Genesys Cloud
by Genesys
Genesys Cloud records every voice, chat, email and message conversation with its segments, queue, agent, wrap-up code and timings, alongside quality evaluations and routing setup. The analytics APIs return those details by interval, so moving them into the Lake lets contact center leaders measure service level, handle time and quality against CRM and staffing data.
- Category
- Communication
- Type
- Contact center
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- OAuth 2.0
02Data
What you can sync.
- Conversations
- Analytics details
- Queues
- Users
- Routing
- Quality evaluations
Join Genesys Cloud conversations with customers and orders to see which conversations lead to revenue.
Need more? Name any other Genesys Cloud data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- OAuth 2.0 (client ID, client secret, refresh token)
Genesys Cloud uses OAuth 2.0 (client ID, client secret, refresh token). You add the credentials once, when the AI asks for them, and it tells you where to create them in Genesys if you need help.
04Questions
Questions you can answer.
Once Genesys Cloud data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- Which queues missed their service level most often by half-hour interval last month?
- What is average handle time per agent by media type, and how does it change after coaching?
- Which wrap-up codes are growing fastest, and which customers do they involve?
- Do agents with higher quality evaluation scores generate fewer repeat contacts within seven days?
05How it works
How it works in DataMind.
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Pick Genesys Cloud.
Open Lake, pick Genesys Cloud in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Genesys Cloud API docs.
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Answer a few questions.
The AI reads the Genesys Cloud documentation, then asks which credentials you will use, which data to sync (for example conversations and analytics details), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Genesys Cloud data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Genesys Cloud.
Sources teams join with Genesys Cloud in the Warehouse, each one connected the same way.
