
Did you know that the global revenue for big data and analytics is expected to reach nearly 275 billion dollars by 2022? For enterprises looking to leverage their data to its highest potential, one of the biggest challenges is finding practical and scalable ways to use the data. To fully unlock the power of that data, you’ll likely need a data analyst or a data scientist on your team.
The real question then is: do you need a data analyst or a data scientist? Let’s take a look at the role of data analyst vs. data scientist to figure out what’s right for your enterprise.
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