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Data Quality – It’s a Dirty Job, but Someone’s Got To Do It

Angelo Cianfrocco

Data quality is the foundation on which EHS insights are built. When EHS data suffers from poor data quality, insights are eroded and the information that was once on a stable foundation is no longer suitable for analytics.

Many companies starting their data analytics journey make the mistake of skipping the data cleaning process all together. None of us want to see how the sausage is made, we just want the bratwurst to magically appear. But as we have seen over and over, insightful analytics cannot be achieved with poor data quality.

Only 3% of Data Meets Quality Standards

A 2017 Harvard Business Review article, “Only 3% of Companies’ Data Meets Basic Quality Standards,” outlined the data quality crisis best, stating that, “Forty-seven percent of newly-created data records have at least one critical (e.g., work-impacting) error.”

If you are struggling with data quality issues, know that you are not alone. Read our blog here. It links to our latest article on

June 17, 2021 @ 11:38 AM EDT Manufacturing, Chemical, Metals and Mining, Energy - Electricity Document Control, Environment, Health & Safety, Operations, Quality

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