Technology Category
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Transportation
Applicable Functions
- Logistics & Transportation
Use Cases
- Last Mile Delivery
- Transportation Simulation
Services
- System Integration
About The Customer
Gebrüder Weiss is a leading international transport and logistics company based in Lauterach, Austria. The company operates at 180 locations in 35 countries, employing more than 8,000 people. In 2021, Gebrüder Weiss reported an annual turnover of 2.54 billion euros. As a global logistics and supply chain solution provider, the company generates a significant amount of data from its operations, which is crucial for process optimization and improving delivery times to meet customer requirements.
The Challenge
Gebrüder Weiss, an international transport and logistics company, was grappling with the challenge of managing and integrating a vast amount of data generated from its operations. The data, which was crucial for process optimization and improving delivery times, was scattered across various on-premises and cloud environments. The heterogeneity of these data sources made it difficult to integrate the data for contextual analysis. The company's end users had to manually collect data in CSV files from different applications and collate them before performing the necessary analysis. This process was not only inefficient but also unsuitable for a business that required real-time data analysis.
The Solution
To overcome these challenges, Gebrüder Weiss implemented the Denodo Platform. This platform was used to integrate its various data warehouses, including those branded by SAP (BW), Oracle, Microsoft (SQL), and Postgres. The combined data from these sources is now being provided to a variety of analytics and BI applications including Tableau, Power BI, and SAP Lumira. By using the Denodo Platform, Gebrüder Weiss has been able to accelerate data-model delivery, centralize data governance, and position itself to better meet fast-changing business requirements. This solution has not only streamlined the company's data management processes but also enabled it to leverage its data more effectively for business decision-making.
Operational Impact
Quantitative Benefit
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