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.
Google Sheets is an online spreadsheet app that lets users create and format spreadsheets while simultaneously working with other people. Businesses can use Google Sheets to maintain data consistency across departments and to ensure that every member of their team is on the same page.
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 Google Sheets data to Amazon Redshift
Load your Google Sheets data to Google BigQuery
ETL all your Google Sheets data to Snowflake
Move your Google Sheets data to MySQL
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.
Use developer metadata to keep track of a location or an object in a spreadsheet. This can help you maintain data organization and clarity, even as you scale or continue to add new rows of information.
Create new spreadsheets, look up existing spreadsheets via spreadsheet ID, or get data on portions of a spreadsheet using filters. These functions can help you understand and consolidate your data for big-picture business insights.
Maintain full control over the values on your spreadsheet and add, clear, append, or update values as necessary. Use this flexibility to keep your data up-to-date and useful at all times.
Use sheets to copy a single sheet from a spreadsheet to another spreadsheet. This can be especially useful when you’re integrating data from various sources or reorganizing your data structure for analytics.