Tech vendors boast about the hidden value of unstructured data as organizations can unearth real value from big data. But these vendors use the wrong approach. Instead of pulling the data apart, the first task should be to establish the right question like – Who is my best customer? What products are failing? Once the questions are set, a data scientist will start linking unstructured data to structured information available. The goal will be to find information that is connected to the problem at hand.
Data science professionals have a deal with business problems that might seem mundane, but amount to significant impacts. For example, a supermarket would want to know the right design to maximize its sales. For data scientists, predicting consumer behavior can be tough to quantify. Do they have to understand what aisles shoppers spend the most time on? How do other stores differ from the store in question? And what products sell well at what times?
https://www.analyticsinsight.net/the-art-of-data-science-making-sense-of-unstructured-data/
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