Streamlining Data Integration for Efficient Delivery: A Case Study on Estes Express Lines
Technology Category
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Apparel
- Transportation
Use Cases
- Real-Time Location System (RTLS)
- Time Sensitive Networking
About The Customer
Estes Express Lines is a prominent transportation company that delivers countless shipments across the United States, Canada, Mexico, Puerto Rico, and the Caribbean. The company is heavily reliant on reliable, timely data to ensure on-time delivery of shipments every day. To streamline the integration between its core systems and improve operational efficiency, Estes leveraged the Denodo Platform to establish a logical data fabric. This enabled the company to seamlessly integrate data across disparate sources in real time, providing Estes leaders with real-time visibility of shipments to optimize customer experiences.
The Challenge
Estes Express Lines, a major transportation company operating across the United States, Canada, Mexico, Puerto Rico, and the Caribbean, was facing significant challenges due to the storage of data across numerous data silos. This led to a number of issues including the need for IT to physically move data before it could be put into production, spending time, money, and resources on redundant hardware and code, and handling data security separately by different teams. Furthermore, business users were dependent on IT to furnish their data requests, which negatively impacted the company's agility and efficiency.
The Solution
To overcome these challenges, Estes Express Lines leveraged the Denodo Platform to establish a logical data fabric. This platform, powered by data virtualization, created a single data-access layer above all of the company’s disparate sources. This not only integrated data across the company’s disparate sources in real time, but also provided timely, self-service access to all data. As a result, Estes was able to streamline operations, improve data security, and enhance the efficiency of its IT and business operations. Additionally, the company was able to deliver APIs in a matter of days, a process that previously took 4-6 weeks.
Operational Impact
Quantitative Benefit
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