Azure DevOps Server (formerly TMS) vs TIBCO Data Science (including Team Studio and Statistica)

• The consolidation of issues is extremely useful for us. Having one place where all bugs are entered has helped our business process immensely.
• Being able to query data regarding user stories, bugs and code is extremely helpful. As well, using the visual tools built into the system can help with messaging regarding the status of a project.
• Being able to monitor code deployments is extremely helpful. Since we are managing multiple environments, this tool makes it easy to see what is happening where.

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• It has a great user interface, easy to navigate and learn on the fly.
• There are lots of great options for data organization and analysis! Makes it a handy tool for presentations as well.
• A collaborative ability is highly valued for my company where we often work from home or on site. Being able to share the data with those in the office so multiple people can look at it is a great tool!

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• The older versions of TFS are more lacking in the web version-- if you aren't updated to 2015 or above I believe, a lot of the web features are not available (like bulk update). You really have to keep up to date with TFS for the best features, and it's no simple task to migrate your entire instance of TFS from an older version to a newer version.
• VSTS is supposed to be a virtual version of TFS that we've been looking into, but it severely limits customization options for ticket templates and workflows. It would be nice for VSTS to eventually carry that customization over so we could feel more comfortable switching to "the cloud" so to speak.
• Queries are a very powerful tool, but normal business users struggle to understand how they can best utilize this tool to analyze tickets. Because of the permissions structure in all companies I have been a part of, I've never been able to save my custom queries to a public folder in TFS for business/project users. Instead, I have to take time to train these users and give them guidance on how to best create queries for their needs. This is admittedly a business process issue, but it could potentially also be resolved with some good training/guidance around queries provided by TFS themselves.

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• Unfortunately, some functionality is hidden per upgrade to other versions. Feel data mining functionality would be useful, but not budget for software. At the current price point, would have expected more (such as Mathematica breadth of functionality for one price).
• It is light on optimization capability.
• Slow when considering very large datasets, performing things such as distribution identification

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• Time to completion for projects has significantly gone down by 15% and that number changes as more people are trained and are comfortable with TFS.
• Change Management and Approvals are easier to access.
• More projects are implementing SCRUM methodologies for applications

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• Our company has had the program for less than 1 year. We don't expected a positive return this year. The goal is for Data Science to led to defined projects by the end of the end of the year and implementation in the following two. Overall, we are planning on 4 years to fully recoup the cost of the software and the cost of implementing identified projects.

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