GoToWebinar is a service that allows users to record, host, and present live and on-demand webinars. With GoToWebinar, users can expand their reach, get more qualified leads, engage customers, and capture useful contact information. Furthermore, since videos are available on-demand, users can use them to increase long-term ROI and create a big-picture brand experience.
As an advanced, high-speed data analytics platform, Mode helps you understand the information in your data warehouses. As a hybrid solution Mode lets (1) data teams customize queries and visualizations in Python, SQL, or R; and (2) empowers non-tech-savvy users to dive into visualizations and explore live-updating reports to get the data they need.
Bring all your GoToWebinar data to Amazon Redshift
Load your GoToWebinar data to Google BigQuery
ETL all your GoToWebinar data to Snowflake
Move your GoToWebinar data to MySQL
Bring all your Mode data to Amazon Redshift
Load your Mode data to Google BigQuery
ETL all your Mode data to Snowflake
Move your Mode data to MySQL
Use corporate accounts to create and access important information. For example, retrieve a list of webinars within a given date range or request a list of organizers on the account.
Get a list of session attendees, collect poll answers, retrieve attendee questions, and more. Use this information to better understand the clarity and relevance of your content and to see how it has resonated with viewers.
As an organizer, you can create, edit, delete, and launch webinars. You can also add co-organizers, which is especially helpful if you want to coordinate across departments or with another business.
Collect any information that you might need about webinars: get current or historical webinars, retrieve audio information, collect webinar meeting times, gather performance statistics and more. Use this to understand and improve both webinar and campaign performance.
Mode's SQL editor features a schema browser to explore the tables and columns of your connected data sources. It also has an autocomplete function to assist with query writing, a query history to browse and reuse old queries, and advanced logic tools for creating loops, IF statements, and more.
The technology behind Mode's analytics solution is Helix, a high-performance in-memory data engine that combines modern drag-and-drop business intelligence tools with a code-first (SQL, Python, R) data science platform to offer an instantly responsive user experience. Mode streams query results into the Helix data engine to reduce database load, provide quick responsiveness, and give users the ability to visually navigate as much as 10 gigabytes of data.
Powered by SQL, Python, and R, Mode dashboards display automatically-refreshing metrics without the need for proprietary tools. Customize your dashboards the way you want, with on-brand reporting and interactive features to facilitate collaboration with others across your organization.
Mode features native Python and R Notebooks. This allows you to query in SQL, send the results to a dataframe in R or pandas, and conveniently access them in the platform's native Notebook. At the same time, a sidebar provides tips, shortcuts, and documentation to help you get the most of these features.