Capgemini Consulting supported Siemens designing and implementing analytics-based services for connected buildings
The “Way of Siemens” is more than pure energy management. The use of Big Data and Analytics is exactly what today´s market expects.
Headquartered in Zug, Switzerland, the Building Technologies Division of Siemens is a leading provider of automation technologies and services for commercial, industrial and public buildings and infrastructures across their entire lifecycle. Essential applications include energy efficiency, automation, comfort, fire safety and security. The division offers products, solutions and services that optimise the energy costs, reliability, comfort and performance of buildings while meeting ecological and sustainability requirements. The Division has a broad customer base that includes owners, operators and tenants of public and commercial buildings as well as general contractors, system houses and original equipment manufacturers (OEM).
For the last decade, the market for commercial building automation has been changing significantly. The consolidation of suppliers and service providers drives commoditisation, and innovations in the area of connectivity and applications enable new players to enter the market. To reaffirm its position as one of the world’s market leaders in building technologies, Siemens decided to differentiate from competitors by providing innovative analytics-based services for connected buildings. The aim is to successfully respond to future global market trends that influence society´s behaviour as well as their demands regarding sustainability, comfort and efficiency.
Connecting buildings to provide analytics-based services requires thorough research, expert knowledge and detailed planning
Together, Siemens and Capgemini went through all steps from strategy and design to implementation of a comprehensive service platform for the Internet of Things.
Based on an initial analysis of market trends and requirements, we created and prioritised use cases as well as new innovative analytics-driven services around predictive maintenance, sustainability and energy management.
Siemens and Capgemini translated these services into individual building blocks – described as the business functions and specifications of the new platform. Furthermore, we defined the IT requirements and designed different IT architecture scenarios. Since a transparent customer installed base is essential for many services, we created a concept to harmonise it across different countries and products.
Based on these results we set up and managed the vendor selection process for the chosen architecture scenario. As part of the vendor selection process, we designed and managed a comprehensive proof of concept to validate key technical assumptions.
Finally, we supported the calculation of the business benefits and return on investment for selected offerings to identify “low hanging fruits”. After creating the target scenario, we developed a wave-based roadmap to implement this complex business and IT transformation project.
Results count – Siemens Building Technologies will strengthen it´s leading position, creating added value for building operators and investors
After the rollout Siemens Building Technologies will be able to differentiate from commodity providers through new services that optimise energy consumption, energy costs and sustainability, thus helping companies to achieve their sustainability goals against the backdrop of increasing energy costs and stringent government regulations. Furthermore, Siemens will be able to harvest insights from the harmonised global installed base for up- and cross-selling purposes and use analytics to optimise service performance.
The Siemens customer’s system availability can be improved through remote fault detection and diagnosis, system availability increases through remote fixes as well as predictive maintenance. Besides these customer benefits the new service platform also decreases maintenance costs for Siemens by avoiding truck rolls through remote fixes and more efficient maintenance.