Think like a Data Prepper: Explaining ‘Why Self Service Data Prep’ (Part 1)

In this series Tableau Zen Master Carl Allchin helps you put on your analytical cap, and shows you strategies for tackling any data prep problem.

Part 1: Carl takes you through the what and why of self service data prep.

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With many of us working in increasingly self-service analytics workplaces, more of us are working more closely with our companies underlying data than ever before. However, bring this analytical capacity to users means that more and more of us are having to try to wrangle disparate data sets together. Because of this, we’re starting our ‘Think like a Data Prepper’ series off with answering the question ‘Why Self Service Data Prep’.

We all dream for our analysis to start with a clean data set, but let’s face it, real life data is messy. Navigating the path from a dirty to an ordered data set can seem daunting, especially in the world of self-service analytics. However, you can learn how to break down any data prep challenge into logical (and manageable) steps. In this series Tableau Zen Master Carl Allchin will help you put on your analytical cap, and show you strategies for tackling any data prep problem.