A Marketer's Guide To Data Science

By Jonathan Buckley, Senior VP of Marketing, at Qubole

Big Data holds lots of potential, but hasn’t quite lived up to the hype everyone originally expected. Many companies have heavily invested in building data strategies, but ROI has been slower than they anticipated. For the moment, many point the finger at still developing technologies, inexperienced professionals, and a lack of communication between analysts and marketers.

It’s this last point, poor communication, that deserves most of our attention. Data platform technology and analytical tools will improve and so will experience levels as this trend becomes more cemented. However, a lack of communication will always remain a problem unless companies take the time to fix it.

To help marketers better understand data scientists and their methods, it may be worth reviewing with your clients some common terms, their usage, and finally how to manage a data science team.  

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