The Modern CPG Data Stack: Building End-To-End Analytics on Azure, Snowflake, And Dbt
Abstract
Consumer Packaged Goods (CPG) firms encounter distinct obstacles in handling the extensive data produced from sales, supply chains, customer interactions, and market patterns. To tackle these obstacles, organizations are progressively implementing a contemporary data stack. This document examines how using Microsoft Azure, Snowflake, and DBT technologies can create a comprehensive analytics stack that improves scalability, data transformation, and decision-making processes. The paper outlines the technical framework, best practices, and real-world examples that showcase the implementation of this modern CPG data stack. By utilizing cloud-based solutions, businesses can enhance operational efficiency, automate data processes, and acquire more profound insights. We will investigate performance metrics, security risks, cost-efficiency methods, and forthcoming trends that influence the advancement of CPG analytics.
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References
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