Why is it still so hard to turn data into real production results?

Factories today generate more data than ever, from machines, sensors, quality systems, and operators. Yet, many still struggle to see tangible results from all that information.

We’ve seen this pattern across the industry:

• Data is available, but rarely trusted.
• Dashboards are built, but decisions don’t change.
• Models show promise, but never make it into daily operations.
• And somehow, the people closest to the process are the least connected to the data.

The problem usually isn’t a lack of data or tools; it’s a gap between data science and manufacturing reality.
Real impact happens only when insights are embedded into workflows, when operators understand and trust what the data says, and when teams collaborate to close the loop between prediction and action.

Curious to hear from others:
What’s blocking the impact of data in your production environment?
And what helped you actually bridge the gap between analytics and operations?