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"Although we have sensor data, it cannot be used on-site," and "We tried a PoC but couldn't achieve accuracy, and management approval has not been granted" — equipment maintenance often comes to a standstill at this "one step away." This case study reveals the steps taken to overcome three challenges hindering equipment maintenance in aging plants: 1. The risk of unexpected shutdowns due to aging, 2. The retirement of skilled maintenance personnel and the loss of tacit knowledge, and 3. The barrier of lacking a data infrastructure that halts PoC efforts. We will outline a four-step process centered around the Databricks Data Lakehouse (digitizing records → data integration → assetizing "intuition" → automating maintenance planning). [Recommended for those who:] - Want to implement equipment maintenance but are struggling with data infrastructure development - Have not achieved accuracy in their PoC and have not received management approval - Face challenges in inheriting tacit knowledge due to the retirement of skilled maintenance personnel - Have sensor data but are not fully utilizing it.