Understanding Data Quality With Disney

Brandon Hecker
6 min readJul 14, 2020

If you were born and raised in Florida like me, you got used to seeing Disney everywhere! Even if you weren’t born in Florida, you’ve probably taken a vacation to the theme parks, or perhaps recently subscribed to Disney+. That’s the inspiration for this article — data literacy using shared experiences that most of us can relate to as humans!

The last thing you need in life is low-quality data that gives you inaccurate insight or takes you in the wrong direction. As companies in various industries of all sizes collect increasing larger amounts of data, focus on data quality and data management has become more important than ever. That’s where understanding common data quality themes can help you ensure that your data is used appropriately and that decisions and strategies are based on accurate information.

The challenge is, not to overcome the issue of data availability, but how to manage it as an input to strategy, decision-making, and business decisions. The following sections are summaries to explain many common themes around data quality aimed at making these topics approachable for the average business user.

1. Data Normalization

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Brandon Hecker
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I love meeting new people and learning new things! My mission is to challenge the status quo and turn data analytics into stories your users will love.