normally requires spreadsheet manipulation, formula building, chart creation, and narrative writing can be delegated by emailing Chatari your data file with a question.
Data Sits in Spreadsheets Without Insights
Organizations collect more data than ever, but turning raw numbers into actionable insights remains a bottleneck. Data is trapped in spreadsheets, dashboards are built for monitoring rather than analysis, and the people asking questions are not the same people who know SQL or Python.
- Business users need to wait for analysts to run queries and produce reports
- Simple questions like 'which products grew fastest last quarter' require spreadsheet skills
- Raw data without context or narrative does not drive decisions in leadership meetings
- Ad hoc analysis requests pile up in the analytics team's backlog
How Chatari Handles It
Send your data and ask your question
Text a few numbers with a question, email a spreadsheet, or describe the data set on a call. Include what you want to understand: trends, comparisons, anomalies, or forecasts.
Data is processed and calculated
GPT-4o processes the raw data: calculates growth rates, aggregates by category, identifies outliers, and runs statistical summaries. Missing context is flagged for clarification.
Insights and narrative are generated
Claude interprets the calculations and produces a narrative: what the data shows, why it matters, and what actions to consider. Technical findings are translated into business language.
Analysis delivered to any screen
The formatted analysis report is pushed to you with charts, data tables, key findings, and recommendations. Share it directly with stakeholders.
Example Workflows
Real examples of how you can delegate this task across different channels.
"January sales: $420K. February: $385K. March: $510K. April: $475K. May: $520K. June: $610K. What is the trend? Any seasonality? Project Q3."
Trend analysis showing 45% growth Jan-Jun, month-over-month breakdown, the February dip pattern, acceleration in Q2, and a Q3 projection based on current growth trajectory. Includes a visual trend chart. Delivered as a report link. 10 credits + 16 credits (chart image) = 26 total.
"Subject: Customer Cohort Analysis. Body: Attached is our user signup data for the last 12 months with columns for signup date, plan type, last active date, and total spend. Please run a cohort analysis showing retention by signup month and identify which cohorts have the best and worst retention."
Cohort analysis report with: monthly retention curves, best and worst performing cohorts highlighted, retention rate by plan type, revenue retention vs. logo retention comparison, and recommendations for improving weak cohorts. Delivered as PDF with embedded data tables. 150 credits.
"@chatari Our NPS scores by quarter: Q1 42, Q2 38, Q3 45, Q4 51. Customer count grew from 200 to 800 in the same period. Is the NPS improvement real or just noise? What is driving it?"
Statistical analysis of NPS trend with sample size considerations, confidence intervals, a note on the Q2 dip correlation with growth spike, and analysis of whether the Q4 improvement is statistically significant given the customer base size. Delivered in your Slack channel. 10 credits.
"I have a spreadsheet with our marketing spend by channel and corresponding revenue for the last 6 months. I will email it to you after this call. Tell me which channels have the best ROI and where we should shift budget."
Chatari captures your verbal brief and processes the spreadsheet when it arrives via email. Delivers a channel ROI analysis with cost per acquisition by channel, revenue attribution, diminishing returns analysis, and a recommended budget reallocation with projected impact. Delivered as a report link. 56 credits (2-min call) + 150 credits (analysis) = 206 total.
What Gets Delivered
Data Analysis Report
Formatted analysis with key findings, trend identification, and business implications. Written in plain language for non-technical stakeholders.
10-150 depending on complexityTrend Analysis
Time series analysis with growth rates, seasonality patterns, and forward projections based on historical data.
10 per analysisData Visualizations
Charts and graphs generated by DALL-E 3 to illustrate key findings from your data.
16 per chartCohort Analysis
User or customer cohort analysis showing retention, revenue, and engagement patterns over time.
150 per analysisFrequently Asked Questions
What types of data can Chatari analyze?
Chatari handles numerical data you share via text (key numbers inline), email (spreadsheet attachments or data tables in the body), or Slack (pasted tables). Common analyses include sales trends, cohort retention, marketing ROI, NPS analysis, financial comparisons, and customer segmentation. The analysis works with any structured numerical data.
Can Chatari create charts and visualizations?
Yes. Chatari generates visual charts using DALL-E 3 to illustrate trends, comparisons, and distributions. Charts cost 16 credits each and are included in the report as images you can download and use in presentations.
How does Chatari handle large data sets?
Email is the best channel for large data sets. Attach a spreadsheet and describe the analysis you need. For very large files, provide a summary of the data structure and key questions. Chatari processes the data and returns the analysis as a formatted report.
Can Chatari do predictive analytics?
Chatari can generate projections and forecasts based on historical trends in your data. These are directional estimates using trend extrapolation, not advanced machine learning models. For mission-critical forecasts, use the analysis as a starting point and validate with your data science team.
How much does AI data analysis cost?
Simple trend analysis costs 10 credits. Complex analyses (cohort analysis, multi-variable comparisons, detailed segmentation) cost 150 credits. Charts cost 16 credits each. On an Essential plan ($49/month, 2,400 credits), you can run about 16 complex analyses per month.
Is my data kept private?
Chatari processes data through encrypted channels and does not store your data after the analysis is generated. For sensitive data, consider using aggregated figures or anonymizing personally identifiable information before sending.
Sources
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Related Workflows
Reviewed by Chatari Editorial Team. Last updated: 2026-02-26.