DataGPT
The highest evolution of conversational AI analysts delivering advanced analytics and proactive insights without SQL expertise.
Overview
DataGPT is a conversational AI data analyst platform that enables users to interact with business data using natural language, providing analyst-grade answers and deep, actionable insights. It goes beyond simple text-to-SQL translation by developing and executing complex analysis plans, including anomaly detection, trend analysis, and key driver identification. Designed to democratize data access, it empowers all roles within an organization to make data-driven decisions quickly and accurately without requiring technical expertise.
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Key Features
Natural Language Querying
Ask complex data questions in plain English and receive detailed, analyst-grade answers instantly without needing SQL knowledge.
Advanced Analytical Capabilities
Supports descriptive, comparative, trend, correlation, causation, impact, and prescriptive analyses including key driver identification and anomaly detection.
Proactive Insights and Notifications
Automated daily summaries and email alerts highlight critical anomalies, trends, and key drivers to keep users informed without manual querying.
Data Navigator Interface
An intuitive interface allowing users to freely explore data, drill down into metrics, and uncover reasons behind changes with full accuracy.
Schema Configuration and Control
Admins can define data schemas, metrics, dimensions, and business context to ensure consistent, meaningful insights aligned with organizational definitions.
High-Speed Query Execution
Executes thousands of queries and statistical tests in milliseconds using proprietary architecture to deliver rapid, trustworthy analytics with zero hallucinations.
Multi-Team and Security Features
Supports multi-tenant environments with data isolation, access control, and enterprise-grade security for complex organizational needs.
Data Export and Visualization
Provides underlying data access with pagination, sorting, CSV export, and supports visualizations like line charts, bar charts, and stacked charts for metric and segment comparisons.
Use Cases
Business Performance Monitoring
Track key metrics like revenue, conversion rates, and customer churn with descriptive, trend, and anomaly detection analyses to quickly identify issues and opportunities.
Marketing Campaign Analysis
Compare campaign performance across segments and time periods, analyze correlations between spend and sales, and understand drivers of marketing effectiveness.
Product and Customer Insights
Explore customer segments and product categories to identify impact factors, correlations, and trends that inform product development and customer retention strategies.
Operational Efficiency Analysis
Analyze operational metrics to detect anomalies, understand causation, and identify key drivers affecting delivery rates, costs, or quality metrics.
Proactive Data-Driven Decision Support
Set up automated daily summaries and alerts to receive actionable insights and anomaly notifications without manual data exploration.
How to Use
Connect Your Data
Integrate your business data by onboarding schemas and defining metrics, dimensions, and business context in DataGPT's schema configuration.
Ask Questions Naturally
Use the conversational AI interface to ask any data-related question in natural language and receive detailed, analyst-grade answers instantly.
Explore Data with Data Navigator
Use the Data Navigator mode to freely explore metrics and segments, drill down into details, and uncover reasons behind data changes interactively.
Set Up Proactive Insights
Configure daily summaries and email notifications to automatically receive alerts on key metric performance, anomalies, and drivers.
Export and Visualize Data
Access underlying data tables, export CSVs, and generate charts to support further analysis and reporting.
Pricing
Pricing details are gathered from the official DataGPT website and are provided for reference only. Always confirm the latest information directly with the vendor.
| Plan | Price | Highlights |
|---|---|---|
| Pilot Plus | $10,000 | Includes 10 users
|
| Pilot Premium | $15,000 | Includes 50 users
|
| Pilot Enterprise | Custom quoted | Custom user volume and data volume
|
Pros & Cons
Pros
- Enables non-technical users to perform deep data analysis without SQL expertise.
- Delivers rapid and accurate insights with proprietary AI architecture minimizing hallucinations.
- Proactively notifies users of important data trends and anomalies to support timely decision-making.
- Supports a wide range of advanced analysis types beyond typical BI tools.
- Offers flexible schema configuration to align analytics with specific business definitions and context.
Cons
- Pricing is relatively high, potentially limiting access for smaller businesses.
- Requires onboarding and schema setup which may need technical input initially.
- Limited public information on integrations with existing BI or data platforms.
- No explicit free or freemium tier, which may deter trial use by some users.
- Complexity of advanced features might require some user training or support.
Frequently Asked Questions
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