Core Concepts
Understanding these fundamental concepts will help you get the most out of Datapad's AI-powered data analysis platform.
AI Data Analyst
At the heart of Datapad is an autonomous AI data analyst that understands your business context and can perform complex analysis without manual intervention.
Natural Language Processing
Ask questions in plain English. The AI understands business terminology and context.
Contextual Understanding
The AI learns your business metrics, goals, and patterns to provide relevant insights.
Data Sources & Integrations
Connect all your data sources to create a unified view of your business performance.
Marketing Platforms
Google Ads, Facebook Ads, LinkedIn Ads, and more
Analytics Tools
Google Analytics, Search Console, Mixpanel
Databases
PostgreSQL, MongoDB, MySQL, BigQuery
AI-Generated Dashboards
Instead of building dashboards manually, describe what you want to track and let AI create optimized dashboards for you.
Smart Dashboard Creation
"Show me our marketing performance this quarter" becomes a comprehensive dashboard with key metrics, trends, and insights.
- • Automatically selects relevant metrics
- • Applies appropriate visualization types
- • Includes contextual insights and recommendations
- • Updates in real-time as data changes
Automated Workflows
Set up automated data analysis workflows that run on schedules and notify you of important changes.
Anomaly Detection
Automatically detect unusual patterns in your data and get alerts when metrics deviate from expected ranges.
Scheduled Reports
Generate and share reports automatically on daily, weekly, or monthly schedules.
Data Security & Privacy
Your data security is our top priority. All data is encrypted in transit and at rest, with enterprise-grade security measures.
Secure Connections
All API connections use OAuth 2.0 and secure tokens. We never store your raw credentials.
Data Isolation
Your data is isolated and encrypted. We comply with GDPR, SOC 2, and other security standards.
Natural Language Queries
Ask complex questions about your data using natural language. No need to learn SQL or complex query languages.
Example Queries
- • "What was our customer acquisition cost last month?"
- • "Show me conversion rates by traffic source"
- • "Which campaigns had the highest ROAS this quarter?"
- • "Compare this month's revenue to the same period last year"
Multi-Model AI Approach
Datapad leverages multiple AI models (Claude, GPT-4, specialized models) to provide the best analysis for each specific task.
Intelligent Model Selection
The system automatically chooses the most appropriate AI model based on the type of analysis, data complexity, and required output format.