SUCCESS STORY
As an energy innovator, PAUL Tech AG (PAUL) develops advanced technologies and solutions that not only reduce CO₂ emissions but also increase the value of properties across diverse sectors. Their ambitious mission is to lower energy consumption and harmful carbon emissions to help properties achieve CO₂ neutrality simply, quickly, and affordably. By digitalizing central building systems with intelligent hardware and harnessing the power of artificial intelligence to optimize and automate volume flows, PAUL delivers remarkable energy and CO₂ savings. Their expertise spans a wide range of asset classes, from care facilities, hotels, and offices to residential buildings, retail spaces, and even maritime applications such as ships across Europe, Asia, and the US.
During the early business phase, PAUL recognized the importance of implementing a comprehensive data management strategy early in its journey to support expected growth. Their technology relies on capturing and processing millions of data points, necessitating a robust infrastructure. To maintain high data quality standards and ensure seamless integration across their internal systems, PAUL determined that adopting a Master Data Management (MDM) solution was crucial for their operations. This foresight in data strategy has positioned them to efficiently manage their complex data requirements.
They have realized several benefits from using Syndigo MDM, including:
When PAUL set out to revolutionize energy efficiency for the real estate industry, they encountered a significant data management challenge. Their business model required the ability to collect, process, and derive value from vast amounts of data across numerous real estate properties worldwide. This was not merely about storing information but creating a dynamic, scalable system that could transform raw data into actionable insights, support rapid global expansion, and facilitate a fully digital customer experience. To achieve this, they needed an MDM system capable of addressing critical challenges, including:
These challenges required a scalable and flexible MDM solution that could support its ambitious business operations.
PAUL’s AI-driven solution addresses the inefficiencies of heating systems by capturing and reusing energy that would otherwise be lost during transport, significantly enhancing building energy efficiency. The most crucial use of their artificial intelligence is the control of their systems. For example, the measurements they take result in actions such as opening and closing valves, turning heaters on and off, and more. While these tasks can be performed manually or with control algorithms, they specifically use artificial intelligence to manage them.
PAUL’s vision was clear from the very beginning: the entire process, from the first digital touchpoint to the final implementation, had to be supported by accurate and timely data. Syndigo’s cloud-native MDM met these requirements and more with its scalability and adaptability. With support from Syndigo’s partner Advellence, PAUL’s unique MDM needs were customized to align with their specific business and operational goals. Their data management operations now benefit from these advantages:
The system efficiently handles millions of data points recorded from a wide array of sensors and actuators in their customers’ properties. These are connected with the master data to transform them into actionable insights. Their customers typically own numerous properties—sometimes hundreds or even thousands of residential units—that all need to be accurately classified and recorded. The Syndigo system enables them to manage this complex web of data efficiently.
The MDM system also plays a vital role internally, supporting not only sales but also maintenance operations. Their Control Board can access property data in real-time, allowing immediate response to issues like heating system failures or valve malfunctions. This seamless integration across various systems—from CRM to ERP—highlights Syndigo’s versatility and importance as the backbone of its operations.
For their field service and direct sales teams, the MDM system is invaluable. While the initial data arrived in various formats, the system ensured comprehensive data processing, qualification, and enrichment, starting from on-site inspections. Technicians recorded precise data using a custom app, feeding it directly into Syndigo. This enriched data is then accessible to sales representatives, providing detailed insights into each property, including the number of residential units, insulation details, and heating installations.
PAUL values the flexibility of Syndigo’s master data model. For example, when they needed to add heat pumps to their data model they were able to complete it within a week, demonstrating the system’s flexibility and responsiveness.
Syndigo and Advellence worked closely with PAUL on strategy and implementation. The synergy between Syndigo’s MDM capabilities and the Digital Asset Management system, Sharedien, provided the ideal solution. The integration with Sharedien allows PAUL to efficiently stream, store, search, manage, and organize vast amounts of digital assets like images, videos, and documents which can be easily shared with employees and customers. This system is fully scalable and integrates seamlessly across multiple internal platforms, including Syndigo MDM. As a Syndigo partner, Advellence’s expertise in data and process management played a significant role in the success of the project.
With a solid MDM foundation in place, PAUL is well-positioned to scale its data management for the future as it delivers innovative sustainable energy services to customers worldwide. Its success demonstrates the demand for an innovative approach to energy efficiency that reduces costs for its customers and tenants and puts them on a path to CO₂ neutrality.