Driving transportation forward: Qlik Data Integration accelerates access to real-time data
Company Size
1,000+
Region
- America
Country
- Canada
- Mexico
- United States
Product
- Qlik Data Integration
- Microsoft Azure Databricks
- Azure Synapse
Tech Stack
- Data Lake
- SQL Server
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Infrastructure as a Service (IaaS) - Cloud Computing
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Transportation
Applicable Functions
- Logistics & Transportation
- Sales & Marketing
Use Cases
- Predictive Replenishment
- Supply Chain Visibility
Services
- Data Science Services
- System Integration
About The Customer
J.B. Hunt is a leading transportation and logistics company in North America. The company operates extensively throughout the United States, Canada, and Mexico. As a major player in the transportation industry, J.B. Hunt is constantly seeking ways to increase efficiency and improve customer responsiveness. To achieve these goals, the company relies heavily on real-time insights into its operations and assets. These insights are crucial for making informed decisions and staying competitive in the fast-paced transportation industry.
The Challenge
J.B. Hunt, one of the largest transportation and logistics companies in North America, was seeking to increase efficiency and customer responsiveness by gaining real-time insights into its operations and assets. However, the company faced the challenge of not impacting production systems while doing so. They had implemented a Microsoft Azure Databricks data lake but needed to accelerate the flow of analytics-ready data into the lake.
The Solution
To address the challenge, J.B. Hunt leveraged Qlik Data Integration. This solution enabled the company to deliver near real-time data from a variety of sources, including legacy mainframe systems and SQL server, directly into the Delta Lake. Furthermore, it automated data modeling and transformation for Azure Synapse data warehouse. This approach allowed the team to provide analytics-ready data quickly to multiple user groups without the need to deploy a large number of data engineers.
Operational Impact
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