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The true cost of dirty data: 4 ways to tackle common data prep issues

Presented by

Sam Priddy - Tableau; Jason Harmer - Telus; Gordon Strodel - Slalom

About this talk

You may (or may not) be surprised to hear that data scientists spend a staggering 80% of their time on data prep activities. Dirty data – that is, data that’s poorly structured, full of inaccuracies, or just plain incomplete – is a source of constant headaches, but it can also have a severe impact on your bottom line. This webinar examines the cost of dirty data and counts down four ways to tackle common data prep issues so that you can devote more time to more valuable data activities. Inside, learn: • Why dirty data happens • The impact and annual costs of poor data quality • Four common data prep issues (and how to solve them) • And more
Tableau Software, A Salesforce Company

Tableau Software, A Salesforce Company

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Tell your story in data
Tableau’s mission is to help people see and understand data. Our platform makes visual analytics intuitive, allowing people to quickly answer questions with data and share insights across their organization. Global enterprises, early-stage startups, nonprofits, and governments all use Tableau to quickly transform their raw data into powerful and actionable insights.
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