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Use Cases

AI-Powered Data Analysis & Visualization

Analyze spreadsheets, generate charts, and extract insights from complex datasets through conversation.

Fergana Labs Team

Data Analysis Without the Learning Curve

Excel formulas, pivot tables, and chart formatting consume hours of productive time. Stash Desktop brings AI-powered data analysis that feels like working with a colleague.

Everything Through Natural Language

The revolutionary part? You don't need to know Excel formulas, SQL, or Python. Just describe what you want in plain English, and Stash handles the rest.

Instead of wrestling with formulas:

  • "What are the top-selling products by region this quarter?"
  • "Show me revenue trends over the past 12 months"
  • "Find outliers in the customer churn data"
  • "Create a cohort analysis of user engagement"

All operations - analysis, visualization, data cleaning, reporting - happen through conversation. No technical knowledge required.

AI Writes Python Code for You

Behind the scenes, Stash writes and executes Python code to analyze your data. But you never see it unless you want to.

For non-programmers: Just ask your question and get your answer. The technical implementation is invisible.

For programmers: Ask "Show me the code you used" to see the Python script. You can review it, learn from it, or modify it for future use.

Example: You: "Calculate the 90-day moving average of daily revenue and show me where we exceeded it"

Stash: Writes Python code using pandas, calculates the metric, generates a chart

You: "Show me the code"

Stash: Displays the Python script with explanations

This means non-technical users get instant insights, while technical users can audit, customize, and learn from the AI's approach.

From Data to Insights

Automatic Visualization Stash chooses the right chart type and formatting based on your data and question. Everything through natural language - no clicking through chart menus.

Statistical Analysis Correlation, regression, forecasting - just ask in plain English. No need to remember statistical formulas or function names.

Data Cleaning "Remove duplicates and fix formatting inconsistencies in this spreadsheet"

Reporting "Generate a monthly performance report with these KPIs"

Example Workflows

Sales Analysis

You: "Analyze Q4 sales data and identify underperforming regions"

Stash: Creates a breakdown with visualizations, identifies patterns, and suggests potential causes. All through conversation.

Financial Modeling

You: "Build a 3-year revenue forecast based on historical data and 15% growth assumption"

Stash: Generates the model, creates sensitivity analysis, and visualizes scenarios. No Excel formulas needed.

Customer Analytics

You: "Segment customers by purchase behavior and lifetime value"

Stash: Performs clustering analysis and creates customer personas with actionable insights. Python code runs invisibly in the background.

Supports Multiple Data Sources

  • Excel and Google Sheets
  • CSV files
  • SQL databases
  • JSON data
  • API integrations

All accessible through natural language. No SQL queries to write, no import scripts to configure.

Getting Started

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