Dataherald is a cutting-edge, generative AI platform specifically designed to integrate with your company’s data and a vast array of pre-connected data sources, exceeding 1,000. Here’s a detailed overview of what Dataherald does and its key features:
Core Functionality
Dataherald combines the power of GPT (Generative Pre-trained Transformer) with your structured data to enable advanced data analytics, content generation, and visualization. This integration allows users to leverage natural language to interact with their data, making complex data queries and analysis more accessible.
Key Features
Natural Language to SQL (NL-to-SQL)
Dataherald features an NL-to-SQL API built with large language models (LLMs) like GPT. This allows users to conduct no-code data analytics, pull reports, and perform complex data queries using plain English, eliminating the need for technical SQL knowledge.
Automated Content Generation
The platform can write analysis, auto-generate data visualizations, and create templated content in seconds. This is achieved through a simple prompt-style interface that supercharges GPT with your structured data, enabling the generation of factual text and accompanying graphs.
Data Visualization and Reporting
Dataherald can generate data visualizations automatically, making it easier to understand and present data insights. The platform supports the creation of various types of content, including reports and dashboards, all from a user-friendly interface.
Enterprise-Level Question Answering
Dataherald is designed for enterprise-level question answering over structured data. It enables business users to get insights from the data warehouse without needing to go through a data analyst. This capability can also be integrated into SaaS applications to provide Q&A functionality directly from production databases.
Modular and Scalable
The platform is modular, allowing different implementations of core modules to be plugged in. It comes with best-in-class implementations for modules like text-to-SQL and evaluation, making it easy to set up and use with major data warehouses. Additionally, Dataherald supports active learning, which improves its performance with usage.
Speed and Efficiency
Dataherald is optimized for speed, allowing fast and efficient data queries and content generation. This makes it suitable for real-time data analysis and decision-making.
In summary, Dataherald is a powerful tool that democratizes access to data analytics by using natural language, automating content generation, and providing robust data visualization capabilities, all while integrating seamlessly with a wide range of data sources.
