The Smart Way to Deal With Messy Data

#artificialintelligence 

The processing required to prepare unstructured data for analysis can be cumbersome and prone to error. That's why companies should do more to organize their data before it is ever collected. Unstructured data -- data that is not organized in a predefined way, such as text -- is now widely available. But structure must be added to the data to make it useable for analysis, which means significant processing. That processing can be a problem.

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