Problem Statement
The client is the GCC of a global alcoholic beverage enterprise supporting Supply, Commercial, Finance, and Consumer functions. Polestar Analytics evolved the engagement from a single Anaplan partnership into a multi-function data, planning, and GenAI backbone, supported by 80+ experts across 30+ geographies.
Key Challenges
- Disconnected planning and forecasting across Finance, Commercial Finance, and Supply teams.
- Fragmented data architecture causing metadata inconsistencies and data translation gaps.
- Stronger platform security was needed without slowing global delivery.
- Manual tracking and dashboard dependency limited decision speed.
- External market data needed standardization across products, outlets, categories, and regions.
- DataOps, governance, and AI-readiness had to scale across domains and geographies.
Architecting with the Best Tech Stack
Solution Implemented
- Secure Data Platform: Built a zero-trust Azure architecture with private connectivity across Databricks and core data services.
- Serverless Migration: Moved Supply workloads to Databricks serverless for faster execution and better utilization.
- Metadata Governance: Created a single source of truth with traceability and audit compliance.
- Governed Lakehouse: Implemented Unity Catalog, automated quality checks, and observability to reduce data drift.
- Anaplan Planning: Enabled forecasting, A&P planning, cash visibility, and pricing automation across 30+ countries.
- DataOps & MIA: Standardized DES operations and enabled conversational AI insights through MIA.
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