How an Enterprise Data Foundation Enabled a Global CPG Company to Unlock the Value of Their Data

Our case study highlights how a global CPG company implemented a scalable enterprise data foundation using Azure, Databricks, and GenAI-assisted tools. This data modernization initiative unified disparate data sources, improved operational efficiency, and enabled actionable, data-driven insights across supply chain, procurement, and financial planning functions. The approach demonstrates best practices in cloud-based analytics, enterprise data governance, and GenAI integration for retail and consumer goods companies seeking a future-ready data platform.

How a Modern Data Platform Enabled an Automotive Aftermarket Leader to Achieve ANZ-Wide Sales Visibility

How GenAI Enabled a Major Retailer to Achieve Data-Driven Supply Chain Transformation

How Agentic AI Enabled a Global Food & Beverage Leader to Enhance Warehouse Operations

Delivering on Mead Johnson’s Promise of Science-based Pediatric Nutrition Through SAP Data Modernization & AI

Explore how Mead Johnson modernized ERP analytics by moving 140+ SAP tables to Databricks using ADF, Unity Catalog, and real-time ingestion from S/4HANA.

Migrating and Modernizing Victoria’s Secret & Co. Analytics and Reporting Workloads from On-prem to Azure and Snowflake Stack

The evolving landscape of data analytics necessitates that organizations adopt more flexible, scalable, and cost-effective solutions. Traditional on-premises systems, while robust and reliable, often face limitations in handling the increasing volume and velocity of data.

Data-driven boost for top real estate firm’s growth

Tiger Analytics designed a modern data management platform for enhanced property sales and asset insights.