Bridging the gap: How citizen data scientists can turn data into actionable information
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Barry Mostert Barry Mostert
Bridging the gap: How citizen data scientists can turn data into actionable information

The term "citizen data scientist" was originally coined by Gartner to describe advanced data and analytics professionals whose objective is to derive value from their data through machine learning (ML). The process transforms organizations from being simply data-driven – where you could make a decision simply based on trusted, static historical data, such as an ERP data export – to becoming analytics-driven. Being analytics-driven means using advanced analytical techniques like ML that consider all relevant data at the lowest possible granularity to train models that produce predictions or recommendations for strategic business decisions.

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