How a global tobacco enterprise achieved 50% efficiency gains with Microsoft Fabric and AI-driven analytics

In highly regulated industries, fragmented data and manual reporting can slow decision-making, increase compliance risks, and limit growth opportunities. 

Discover how a global tobacco enterprise partnered with Visionet to modernise its data ecosystem using Microsoft Fabric, Power BI, PySpark, and AI-driven analytics. 

This case study reveals how the organisation successfully migrated from Snowflake, automated complex data pipelines, centralised reporting, and deployed predictive shopper analytics to improve pricing strategies and business agility. 

By downloading this case study, you’ll learn how to: 

• Reduce operational costs by 34% through data platform modernisation  
• Improve reporting speed and decision-making with real-time Power BI dashboards  
• Automate fragmented data ingestion and transformation workflows  
• Build scalable analytics infrastructure for predictive modeling and market expansion  
• Improve shopper segmentation accuracy by 35%  
• Create a governance-first framework for compliance and data quality  

Whether you are driving digital transformation in consumer goods, regulated industries, retail analytics, or enterprise data modernisation, this case study offers valuable insights and proven outcomes. 

Download the case study.