Problem Statement
Our client is a leading consumer wellness and FMCG enterprise with six manufacturing plants, 22+ distribution centers, and a wide retail footprint. As data grew across Sales, Marketing, Supply Chain, and HR systems, visibility became fragmented. Manual reporting, inconsistent masters, and siloed systems made it difficult to access real-time insights or make timely decisions across the enterprise.
Key Challenges
- Fragmented sales and supply chain reporting across Excel files and multiple source systems.
- Heavy manual dependency — daily sales reports compiled by individuals at 6 a.m.
- Inconsistent master data causing inaccurate KPIs and conflicting dashboards
- Delayed refresh cycles slowing business reviews and decision-making
- HR insights available only after events (e.g., post-exit attrition visibility)
- Weak governance leading to pipeline failures and limited cross-functional alignment
Solution Framework
Polestar Analytics built a unified enterprise intelligence layer using an Azure-based modern data stack. Key interventions included:
- Centralized Data Platform: Azure Data Factory ? Databricks ? Power BI unified all sales, marketing, supply chain, and HR data.
- Automated Reporting: Replaced manual daily reports with automated paginated reports and logic apps.
- Automated Reporting: Replaced manual daily reports with automated paginated reports and logic apps.
- Master Data Harmonization: Unified distributor, SKU, vendor, and location masters across warehouses and systems.
Function-Specific Dashboards:
- Sales & Marketing: Real-time visibility into primary, secondary, and tertiary sales + media ROI insights.
- Supply Chain: Automated visibility into procurement, production, logistics, inventory freshness, and fulfillment rates.
- HR: Talent, performance, and attrition dashboards enabling predictive and real-time insights.
- Governance & Managed Services: Streamlined processes, SLAs, and a single-app interface for BI assets.
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