Big Data Analysis: Art or Science?

The main challenge of big data analysis is handling the data volume and speed needed to create meaningful actions. The analysis itself still boils down to the same requirement to uncover hidden patterns, correlations, and other useful information. Its primary goal is to help companies make better business and customer decisions, and the quality of those decisions is driven entirely by the quality of the analyst.
What skills and capabilities are required to be a good big data analyst?
At the beginning of any data analysis project, a good analyst will work with the client to generate a number of hypotheses. Analysts must decide what questions they are looking to answer on behalf of their clients. Clients will know they have an issue or requirement, but it’s up to the analyst to translate that into hypotheses and a scientific approach, which will ensure the output is robust and can be believed with confidence.

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