Implementation of a Cloud-Based Data Warehouse and Analytics Layer for Manufacturing Operations

The client manages extensive offline data sources originating from multiple factories and operational units, primarily stored in Excel files, leading to disconnected data silos. This fragmentation impedes comprehensive visibility into key performance metrics, reducing the efficiency of management and operational control teams. The lack of a unified analytic platform limits ability to perform in-depth analysis and timely decision-making based on current operational data.

A large manufacturing corporation with multiple factories and operational centers seeking to consolidate and analyze operational data for strategic decision-making.

• Create a centralized cloud-based data warehouse to serve as a single source of truth for all operational data.
• Automate data cleaning, migration, and transformation processes from on-premise sources and offline files into the cloud data warehouse.
• Implement a comprehensive Business Intelligence layer to facilitate prebuilt and ad hoc reporting for management and control teams.
• Enable users to perform detailed data slicing and dicing to explore specific operational areas, enhancing decision-making efficiency.
• Streamline data accessibility to improve decision speed and analytical accuracy across the organization.

• Data ingestion pipelines for extracting data from multiple on-premise systems and offline Excel files.
• Automated data cleaning, transformation, and migration routines to ensure data consistency and accuracy.
• A unified cloud data warehouse platform, ensuring a single source of truth accessible to all stakeholders.
• A Business Intelligence layer using a visualization and reporting tool to generate standard and customizable reports.
• Predefined dashboards and ad hoc report capabilities for management and operational teams.
• User-friendly data slicing and filtering features to explore specific operational segments.

• Existing on-premise ERP and operational data systems
• Offline Excel data sources
• Visualization and reporting tools for BI implementation

• Data processing pipelines capable of handling large volumes of data within defined timeframes
• High system availability with 99.9% uptime
• Robust security protocols to protect sensitive operational data
• Scalability to incorporate additional data sources and users over time

The project is expected to significantly enhance operational visibility by providing all relevant information in a unified view, enabling faster and more informed decision-making. It aims to facilitate better management of manufacturing performance and supply chain operations, potentially reducing decision-making timeframes and improving operational efficiency, akin to enabling quick data exploration and insight generation similar to the original case's demonstrated outcomes.