Use Case

Elephas for Data Analysis

Explore datasets, generate insights, and create summaries from complex data. Ask questions about your data in plain English.

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The Data Analysis Challenge

You have data everywhere—spreadsheets, CSV exports, database dumps, reports—but extracting insights still feels like pulling teeth. You're either writing complex queries, building pivot tables, or explaining your findings to stakeholders who don't speak data. The gap between "having data" and "having answers" is frustratingly wide.

Data Analysis Pain Points:

  • Translating business questions into technical queries takes time
  • Dataset documentation is scattered or nonexistent
  • Communicating findings to non-technical stakeholders is challenging
  • Exploratory analysis requires constant context-switching
  • Cloud AI tools can't handle proprietary or sensitive data

How Elephas Enhances Data Work

Elephas bridges the gap between your data and your insights. Import data dictionaries, schema documentation, and even sample datasets. Ask questions in plain English, get explanations you can share with stakeholders, and generate documentation that makes your work reproducible.

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Natural Language Data Exploration

Ask questions about your data in plain English. "What does the customer_status field represent?" or "Which tables contain revenue data?" Elephas answers using your documentation and data dictionaries.

Insight Documentation

Generate clear explanations of your findings for stakeholders. Transform technical analysis into executive summaries, methodology notes, and data stories.

Schema & Dictionary Management

Build knowledge bases for your data assets. Import data dictionaries, schema docs, and README files. Query across all documentation instantly.

Key Features for Data Analysts

Data Dictionary Intelligence

Import your data dictionaries, schema documentation, and ERD descriptions. Ask "What does this column mean?" or "Which tables have customer data?" and get instant answers.

Try: "Explain the relationship between the orders and customers tables"

Analysis-to-Summary Translation

Transform your technical findings into stakeholder-friendly summaries. Generate executive briefings, methodology documentation, and data stories from your analysis notes.

Try: "Turn my regression results into a summary for the marketing team"

Query Assistance

Describe what you want to know, and Elephas helps you formulate the right approach. Get suggestions for SQL patterns, statistical methods, or visualization strategies.

Try: "How would I calculate month-over-month growth rate for each product category?"

Team Knowledge Base

Build shared knowledge bases for your data team. Document tribal knowledge, common queries, gotchas, and best practices. New team members ramp up faster.

Try: "What's the approved methodology for calculating customer lifetime value?"

Data Analysis Workflows

Scenario: Exploring a New Dataset

  1. Import the data dictionary and any existing documentation
  2. Ask: "Give me an overview of this dataset and its main entities"
  3. Ask: "What are the key fields for analyzing customer behavior?"
  4. Ask: "Are there any known data quality issues I should watch for?"
  5. Get oriented in minutes instead of hours of manual exploration

Scenario: Communicating Results to Stakeholders

  1. Paste your analysis notes and key findings
  2. Ask: "Turn this into an executive summary for the VP of Marketing"
  3. Ask: "What are the 3 most important takeaways in plain language?"
  4. Ask: "Generate a methodology section for appendix documentation"
  5. Share findings that stakeholders actually understand and act on

Scenario: Onboarding to Company Data

  1. Create a Brain with all data team documentation
  2. Ask: "Where does customer acquisition data come from?"
  3. Ask: "What's the standard way to join user events with transactions?"
  4. Ask: "Who should I talk to about the payments data pipeline?"
  5. Ramp up on institutional knowledge without bothering teammates constantly

Why Data Teams Choose Elephas

Private & Secure

Local AI for proprietary data. Keep company datasets and documentation confidential.

Always Available

Works offline. Query documentation on planes, at client sites, anywhere.

Context-Aware

Build knowledge bases specific to your data assets and team practices.

Fast Iteration

Get answers in seconds. Explore hypotheses without writing code first.

Get Started with Data Analysis

1

Download Elephas

Free download for Mac. Setup takes 5 minutes.

2

Import Your Documentation

Add data dictionaries, schema docs, and team guides.

3

Ask Your First Question

Try: "What data do we have for analyzing customer churn?"

4

Build Your Data Knowledge Base

Add more docs as you go. Elephas gets smarter over time.

Frequently Asked Questions

Can Elephas connect directly to my database?

Elephas works with exported documentation and data—not direct database connections. This keeps your production systems secure. Export data dictionaries, schema docs, and sample queries to build your knowledge base.

Is this a replacement for SQL or Python?

No. Elephas complements your technical tools by helping with documentation, exploration, and communication. It won't write your production queries, but it will help you understand your data and explain your findings.

How do I handle sensitive data?

Use local AI models (Ollama) for complete privacy. Your data documentation stays on your Mac and is never sent to cloud APIs. Only add data you're comfortable analyzing locally.

Can my whole data team use this?

Yes. Each analyst can have their own Elephas setup. Share Brain exports to distribute common documentation and best practices across the team.

What kind of documents should I import?

Data dictionaries, ERD diagrams (as PDFs), schema documentation, README files, SQL query examples, methodology docs, and any tribal knowledge you've written down. The more context, the better.

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