8x8 is a cloud-based VoIP system that provides an array of communication services to businesses, including virtual office numbers, a versatile communications console and a wide range of analytics. The analytics can provide important call insights - including the average duration of a call and how many calls are abandoned or missed - as well as agent performance analytics, like who is completing the most calls or who has the longest wait times. 8x8 can also use that data to improve customer interactions, tracking agent skill sets in order to match customers with the agents that are most equipped to help them.
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.
Popular Use Cases
Bring all your 8x8 data to Amazon Redshift
Load your 8x8 data to Google BigQuery
ETL all your 8x8 data to Snowflake
Move your 8x8 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
8x8's End Points
Track a wide range of data about interactions that your agents have, including what customers are being contacted, the durations of the calls and the number of abandoned calls. Then, integrate that data with any number of tools that track customer interactions to improve your overall customer service performance.
Monitor interactions within a specific campaign and see data like who is making calls, the total call time, the relevant phone numbers and the record statuses for those interactions i.e. new, queued, accepted, completed or scheduled. These individual campaign metrics can then be used to track campaign performance trends and improve the effectiveness of future campaigns.
Get details about an individual agent or group of agents, including their names, IDs, groups, and level of access. You can also use this data to request a range of other information about those agents from different endpoints, including what activities they are involved in or what interactions they have had.
Retrieve a list of the agent groups in your organization, including their names, IDs, and deletion statuses. This data will allow you to request more specific information about that group’s performance from other endpoints, such as the agent endpoint.
Mode's End Points
Mode White-Label Embeds and Visualizations
Mode SQL Editor
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.
Mode Helix Data Engine
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.
Mode Dashboard Features
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 Native Python and R Notebooks
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.