Qlik Case Studies J.B. Hunt's Real-Time Data Delivery Transformation with Qlik

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	J.B. Hunt's Real-Time Data Delivery Transformation with Qlik Qlik

J.B. Hunt's Real-Time Data Delivery Transformation with Qlik

Qlik

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

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

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.

About 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.

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.

Impact #1	The implementation of Qlik Data Integration has had a significant positive impact on J.B. Hunt's operations. The ability to deliver timely data from a variety of sources has improved the user experience on the J.B. Hunt 360 platform, with no performance lag. The team can now proactively target any issues in the data ingestion process, ensuring seamless data access for critical business decisions. The real-time data has also enabled the development of new processes, such as automating competitive counteroffers to carriers on available freight and generating dynamic pricing for shipments. The successful collaboration with Qlik on the initial rollout of Qlik Replicate is now being extended to other products like Qlik Catalog and Qlik Compose for Data Warehouse.

Impact #1

The implementation of Qlik Data Integration has had a significant positive impact on J.B. Hunt's operations. The ability to deliver timely data from a variety of sources has improved the user experience on the J.B. Hunt 360 platform, with no performance lag. The team can now proactively target any issues in the data ingestion process, ensuring seamless data access for critical business decisions. The real-time data has also enabled the development of new processes, such as automating competitive counteroffers to carriers on available freight and generating dynamic pricing for shipments. The successful collaboration with Qlik on the initial rollout of Qlik Replicate is now being extended to other products like Qlik Catalog and Qlik Compose for Data Warehouse.

Benefit #1	Greater real-time data availability for users of the initial applications
Benefit #2	Latency reduced to just minutes
Benefit #3	Achievement of internal central KPI success benchmark for data delivery from the data lake

Benefit #1

Greater real-time data availability for users of the initial applications

Benefit #2

Latency reduced to just minutes

Benefit #3

Achievement of internal central KPI success benchmark for data delivery from the data lake

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Overview

J.B. Hunt's Real-Time Data Delivery Transformation with Qlik

Operational Impact

Quantitative Benefit