As organizations push further into predictive analytics, advanced operations management, and fully integrated ODT ecosystems, one reality becomes impossible to ignore: Your digital twin is only as good as the data quality feeding it.

Across the industry, we see impressive investments in sensors, historians, cloud platforms, and advanced analytics. But many ODT initiatives still fall short—not because of weak models, but because of fragmented, incomplete, or low-context operational data. Improving data quality isn’t a one-time exercise. It’s a maturity journey

The value of ODT is determined not only by the availability of data
but also by the quality of that data. – Rayan Hafiz