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Data Preparation use cases are often relatively simple, replacing crude, lengthy Excel processes with robust and automated workflows which can be error checked and tweaked, often with impressive savings of many hours or days of effort.
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While Alteryx offers tools for the citizen “data scientist” it is its self-service data preparation tools where customers see more immediate value and the vast majority of them use Alteryx solely for its data preparation, saving their longer-term aspirations for its data science capabilities. Boasting well over 200 tools it gives users the choice of running their analysis “in-database” (taking advantage of database performance) or locally (pulling data to the local machine) - the latter offering a much broader range of functionality. I hadn’t intended to use this post for long articles on single subjects but we very rarely see discussions or comparisons of the two tools from users, though I discuss it almost weekly, and so I thought I’d dive in and offer some thoughts on the similarities, differences and where each tool is heading.Īlteryx is a tool with a long pedigree that goes well beyond “simple” data preparation, Alteryx is an Advanced Analytics tool offering geospatial and predictive/prescriptive machine learning algorithms.
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#Tableau prep license series#
I thought I’d start the series with a few thoughts on Alteryx and Tableau Prep, a subject I’m often asked on in my position as both a Tableau Zen Master and Alteryx ACE. Welcome to #DataDump my weekly overview of all things data.