What is data literacy? The text book definition as per Gartner is the ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied, and the ability to describe the use case, application and resulting value.
Looking at and thinking about that detailed, academic definition, what does all of that mean? How does that apply to digital analytics? How does it impact digital analytics implementation engineers and analysts?
On this week’s episode of the 33 Tangents podcast, Jason and Jim discuss their feelings on data literacy, it’s impacts on many areas of everyday life, and how the lack of it is causing issues in the world of digital analytics.
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