Businesses around the globe are investing heavily in analytics, AI and big data initiatives.
The search for talent, however, has been focused primarily on data scientists.
There is no doubt that data scientists are critical to building models and extracting insights out of vast amounts of data.
However, a role that is equally if not more important is that of a “data translator.” A role that interprets data science into actions that drive change or solve a problem.
Data translators are even more critical in traditional sectors like manufacturing, mining and agriculture, where leaders generally come from non-tech backgrounds.
A good data translator brings in a combination of domain expertise, technological know-how and deeper business understanding. They should be able to translate data into stories and meaningful actions.