Qlik Case Studies Driving transportation forward: Qlik Data Integration accelerates access to real-time data

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	Driving transportation forward: Qlik Data Integration accelerates access to real-time data Qlik

Driving transportation forward: Qlik Data Integration accelerates access to real-time data

Qlik

Technology Category	Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries	Transportation
Applicable Functions	Logistics & Transportation Sales & Marketing
Use Cases	Supply Chain Visibility Predictive Replenishment
Services	Data Science Services System Integration
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

Technology Category

Platform as a Service (PaaS) - Data Management Platforms

Applicable Industries

Transportation

Applicable Functions

Logistics & Transportation

Sales & Marketing

Use Cases

Supply Chain Visibility

Predictive Replenishment

Services

Data Science Services

System Integration

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.

About 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.

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.

Impact #1	The solution has enabled greater access to real-time data for multiple users.
Impact #2	Application engineers have experienced reduced latency to just minutes.
Impact #3	Data scientists have been able to power machine learning models to auto-generate competitive counterbids on available freight.

Impact #1

The solution has enabled greater access to real-time data for multiple users.

Impact #2

Application engineers have experienced reduced latency to just minutes.

Impact #3

Data scientists have been able to power machine learning models to auto-generate competitive counterbids on available freight.

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Overview

Driving transportation forward: Qlik Data Integration accelerates access to real-time data

Operational Impact