Azure DevOps

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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