Self-service data analytics represents a new critical analytics capability for the business with the emergence of modern self-service data tools that empower non-developers, citizen data scientists, and data scientists to work with data and analytics more efficiently. The challenge with these tools in the business environment has been the fact that the traditional processes for managing data don’t fully comply with the shift away from a team-based, waterfall project approach to an agile, individual iterative approach. Accepting that both forms of data analytics development
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