Denodo Technologies Case Studies Gebrüder Weiss: Leveraging Logical Data Fabric for Enhanced Supply-Chain Solutions

Edit This Case Study Record

	Gebrüder Weiss: Leveraging Logical Data Fabric for Enhanced Supply-Chain Solutions Denodo Technologies

Gebrüder Weiss: Leveraging Logical Data Fabric for Enhanced Supply-Chain Solutions

Denodo Technologies

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

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.

Impact #1	The implementation of the Denodo Platform has brought about significant operational improvements for Gebrüder Weiss. The company has been able to streamline its data management processes, reducing the time and effort required for data collection and analysis. The platform has also enabled the company to integrate data from various sources, providing a more comprehensive and contextual view of its operations. This has improved the company's ability to make informed business decisions and respond to fast-changing business requirements. Furthermore, the improved data governance has enhanced the quality and reliability of the company's data, making it a more valuable asset for the company.

Impact #1

The implementation of the Denodo Platform has brought about significant operational improvements for Gebrüder Weiss. The company has been able to streamline its data management processes, reducing the time and effort required for data collection and analysis. The platform has also enabled the company to integrate data from various sources, providing a more comprehensive and contextual view of its operations. This has improved the company's ability to make informed business decisions and respond to fast-changing business requirements. Furthermore, the improved data governance has enhanced the quality and reliability of the company's data, making it a more valuable asset for the company.

Benefit #1	Accelerated the delivery of data models, improving the speed of business decision-making.
Benefit #2	Enabled self-service for easing data consumption, reducing the time and effort required for data collection and analysis.
Benefit #3	Improved data governance, enhancing the quality and reliability of the company's data.

Benefit #1

Accelerated the delivery of data models, improving the speed of business decision-making.

Benefit #2

Enabled self-service for easing data consumption, reducing the time and effort required for data collection and analysis.

Benefit #3

Improved data governance, enhancing the quality and reliability of the company's data.

Download PDF Version

Overview

Gebrüder Weiss: Leveraging Logical Data Fabric for Enhanced Supply-Chain Solutions

Operational Impact

Quantitative Benefit