How to Balance the Five Analytic Dimensions

So many data scientists select an analytic technique in hopes of achieving a magical solution, but in the end, the solution simply may not even be possible due to other limiting factors. It is important for organizations working with analytic capabilities to understand the various constraints of implementation most real-world applications will encounter. When developing a solution one has to consider: data complexity, speed, analytic complexity, accuracy & precision, and data size.
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