The state of data quality: Too much, too wild and too skewed

2020-04-28 05:00

This is all easier said than done and one of the biggest concerns that businesses have around their data is the quality - a fact confirmed by 1,900 people surveyed at the end of last year on the state of data quality.

Over 60% of respondents indicated that too many data sources and inconsistent data was their top data quality worry.

The poor data quality controls at data entry is fundamentally where this problem originates, as any good data scientist knows, entry issues are persistent and widespread, if not stubborn.

Almost half are already using machine learning or AI tools to address data quality issues, automating some of the tasks involved in discovering, profiling and indexing data.

Data governance, like data quality, is fundamentally a socio-technical problem and as much as ML and AI can help, the right people and processes need to be in place to truly make it happen.

News URL

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