How a global FMCG company achieved 98% data workflow automation

What if your team could eliminate manual data tasks, accelerate insights, and build a scalable, future-proof data foundation? This was the challenge facing the European division of a global FMCG enterprise. Struggling with daily operational challenges, they partnered with our team. Together, in 3 months, we modernized their data infrastructure.

Key Outcomes:

• 98% less manual data work with over 30 automated ELT pipelines
• Dashboard load time dropped from 15 minutes to under 1 minute
• 80% faster access to insights across business functions
• Secure, role-based architecture deployed on Snowflake and AWS

‍What used to take us hours of manual cleanup across dozens of Excel files is now a seamless process. The Snowstack team didn't just give us technology - they gave us our time back. We now build better reports much faster, and can finally think about predictive analytics as a reality, not just a wish. They felt like part of our team from day one. 

                  — Head of Sales Intelligence


Client overview

Our client is a European division of one of the world's leading Fast-Moving Consumer Goods companies, operating in over 180 countries. With a local team of approximately 100 people, they oversee sales performance, financial planning, and analytics across a broad portfolio of consumer products and retail partnerships.

The challenge

Before working with Snowstack, the European team relied entirely on Microsoft Excel for managing critical business data. As data volumes grew, spreadsheets became unstable, requiring manual workarounds, such as splitting files and reprocessing data daily.

Analysts were losing up to 20 hours each week on repetitive data preparation tasks, delaying insights and exposing the organization to risks around accuracy, security, and compliance. Without automation or scalable architecture, the team couldn’t support advanced analytics or any progress toward AI readiness.

Our solution

We didn't just migrate their data. We built a modern, scalable data platform from the ground up

Phase 1: Strategic discovery and planning

• Conducted in-depth workshops with Sales Intelligence, Market Intelligence, and Financial Planning teams.
• Mapped 15+ fragmented data domains.
• Designed a governance framework that would meet both local needs and global compliance standards.

Phase 2: Snowflake architecture implementation

• Multi-warehouse setup on AWS with role-based access control segmented by department.
• Three-layer architecture (Staging → Integration → Presentation) optimized for efficient ELT pipelines and clean data handoffs.
• Enterprise-grade security built into the foundation, with RBAC aligned to multinational compliance standards including PII and GDPR.

Phase 3: Automated pipeline development

• 30+ orchestrated data pipelines fully replaced manual processing and human error.
• Migration of 10+ years of historical data spanning over 50 million rows across sales, marketing, and finance teams.
• Real-time integration development through automated delta ingestion from external APIs and MongoDB sources.
• Built-in data quality checks using pandas-based data validation.

Phase 4: Business intelligence transformation

• Rebuilt Power BI dashboards with direct Snowflake connections for faster, more reliable reporting.
• Trained more than 20 analysts and executives to use SQL in Snowflake Workbooks, boosting team capability.
• Introduced self-service analytics, so that business users could find answers without relying on IT teams.

The results

Migrating to Snowflake resulted in clear improvements across data workflows, reporting speed, and team productivity. Below, you can see the key performance metrics before and after the implementation.

Proven insights to keep you ahead

Still relying on manual reporting processes?

Without a scalable system, teams spend more time fixing data than using it. In the market where data volume is high but data literacy is uneven, this project shows what becomes possible when the right infrastructure is paired with the right strategic thinking.

Our experts didn’t just deliver new tools. We partnered with the client to redesign how their teams think, collaborate, and make decisions. Our team helps organizations move beyond outdated processes with a governed, AI-ready data infrastructure that scales with business demand.

Are you ready to grow? Talk to our experts.

Project details:

• Industry: Fast-Moving Consumer Goods (FMCG)
• Duration: 3 months (implementation)
• Engagement Model: Full buildout with training & support
• Team Composition: 1 Lead Data Engineer, collaborating with 3 business units
• Frequently Used Snowflake Components: Warehouses (XS–M), RBAC, Schema Design, Query History, Worksheets
• Other Tools Integrated: AWS, Python, ETL, Bash, Jupyter Notebooks, Power BI, MongoDB, REST APIs, WinSCP, Facebook Prophet

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