Nate GoethelTechnical Writer
May Webinar Recap: An Introduction to DataChat
We recently hosted a webinar to show how DataChat’s Conversational Intelligence is transforming the way organizations leverage AI and BI to make data-driven decisions. In this 30 minute video, Jignesh Patel, co-founder and CEO, and Danny Thompson, Executive Vice President of Sales, gave an introduction to our all-in-one, state-of-the-art analytics platform, discussed the benefits of using our Guided English Language to create no-code data science pipelines, and gave examples of success stories from our customers.
Some common questions from the webinar included:
Is DataChat a SaaS platform? What cloud vendors do you support?
Yes, DataChat is an analytics SaaS platform and can run in any major cloud provider, including Amazon Web Services (AWS), Google Cloud Provider (GCP), or Azure. Also, we allow customers to deploy in their private cloud to address any data privacy concerns.
What data sources can DataChat support (files, database, etc)?
DataChat supports a number of data sources including common flat files (such as CSV, TSV, and Excel files) and many major database systems, including Snowflake, BigQuery, Postgresql, MySQL, SQL Server, and more.
Can a college student get access to DataChat?
Send an email to email@example.com. We are spinning up a new program to provide FREE access to the DataChat platform for a limited amount of time specifically for college and university students. Also, we are launching DataChat University to help you learn the platform at your own pace. Lastly, we provide very rich documentation on our website that is available to our customers.
DataChat is a cohesive analytics platform that uses natural language to make a broad range of data science tools, including data wrangling, preparation, exploration, visualization, and predictive modeling, accessible to everyone to improve business outcomes. Contact us or schedule a demo to learn more about how DataChat can help you improve your business outcomes.