Once you have data, it’s smooth sailing and straightforward decision-making, right? Not so fast. There are many ways data projects go wrong because data work requires human input and can have human errors.

In this episode of Data Chats, Chris Richardson interviews Ben Jones, founder & CEO of Data Literacy and author of Avoiding Data Pitfalls: How to Steer Clear of Common Blunders When Working With Data

They discuss:

The relationship between the human realm and the data-realm
Common data blunders and how to spot them
How to effectively layer qualitative and quantitative data
The gap between data and reality

Continued Learning
Data Science for Business Leaders This course teaches you how to partner with data professionals to uncover business value, make informed decisions and solve problems. Learn More
Business-Driven Data Analysis This course teaches a proven, repeatable approach that you can leverage across data projects and toolsets to deliver timely data analysis with actionable insights. Learn More
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