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Dirty data is costing you: 4 ways to tackle common data prep issues

Anyone who's ever analyzed data knows the pain of digging in only to find that it is poorly structured, full of inaccuracies, or just plain incomplete. But "dirty data" isn't just a pain point for analysts; it can have a major financial and cultural impact on an organization. Watch this webinar to learn four actionable ways to overcome common data preparation issues including how to establish a company standard for "clean data" and how to democratize data prep across your organization. This is part of the Turning data into knowledge series.

À propos des intervenants

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Sam Priddy

Data Visualization Guide, Tableau

For 6 years Sam has been at Tableau focused on help people reap the benefits of a data-informed culture with tools that allow rapid, user-friendly exploration of their information. From enabling individuals and organizations to make the most of their time in Tableau to empowering people ...

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Jason Harmer

Performance Analysis Consultant, TELUS

Jason Harmer is a visualization and analytics expert with over 10 years of results-driven data experience. As a creative leader, he has significant experience dealing with complex data governance, collection and transformation activities. Before moving to Calgary in August 2019, he was ...

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Gordon Strodel

Information Management and Analytics Consultant, Slalom

Gordon is an experienced data and analytics leader with more than seven years of consulting experience leading analytics initiatives for companies and organizations. At Slalom, Gordon focuses on solution delivery and helping people gain a deeper understanding of their business through ...

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