Analyze your Jira data in Python
Getting your data from Jira to Python can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.
With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both Jira and Python with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.
It’s that simple: Unblock your data with Panoply.
How it works
Automatically sync and store the data you want with table-level control.
See the Jira data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with Jira in minutes
Jira is an “issue management” tool that is used for bug tracking and project management in the mobile app and software fields. Panoply makes adding Jira data to your own Smart Data Warehouse seamless. With only a few clicks, Panoply imports all of your Jira data into your warehouse without requiring an ETL process in place. Once there, your data can be combined with any other data sources, and given to your analysts and IT staff for immediate review.
With Panoply, it becomes easier to store, access, query, and report on your Jira data. Whether you are analyzing the bugs in your program or reporting on the status of your system, Panoply’s end to end data management tool makes the process fast and easy.
Learn more:
Jira Data Warehousing
Jira Business Intelligence
Other connectors with Jira
Integrate with Python in minutes
Love the power of Python for analytics and machine learning but need a way to support it alongside other BI tools? Panoply makes it easy to pipe data to multiple analytics tools with 30+ code-free connectors you can set up in minutes.
Along with eliminating API configuration and maintenance, Panoply automatically stores a copy of your data in the cloud, making your queries faster and more stable. Plus, by powering all your BI and analytics tools with the same centralized data you can ensure that key metrics are consistent across the company, no matter who’s doing the reporting.
Learn more:
Documentation
Other connectors with Python
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