Big data is meaningless without data scientists

Kirsten Doyle | February 25, 2019

Big data is meaningless without data scientists
Without the skills and knowledge of professionals who turn data from multiple sources into actionable insights, big data is meaningless. This is why more and more organisations are looking to employ data scientists, who know how to glean value from the flood of data that is drowning enterprises today. Five years ago, the data scientist job title was relatively new in SA, says David Logan, modelling solution scientist at Absa, who will be speaking at ITWeb Business Intelligence & Analytics Summit 2019, to he held on 14 and 15 March, at The Forum in Bryanston. "Since then, awareness and interest around the [data scientist] role has grown exponentially," he adds. "What was true then remains true now: the key deliverable in data science is the ability to extract value from data." However, while having a data science capability is an opportunity for value creation, it is not a guarantee, warns Logan, adding that the cost of employing data scientists versus the benefit varies tremendously across organisations.

Spotlight

While a fog of hype often envelops the omnipresent discussions of Big Data, a clear consensus has at least coalesced around the definition of the term. “Big Data” is typically considered to be a data collection that has grown so large it can’t be effectively or affordably managed (


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