Iconic International Brewer Enhances Supply Chain Efficiency with Databricks

What we did

Replaced outdated systems with Databricks, integrating real-time data analytics and AI capabilities to unify the company’s supply chain operations.

With enhanced automation, data governance, and AI-powered insights, teams can now make faster, data-driven decisions, improving efficiency and reducing operational costs.

The Problem

This world-wide brewing company aimed to unify their supply chain analytics and modernize their data infrastructure to align teams and streamline operations.

However, fragmented systems and outdated technology prevented them from achieving a cohesive view of their supply chain, limiting their ability to make informed, strategic decisions.

The Solution & Results

Analytics8 utilized Databricks to unify and modernize the company’s supply chain analytics, leading to significant improvements across their operations:

• Replaced legacy systems (Teradata, SQL Server, SAS, and Qlik) with Databricks, reducing development costs and technical debt, while improving the scalability and performance of their data infrastructure.

• Simplified modern data stack by eliminating Snowflake from the supply chain analytics data flows to Power BI and their Generative AI solution “CheersGPT”.

• Leveraged Unity Catalog to unify fragmented supply chain analytics across teams, improving data governance, reducing errors, and ensuring consistent, accurate reporting for better decision-making.

• Developed tailored data structures through dimensional modeling in Databricks, which aligned with the company’s specific business needs in supply chain analysis. This enhanced the accuracy of their analytics, enabling them to drill down into key metrics, such as on-time delivery, to identify root causes like carrier performance and equipment availability.

• Implemented a CI/CD pipeline for automatic deployment within Databricks, enhancing operational efficiency by reducing manual interventions and ensuring consistent, reliable updates across environments.

This customer success story was originally published at Analytics8.com