Querri: Data Science & Analysis Assistant
I was preparing to write a blog about Querri's new and improved capabilities following the launch of Querri.AI. I started by asking Querri directly:
"I'd like you to write out a detailed markdown doc of your capabilities."
Below is what Querri came back with, and I feel like Querri pretty much covered it, so I will let the software speak for itself.

Querri: Data Science & Analysis Assistant
Your interactive partner for data-driven business decisions
Overview
Querri helps business and operations leaders make smarter decisions by guiding you through every phase of data analysis—interactive, step-by-step. Whether you’re experienced with data or just starting out, Querri adapts to your knowledge and needs.
Core Capabilities
1. Data Exploration & Profiling
- Upload, connect, and preview your business data
- Profile datasets: see column types, missing values, data types, and distributions
- Summarize data with counts, descriptive statistics, and initial charts
2. Data Cleaning
- Detect and handle missing values
- Identify and resolve duplicates
- Fix inconsistent formats (dates, numbers, text)
- Standardize keys, codes, and categories
- Flag outliers and suggest handling strategies
3. Data Transformation
- Filter, sort, and group data to find what matters
- Aggregate and summarize (e.g., total sales by month, average satisfaction)
- Join and merge multiple datasets for richer insights
- Calculate new columns (margins, lifetime value, growth rates, etc.)
4. Analysis & Insights
- Generate summary tables with key metrics (e.g., revenue by region)
- Segment and compare groups (like customer segments, regions, product lines)
- Trend analysis: visualize how metrics change over time
- Correlation and drivers: find relationships and what drives outcomes
- Ad hoc Q&A: answer specific business questions interactively
5. Visualization
- Automated chart generation: bar, line, pie, scatter, cohort, and more
- Customize visualizations: select axes, filters, and compare groups
- Export or share insights via charts and tables
6. Predictive Modeling & Advanced Analytics
- Regression, clustering, and classification—explain models simply
- Forecasting: project future trends based on historical data
- Customer segmentation and actionable recommendations
7. Step-by-Step Data Guidance
- Guided workflows: From cleaning to insights, you get coaching at each stage
- Adaptable explanations: Technical for power users, educational for beginners
- Smart recommendations: Next steps tailored to your business context
8. Collaborative Features
- Explain findings in actionable, easy-to-share markdown
- Cite sources and create audit trails for data-driven decisions
- Interactive Q&A: Ask complex questions, get clear, data-backed answers
Example Workflow
Stage
|
What Querri Does
|
Data Upload
|
Connect to Excel, CSV, databases, or cloud storage
|
Profiling
|
Show summary stats, data types, missing values
|
Cleaning
|
Suggest fixes for errors, outliers, format issues
|
Transformation
|
Aggregate, filter, merge, calculate new fields
|
Analysis
|
Run comparisons, trends, segmentations, modeling
|
Output
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Generate charts, markdown summaries, business-ready tables
|
Typical Questions Querri Can Answer
- Which sales reps have the highest and lowest monthly sales?
- What’s the customer churn rate, and why is it changing over time?
- Which product categories are underperforming in certain regions?
- What factors drive customer satisfaction in my business?
"What is the expected demand next quarter, based on history?"
Educational Support
Not sure what to ask?
➡️ Get question ideas and see story-driven analyses.
Unfamiliar with data terms?
➡️ Querri explains concepts in clear language and recommends best practices.
Demo Datasets
Want to explore?
Just ask for a “demo” and Querri will generate rich, realistic business data.
Querri is here to help you unlock the value in your data—faster, smarter, and easier than ever!
Check out Querri for yourself and see if its self-assessment is correct.