Integrate Atlassian with Google BigQuery
Millions of users globally rely on Atlassian products every day for improving software development, project management, collaboration, and code quality. Atlassian products include: JIRA Software, JIRA Service Desk, JIRA Core, StatusPage, Confluence, HipChat, Bitbucket, SourceTree, Bamboo, Cover, FishEye, Crucible.
About Google BigQuery
Querying massive datasets can be time-consuming and expensive without the right hardware and infrastructure. Google BigQuery solves this problem by enabling super-fast, SQL-like queries against petabytes of data using the processing power of Google’s infrastructure.
It’s a scalable, no-setup service that gives you real-time business insights about your data.
Integrate Atlassian With Google BigQuery Today
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Atlassian's End Points
Request information about your service desk instance, including its version number, how long the instance has been running and what build it is. Accessing this data will, among other things, allow you to more successfully integrate your service desk with other relevant data sources.
Create a customer entity in JIRA Service Desk by providing Atlassian with the customer’s name, email and display name. Then, use this data in other endpoints to track service requests for a specific customer or integrate it with customer service data from other sources to provide a more comprehensive view of a customer’s journey.
Retrieve data on organizations that are engaging with your service desk, including the organizations’ names, IDs, properties and associated users. Then, access this endpoint to track those organizations, their users and their service requests so that you can have a better understanding of your service interactions with them.
Track any and all customer service requests and get relevant data, such as the customer’s contact info, the reason for the request, and the status of the request (what step it is on in your customer service process). Use this data to evaluate how well your company is responding to these requests and/or monitor customer service trends.