Alteryx vs Treasure Data

• Alteryx does a great job of allowing more beginner Analysts to automate many of their routine process but also allowing advanced Analysts to ability to leverage deep statistical modelling for predictive analytics.
• Given the visual workflow nature of Alteyrx, the learning curve is not steep.
• The Alteryx Gallery allows non-technical consumers to execute complex workflows by leveraging an intuitive web interface.
• Alteryx allows data scientists to bring their own programming language to Altyerx, such as R or Python.

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• CDP provides a unified view of data from all touchpoints in the customer journey until a single customer uses the service. This feature is very helpful in making service decisions and direction.
• It provides a variety of extensions to bring your data together in one place and helps you do this easily.
• Kits provided by Treasure Box provide basic but helpful methods for further development of services.

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• Sometimes the desktop version of authoring tool crashes! It's been unstable in the previous versions but gets better. Even if it doesn't crash, it used to be slow or not responding.
• When running several version of database drivers in local machine or server, it is tricky to set up database connections. Often you have to figure out it by googling the problem and solution. There are not many knowledge bases from Alteryx.
• Alteryx project file creates .bak file automatically. It is useful to prevent for the purpose of back up, sometimes it's not necessary. But it is not changeable for some reason. By default, it always creates backups.

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• Documentation is not always fully update --> better off reaching to support for some topics that are not covered
• Small bugs on the graphical user interface
• If 2 people are editing on the same project simultaneously, the latter that saves the workflow overwrites the changes of the former one

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• Alteryx does an excellent job of integrating consumer and spatial data to calculate and visualize things like locations within a certain drive-time radius.
• For visualization purposes I had to move the data to excel for some decent graphs.
• It can become very expensive.

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• Treasure Data has provided an immediate positive impact on seeing the details of the business, without having to aggregate multiple spreadsheets and use pivot tables.
• Treasure Data has helped to provide a positive predictive model for potential customers to upgrade their spending with the company, providing an immediate list of prospective leads to provide to the sales team.
• Treasure Data has now allowed us to define our LTV and 360-degree view of our customers, where we struggled with this before.

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