Who: Strabag SE & Microsoft
Strabag SE, a global player in the construction industry, found an innovative ally in Microsoft to establish a Data Science Hub. Aimed at leveraging decentralized data for generating insights, this partnership enabled Strabag to demonstrate the value of data through use cases such as their risk management project. The solution, which utilizes an algorithm to identify potentially risky construction projects, has led to significant savings in time and financial resources. With data steering its path, Strabag SE is pioneering a digital transformation within an industry that has been traditionally slow to modernize.
What: Pioneering data-driven efficiency in construction
Innovation in the construction industry isn’t merely about developing remarkable solutions and products. Instead, it often involves minor changes that can yield significant impacts. Strabag SE identified an opportunity for such change in the realm of internal data sharing. The data, although abundant, was stored in isolated units with no interconnections. Recognizing the need for a central entity to drive innovation and digitalization, Strabag partnered with Microsoft to create the Data Science Hub.
Before: The challenges of a decentralized data environment
Before this partnership, Strabag SE faced significant challenges. The company’s global sites were decentralized, and employees required multiple logins for access. This issue marked the starting point of their digitalization journey and the beginning of their collaboration with Microsoft.
The process: Constructing a centralized Data Science Hub
Having established a robust foundation of technology, Strabag began to explore ways to digitalize and leverage data. In collaboration with Microsoft, Strabag was able to integrate the Microsoft Intelligent Data Platform and phase out costly, complex point solutions. The implementation of this technology allowed Strabag to establish a centralized Data Science Hub, interconnecting every data source for analysis and generation of valuable insights.
After: Mitigating risks with AI
Strabag SE then utilized Azure OpenAI Service to create a solution that enables it to evaluate the potential impacts of a project at its earliest stages. This evaluation involves comparing it against all the realized projects, thus minimizing associated risks. The algorithm, with just three months of data, can predict risk with 80% accuracy.
Conclusion: Building a data-driven future
Strabag SE is continuously developing use cases to prove the value of being data-driven. By leveraging data, they aim to improve efficiency, optimize operations, and enhance sustainability. They believe that data science helps to prepare for the future and build a better tomorrow, not just for Strabag, but for the entire construction industry. Their vision is to embrace innovation and harness the power of data.
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