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Data is growing exponentially but much of it is unused, underused, or untrustworthy. We currently measure poor data (indirectly) by its impact—unscheduled downtime, operator error, underreporting of emissions, rise in safety incidents, etc. But perhaps we should instead look at the underlying data as a source of these failures. Poor data quality costs the average company more than 15% of revenue.

What if we could eliminate bad data and guarantee data reliability 100% of the time? Welcome to APERIO.

Data Integrity is foundational to every application in the digital transformation journey. Without accurate, trusted data, any function that uses this data—from the control room to the board room—is worthless and any operational or business decisions based on this data is unreliable.