Learn how Qlik’s and Databrick’s mutual customer J.B. Hunt, is delivering a solution that automates real-time data pipelines for a reliable cloud data lake and provides multiple user groups an in-the-moment view of data without overwhelming internal operational systems.
J.B. Hunt, one of the leading providers of transportation and logistics services in North America recognizes the criticality of customer responsiveness, service quality and operational efficiency for its success. However, with its data spread across multiple sources, including legacy mainframe systems, the organization was struggling to meet data requirements from multiple departments. They struggled to troubleshoot operational issues and respond to customers quickly.
Learn how J.B. Hunt leverages a modernized data environment to accelerate data delivery and drive various AI and analytics initiatives such as real-time service-pricing, competitive counter-bidding, and improving their customer experience. J.B. Hunt was challenged with data spread across multiple sources, including legacy mainframe systems, and struggled to meet data requirements from multiple departments. They battled to troubleshoot operational issues and respond to customers quickly.
In this on-demand webinar you will learn with Qlik and Databricks how to:
- Ingest data in real time from legacy mainframe systems, enterprise applications and more
- Create reliable cloud data lake to accelerate AI and Analytic Initiatives
- Catalog, prepare and provision data to empower data consumers
- Drive operational efficiency and customer experience with AI-augmented insights
 |
On-Demand |
