Author: DATAVERSITY via YouTube
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In their efforts to become data-driven, business leaders are asking for timely insights, delivered in digestible dashboards, in understandable formats. These insights inform critical, sometimes expensive, decisions. 

At the opposite end of the information assembly line is the raw data, in its initial format, recorded from events or human action – dozens or hundreds of steps removed from the eventual summary leaders see.  

Those in the role of data creation may not understand the importance of the information they collect and document. What happens if the collection is inconsistent, missing, or inaccurate?   

Data literacy has implications at every step. 

How do we build literacy for those at the data origin to ensure the raw data materials create an accurate representation of reality? How have successful organizations enlisted the help of those on the front lines? 

In this session we explore the overlap between data literacy and data integrity.

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