Azure DevOps

How to Customize Work Item Types in Azure DevOps

My last Azure DevOps post focused on the process. And if you are still stuck deciding which process to use, this post might help tip the scales. Do you need more work item types than the Basic process has to offer but Agile isn’t quite right? ADO provides a solution for this problem by allowing you to create work item types. This post will explain how to customize work item types so that you can get the most out of ADO. Read on to learn more.

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Clone Processes to Unlock Customization in Azure DevOps

If you are following along in my series on Managing Analytics Assets with Microsoft Azure DevOps, you read the post – 5 Questions to Ask and Answer Before Setting Up Azure DevOps. In that post, I asked you to think about which work item types you want to work with and which process. This week, I’m diving into the details of the process. I’ll show you how to set it, change it, and we’ll talk about why you should clone processes in AzureDevOps. Read on to learn more.

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Configuring Microsoft Azure DevOps

This is post four in my series on learning to use Microsoft Azure DevOps to manage analytics assets. Last week, I posed five questions to ask and answer before configuring ADO, so that you don’t have rework as I did. Now, we’re going to talk about configuring Microsoft Azure DevOps, specifically the organization, area paths, teams, and iterations. Read on to learn more.

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5 Questions to Ask and Answer Before Setting Up Azure DevOps

Welcome to Part 3 of my series on learning to manage analytics assets with Microsoft Azure DevOps (ADO). In Part 1, I explained how our analytics team works and why we needed an application to manage analytics assets. In Part 2, I talked ADO structure and terminology. This week, I’ll cover five questions to ask before setting up Azure DevOps to avoid rework. Read on to plan your ADO project.

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Manage Analytics Assets with Microsoft Azure DevOps

For the last 3 1/2 years, the Advanced Analytics and Emerging Technology team I work on has provided analytics solutions to our business units via Alteryx, Spotfire, PowerBI, PowerAutomate, and a handful of other applications. We’ve done such a great job building solutions that we needed a robust tool to manage them. Therefore, I’m kicking off a series of posts that explains how we manage analytics assets with Microsoft Azure DevOps.

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