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Academic Undertakings in Data Quality Discussions
Data quality discussions in the analytics world can often become overly academic and may not actually address data quality issues. Data scientists spending time on data wrangling and transforming data for analytical use is not necessarily a data quality process, but rather a consequence of combining multiple data sets with differing perspectives.