Case Study: WashTec AG cuts data prep time by 50% with CData Virtuality

WashTec cuts data prep time by 50% with CData

WashTec AG, a global leader in car wash technology, faced a challenge with fragmented data spread across multiple separate systems including machine databases, sensor data, and cloud storage. This fractured landscape required extensive manual preparation, which slowed decision-making and hindered their ability to implement predictive maintenance and optimize sustainability. To address this, WashTec partnered with CData Software and its CData Virtuality product to create a unified data access layer.

The solution implemented by CData connected all data sources into a single access point, enabling real-time integration with machine learning platforms like Dataiku. This allowed WashTec to cut its data preparation time by 50%, achieve near-100% water recycling rates in key markets, and enhance predictive maintenance to reduce customer downtime. The measurable impact included major strides in sustainability, improved operational efficiency for their lean team, and the creation of real-time customer dashboards for greater transparency.

WashTec AG