In the last decade, incredible improvements have been made on the data collection side that helps the processing pipeline. However, various datasets are managed and maintained by several organizations in disconnected systems. This causes some information about the data to be lost during this transition, and people doing the cleaning have no control over the collection. The solutions to data cleaning challenges that arise demand varying degrees of personnel hours, which in some cases could be avoided through automation.
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