Scalable Data Warehouse and Business Intelligence Platform for FMCG Manufacturing

The client faces difficulty in rapidly aggregating and processing data from multiple sources, leading to slow insights generation—taking up to a week—which hampers timely decision-making. Additionally, data availability and transparency are limited, affecting analytical depth and organizational agility. The existing environment lacks a unified data model necessary for scalable analytics and self-service reporting across various business units.

A large manufacturing company specializing in FMCG products, with extensive data sources across sales, planning, and operations, seeking to enhance decision-making capabilities through improved data processing and analytics.

• Reduce data to insight time from one week to under one day for all key stakeholders.
• Implement a scalable, cloud-hosted data warehouse integrating at least 26 diverse data sources into a unified data model.
• Enable rapid development and deployment of complex reports (aiming for creation within hours) to support sales, planning, monitoring, and development functions.
• Increase data accessibility and transparency across business units through user-friendly self-service dashboards.
• Establish a robust, manageable data architecture that supports ad hoc analysis and scalable growth.

• Data ingestion pipelines capable of integrating 26+ data sources in various formats (Excel, CSV, databases).
• A standardized, scalable data model designed for flexibility and future expansion.
• Cloud-based data warehouse architecture ensuring scalability and high availability.
• Ad hoc analysis capabilities allowing users to perform rapid, customized data exploration.
• Automated report generation tools capable of delivering comprehensive dashboards within hours.
• Self-service business intelligence interface with accessible, interactive reports for non-technical users.

• Data sources including Excel files, CSVs, and relational databases.
• Existing ERP or operational systems relevant to sales and manufacturing data.
• Analytics and reporting tools for seamless report deployment.

• System should enable insight delivery within 24 hours for all users.
• Support at least 100 concurrent users with responsive load times.
• Ensure data security and compliance with relevant standards.
• Allow for easy expansion to incorporate new data sources without significant re-engineering.

This project aims to significantly improve data processing efficiency, reducing time-to-insight from one week to under one day, empowering over 100 users with rapid access to comprehensive analytics. The standardized, cloud-based data platform is expected to enhance decision-making processes related to sales, planning, and operational monitoring, thereby supporting organizational agility and growth. The implementation will enable the creation of complex, actionable reports and dashboards, facilitating deep business insights and fostering a data-driven culture across the manufacturing enterprise.