Nestlé needed deeper insights into consumer behavior to enhance product strategy. Using advanced data analytics, we developed a custom solution that improved their marketing efforts and boosted sales across key markets.

Nestlé, a global leader in food and beverage, was investing heavily in acquiring market data across more than 50 markets.

They needed to internalize, harmonize, and update this data across all vendors to use it for reporting and proprietary pricing models.

Their objective was to standardize the data into a single model, accessible across markets for consistent analysis and insight generation.

We developed a dedicated Azure cloud analytics infrastructure to support the automation of market data processes. The system included a dynamic financial and sales reporting layer that provided real-time insights and data updates across Nestlé's global operations.​

• Automated data cleansing for over 10TB of data.​
• Created a single source of truth for Nestlé's incentive and objective-setting processes.​
• 500+ collaborators across 50 global markets used the system for performance reporting.​
• The solution led to a $1M+ savings in subscription costs with external data providers.​

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• ETL: Azure Data Factory, Databricks, Python​
• Data Warehousing: Snowflake​
• Front-end Visualization: Power BI

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