BIG DATA ANALYTICS MISTAKES TO AVOID
1) Thinking data science is an easy task
Some professionals might have the misconception that if they have a degree in data science, they automatically know everything there is to know about big data analytics.
) Using the wrong analytics tool If you're using the wrong analytics tool, you can't make any decisions that'll help your business. You might think of doing something like segmenting your data in a different way but if you're relying on an old, inflexible tool, it won't work.
3) Not understanding business challenges
The biggest mistake people make when trying to solve business challenges is not fully understanding the root problem they are trying to solve.
4) Under-estimating complexity One mistake people make when analyzing data is failing to understand the full scope of what they are trying to achieve.
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