DataChat is a built-from-scratch analytics platform based on DataChat’s Guided English Language (GEL)©.
Our platform allows a variety of users to do everything they need to do in their data journey, including data wrangling and preparation, visualization, exploration and predictive modeling without needing to learn complicated programming languages and traditional data science tools.
Your team can build more sophisticated analytics pipelines that are transparent and that can be validated by everyone involved. The clarity builds trust in their decisions, and together you can collaboratively build on past decisions, and communicate in a consistent way.
DataChat’s GEL puts powerful data engineering, wrangling, and preparation at everyone’s fingertips.
- Fill in missing values, calculate averages, create pivot tables, and more quickly and easily without complicated formulas or interfaces.
- Built-in annotation support helps make even the most complex dataset easy to understand and engineer.
- GEL also created replayable and shareable workflows that enhance transparency and trust by creating an easy-to-follow record for every data product, including machine learning models.
Automated analytics and visualizations help provide intuitive, statistical summaries of your data and simplify the data exploration process.
- Help discover trends and insights quicker than ever before.
- Leverage workflows to automate routine work from engineering to discovery.
Machine learning tools support every user, from the business user to the data scientist.
- Helps uncover interesting patterns in your data.
- Automatically optimizes complicated machine learning concepts such as cross-training and cross-validating several models, so you don’t have to.
- Automated for routine functions, saving time for data teams.
GEL enables collaboration and co-creation across functions, while Insights Boards and workflows give visualizations and other narratives a shared space that encourages discussion.
- Enables real-time collaboration, co-creation, and iteration across teams and departments.
- Insights Boards and Workflows give visualizations and other narratives a shared space that encourages discussion.
Modern SaaS Deployment
DataChat’s state-of-the-art, secure SaaS platform supports multiple authentication methods.
- Database processing allows for efficient, scalable work with very large datasets.
- Rich database connection support for all major database systems, including : Snowflake, BigQuery, PostgreSQL, Redshift, SQL Server, MongoDB, and more.