Employees, divisions, and projects all increase in lockstep as your organization expands. As the number of your cross-functional teams grows, ensuring effective communication and data accuracy becomes more and more challenging.
Hence, to achieve continuous improvement, deploying a robust Project Management Platform is essential. This can help you automate processes and boost efficiency.
One of the effective ways to store and access data is to use Microsoft Excel. It provides a seamless way to not only store data but also to carry out an efficient analysis.
Prerequisites
- An Active Jira Licence.
- Microsoft Excel Licence.
- Working knowledge of Microsoft Excel.
- Working knowledge of Jira.
Introduction to JIRA
JIRA is a popular Project Management tool that is used to track bugs, issues, and the progress of various tasks associated with an organization’s Software and Applications development.
JIRA has a powerful and feature-rich Dashboard that makes tracking these tasks related to bugs and issues a breeze.
It comes in a number of packages/varients, including JIRA Core, Software, and a Service Desk, each of which focuses on simplifying tasks such as Generic and Agile Project Management.
Introduction to Microsoft Excel
Microsoft Excel is a Spreadsheet Application that is included in the Microsoft Office Suite. It works with Windows, Mac OS, Android, and iOS.
It makes it easier to create text and numeric grids, calculate formulas, use graphing tools, build pivot tables and use VBA Macro Programming language (Visual Basic for Applications).
Steps for Integrating Microsoft Excel to Jira
- Step 1: Create a Microsoft Excel Spreadsheet
- Step 2: Save Mircosoft Excel File/s as CSV
- Step 3: Using the CSV Importer to Load Data from Excel to Jira
Step 1: Create a Microsoft Excel Spreadsheet
There are a few things to keep in mind while preparing your spreadsheet on Microsoft Excel:
- The Type of Issues that get imported is determined by the project configuration in which you want to import tasks.
- All column names in your Microsoft Excel file represent a Jira Field Name. Hence, even the column, Issue Type represents a Jira Field.
- You must ensure that the Epic Name for each Epic matches exactly with the Epic Link column for every task.
- The title of your Jira Issue/Task should appear in the Summary Column.
- Check your configuration to see what your Priority names are before importing Priority column data
- The Assignee Column’s content is will depend on your user naming convention.
- Adding the description field is optional.
Step 2: Save Microsoft Excel File/s as CSV
- Once you’ve created your Spreadsheet by following the points mentioned above, you need to save your file containing the JIRA data as a CSV UTF-8 File.
- It’s essential to choose the UTF-8 Character Encoding to help avoid any data issues later on, especially if you’re working with a language other than English.
- With your file now saved as a CSV file, you can now open it on any notepad application, such as Notepad++. This is how the Jira Importer will perceive your file when you import it:
Step 3: Using the CSV Importer to Load Data from Excel to Jira
- When managing your data for Jira bulk upload from Excel, you will frequently need to create a large number of tasks.
- Creating them one at a time will take a long time and effort, and it is not necessary. If you learn how to use a CSV importer, it won’t take long to create/update hundreds or thousands of tasks hence making exporting data from Excel to Jira simple
- Now, with your file ready, all you need to do is use the CSV Importer in Jira to import your data. You can do this by going to the Jira Administration > System > External System Import > Export.
This is how you seamlessly integrate Microsoft Excel to Jira and start importing your data with ease!
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Conclusion
This article provided you with a step-by-step guide to help you connect Microsoft Excel to Jira with ease.
Simplify data extraction by following our guide on exporting Jira issues to CSV. Make your data analysis more efficient.
It also provided you with an in-depth understanding of both platforms, along with a detailed list of features these platforms have in store for you.
Davor DSouza is a data analyst with a passion for using data to solve real-world problems. His experience with data integration and infrastructure, combined with his Master's in Machine Learning, equips him to bridge the gap between theory and practical application. He enjoys diving deep into data and emerging with clear and actionable insights.
No-code Data Pipeline For Jira
