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APERIO recently shared that they secured $9M in new funding to fuel growth and cement themselves as the world’s leading industrial data quality company. Several industry leaders—Momenta, Chevron Technology Ventures,…

In a large-scale industrial setting, the implications of poor-quality data can be unforgiving: Increasingly industrial leaders rely on data to drive operational decisions and if these decisions are based on…

The APERIO platform routinely processes industrial data from some of the world’s leading industrial companies, so securing our customer’s data has always been a primary ingredient of our architecture. As…

Predictive maintenance (PdM) has been hailed as a game-changer for maintenance operations in industrial companies, promising to reduce unscheduled downtime, optimize the costs of maintenance schedules, and prevent costly breakdowns.…

Sensor drift is a common issue in the industrial world that can have significant impacts on the accuracy and reliability of sensor data. It refers to the gradual, subtle changes…

In recent years, there has been a massive increase in the amount of industrial data generated globally. According to a report by IDC, the global volume of global data is…

What happens when a data scientist finds an error in the data? For example, what happens if you import a data set and one of the Excel tabs is missing?…

Identify when sensors begin to drift so that you can act before the equipment fails. At the first sign of any deviation, APERIO DataWise can alert the operator to make improvements before it’s too late.

Converging the IT and OT worlds has definite benefits as well as, many challenges. As digital transformation drives these worlds together, APERIO DataWise is the only solution that can find anomalies in both worlds.

Whether you are the PI system administrator, the PI end user, the IT leader, or a data scientist, you need good data to deliver optimum business value to your organization. Learn how to systemically improve the data quality of your PI data.