Anaconda vs Microsoft Power BI

• Clear install story. There are a lot of ways to install python. There's only one way to install anaconda. This makes teaching and standardizing much easier.
• Batteries included. It's easy to install things in python, but anaconda ships with most of what you need out of the box. This helps with standardization and reproducibility.
• Good integrations with Jupyter and other visual tools. Jupyter is really convenient when learning various python packages. Anaconda makes these tools easy to launch and to use.

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• Engaging dashboard displays with drag and drop modules to convey data in a meaningful ways.
• Familiar Microsoft "Ribbon" type interface that creates an integral feel with the rest of the Microsoft suite of products.
• Built-in mobile optimization window and associated Mobile applications that allow viewing from any location connected to the server.

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• Although some other users mentioned the installation is "simple", we did encounter some challenge in a highly controlled environment (due to security reasons).
• Jupyter Notebook is extremely slow when the client/server side of the network's speed/bandwidth is not balanced.
• Bootstrapping Anaconda takes too long, sometimes I even started doubting it would respond any more.
• If there are extra python packages you need but are not by default installed by Anaconda, then some efforts will be required to figure out how to put them in the right place.

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• It is such a powerful system that it can come across as intimidating for some without some Excel knowledge
• I'm not a database analyst or administrator, so calling the data in can be difficult (not necessary the fault of the software, but something that could be difficult for teams without someone with database knowledge)
• It can come across as confusing, when there is both a local Power BI and online Power BI components. They don't necessarily do the same functions. You'll definitely want to know how to use the online version as this is how you'll publish and share the results of your findings, but the local one has a lot of capabilities that don't appear to be directly available in the online version (and if so, it's not immediately apparent).

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• We can get any new employee set-up on Python for Machine learning in minutes, without any assistance from IT. That's real $ savings.
• We started to experiment with Machine Learning a lot more, which leads to creating new projects which can have a tremendous impact on the business.

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• I'm using the free version, so the only investment was the time spent to learn how to use the product (which as an Excel user, was very short).
• I use Excel to store every single bit of information about all the projects I do, and being able to see them visualized helped me see some redundant steps I was taking.
• No negative impact at all for me.

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