The new generation big data analytics solutions has come a long way in the last five years. They are getting deployed by enterprises where they are either complimenting or incrementally replacing their traditional analytics platforms for the data warehouse.
The big data analytics projects are increasingly driven by business users as they look for faster decisioning to create business value for enterprises in this dynamic, highly competitive and customer-centric world. I would like to call these business users, ‘the Decision Scientists’ as they apply domain knowledge and experience to make sense of insights discovered by data scientists and machine learning algorithms in order to make right decisions based on given context and business objective. They are not merely decision takers as they like to dig deeper into the data and insights and play with it before taking decisions.
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