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WashTec & Exasol

Optimizing Operations Through Predictive Maintenance

Case Study

WashTec’s journey towards a digital future

WashTec AG, a global leader and innovator in car wash technology, is fast becoming a data-driven company. As part of their digitalization process, they’re turning to Data Analytics to provide car wash operators and service technicians with the initial steps they need to implement predictive maintenance for their car wash systems. This not only prevents costly downtime, but also helps them ensure even more efficient operation.

Location

Germany

Employees

1800+

Industry

Car Wash

Product

Exasol Espresso

The Challenge

WashTec needed to step away from the previously isolated state of data for their car wash systems and establish a more unified data management system for their analytics.

The Solution

Implementing Exasol Espresso to enable them to rapidly analyze data for tens of thousands of car wash systems.

Benefits

Benefits for WashTec

Innovative and Efficient Operations

Faster data analytics and predictive maintenance ensure more reliable and efficient operation of car wash systems.

Sustainability and Cost Savings

Optimized chemical and water usage reduces operational costs while minimizing environmental impact.

Personalized Customer Experience

Intelligent systems enable tailored customer offers, enhancing service quality and customer satisfaction.

The solution runs absolutely stably and reliably. Working with Data Virtuality Pipes not only frees us from time-consuming data preparation and confusing data integration workflows, but also automatically loads current data into the database according to our predefined schedule. This allows us more time for strategic tasks and significantly promotes data culture and technological openness within the company, thanks to the high user-friendliness and quick access to current data insights.

Diana Grand, Data Analyst, WashTec

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