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Matillion, Snowflake, Tableau
Southeastern Freight Lines (SEFL) is a privately-owned American LTL trucking company. For more than 70 years SEFL has aimed to meet or exceed the needs of its customers, every time. This has been made possible through a Quality Improvement Process where its more than 8,000 employees are taught the value of a continuous measurable improvement.
SEFL was using antiquated systems and applications for its data and analytics needs and was looking to modernize its entire approach to BI. The trucking company wanted to improve its data-driven decision-making abilities throughout the business to improve how it reported on and analyzed everything from claims to sales to pricing. The goal was to automate manual reporting efforts, scale access to data and analytics across the company, and get better insights into critical business areas including customer service, sales pricing, claims, and more.
SEFL was spending too much time and money manually integrating data from its many source systems and then analyzing it. Some of the key challenges the company faced, included:
The trucking company needed a faster, automated way to integrate all its data, analyze it, and get it into the hands of its business users.
After completing a data and analytics assessment, Analytics8 created a data strategy and roadmap that detailed how to integrate data from SEFL’s multiple data sources into a cloud-based data warehouse to allow for better analytics.
Following the roadmap created during the assessment, Analytics8 built a cloud-based data warehouse using Snowflake that consolidated multiple data sources into a single source of truth. We migrated all tables that existed in the antiquated on-prem database into a three-tier data architecture. Processing was moved to the cloud data warehouse, reducing cost and overhead, and providing faster access to more data than previously possible.
We then created a modern analytics solution using Tableau that allowed SEFL to perform analysis and get immediate insights into sales performance, pricing, and claims reports. This information and infrastructure provide the framework for SEFL to make better decisions to boost sales performance and uncover issues that lead to poor customer service. We also identified several use cases for advanced analytics including predicting employee turnover and predicting safety and maintenance issues.
The new data warehouse and analytics solution provides SEFL faster, better access to its data and democratized analytics throughout the company. Using its new solution SEFL can now:
Armed with its new data warehouse and analytics solution, SEFL has quick and easy access to its data, which will enable its business users to focus on serving customers’ needs and meeting business objectives.
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