Technology Category
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Transportation
Applicable Functions
- Logistics & Transportation
- Warehouse & Inventory Management
Use Cases
- Picking, Sorting & Positioning
- Real-Time Location System (RTLS)
Services
- System Integration
About The Customer
J.B. Hunt is a Fortune 500 company and one of the largest transportation logistics companies in North America. The company's technology solution, J.B. Hunt 360°®, is a leading digital freight matching platform, revolutionizing the way carriers and shippers collaborate and conduct business. As part of their digital transformation journey, they implemented a Microsoft Azure Databricks data lake to modernize their data warehouse, aiming to increase efficiencies and data access across the organization.
The Challenge
J.B. Hunt, a Fortune 500 company and one of the largest transportation logistics companies in North America, was in the midst of a company-wide digital transformation journey. A key part of this journey was the implementation of a Microsoft Azure Databricks data lake to modernize the data warehouse for increased efficiencies and data access across the organization. However, as the engineering and technology team started its rollout, they noticed increasing pressure on the operational data stores that served as the backbone for J.B. Hunt 360, their cutting-edge digital freight matching platform. After evaluating the data pipelines, the team pinpointed the need to accelerate the flow of data into the lake to ensure that J.B. Hunt 360 users maintained a quality experience with no performance lag.
The Solution
To address the challenge, J.B. Hunt turned to Qlik Data Integration as the change data capture software solution to deliver timely data from a variety of sources, including legacy mainframe systems and SQL servers. Using Qlik, the J.B. Hunt team could preview the data ingestion process and proactively target any issues, ensuring that J.B. Hunt 360 users could leverage the data needed to make critical business decisions. For instance, using the data enabled by Qlik, the company is developing a process within J.B. Hunt 360 that will automate competitive counteroffers to carriers on available freight. The real-time data also helps generate dynamic pricing for shipments based on carrier availability and current market conditions.
Operational Impact
Quantitative Benefit
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