OpenOs Frequently Asked Questions

OpenOs Frequently Asked Questions. OpenOs: The ultimate no-code predictive analysis tool with natural language to SQL, advanced analytics, and predictive modeling for marketing, product, and customer success.

FAQ from OpenOs

What is OpenOs?

OpenOs is a no-code predictive analytics platform that helps users derive insights from data without programming. It features a natural language to SQL interface, advanced analytics, and predictive modeling capabilities, aiding marketing, product, and customer success teams in data-driven decision-making.

How to use OpenOs?

Sign up and connect your data source to start using OpenOs. By typing natural language queries like 'Predict user churn & purchases for users from Source A within the next 7 days', you can build predictive models. OpenOs provides real-time insights, feature analysis, smart segmentation, and time series forecasting. It also integrates with Google Analytics and Mixpanel for enhanced machine learning analysis.

Do you offer a free trial?

Yes, OpenOs offers a two-month free trial. Billing starts only when predictive models achieve an accuracy of 75% or higher. No credit card or contract is required to begin.

Is the tool similar to Mixpanel or Google Analytics?

OpenOs complements tools like Mixpanel and Google Analytics by adding predictive capabilities to their analytical insights. It integrates these tools as data sources for a comprehensive analysis.

What if my data is unorganized or needs structuring/cleaning?

OpenOs handles unstructured data, performing all necessary cleaning and preparation steps to ensure data is ready for predictive modeling.

Do I need any technical knowledge to use the product?

No, OpenOs is designed for non-technical users. No coding or technical skills are needed to use the platform.

How customizable is the product?

OpenOs offers tailored models during onboarding for automated insights. Users can later create their own predictive models without any coding expertise, providing a high degree of customization.