Toptal delivers analytics transformation for beverage brand using Azure and Databricks.
Following a corporate spinoff, a global beverage company turned to Toptal to rapidly build data engineering and analytics capabilities critical to operating as an independent business.
Client
A global beverage company producing drinks and juices for retail and foodservice markets.
Employees
Revenue
Industry
Consumer Packaged GoodsDelivered Services
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Schedule a CallChallenge
The company faced the challenge of managing vast volumes of data without the tools to access or leverage it effectively, which hindered internal alignment and limited strategic visibility across departments.
Solution
Modern Data Foundation
To address the lack of access to usable data, Toptal implemented a scalable cloud architecture using Databricks and Microsoft Azure, consolidating scattered internal and third-party datasets into a single, reliable source of truth.
Customized Reporting Tools
To support business-critical decision-making, Toptal developed tailored analytics tools in Python, Power BI, and Node.js that translated raw data into intuitive dashboards aligned with each team’s KPIs and operational goals.
Outcome
Deeper Business Visibility
The new infrastructure allowed stakeholders to analyze underlying business drivers, improving performance diagnostics and insight-based decision-making.
Unified Data Culture
By centralizing analytics into a single team, Toptal helped unify how departments viewed and interpreted data, fostering consistency and enterprise-wide collaboration.
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