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Azure Data Warehouse and Power BI Implementation for Manufacturing Performance Management

itmagination.com

Manufacturing

Data Silos and Lack of Real-time Visibility

ALPLA currently faces challenges with disparate data sources, primarily residing in offline Excel files across its various factories and operational centers. This lack of a centralized data repository hinders comprehensive performance analysis, making it difficult for management and controlling teams to gain a unified, real-time view of the company's sales and factory performance. The reliance on manual Excel-based reporting is inefficient and limits the ability to quickly identify areas requiring attention.

About the Client

ALPLA is a global leader in plastic packaging solutions, providing high-quality packaging for various industries.

Project Objectives

Establish a centralized data warehouse on Azure to consolidate data from disparate sources.
Implement Power BI to create interactive dashboards and reports for performance monitoring.
Enable self-service analytics for management and controlling teams to analyze data and identify trends.
Improve decision-making by providing timely and accurate data insights.
Increase operational efficiency through enhanced visibility into sales and factory performance.

Functional Requirements

Data ingestion from various sources (on-premise and cloud).
Data cleansing, transformation, and loading (ETL) processes.
Data modeling for analytical purposes.
Interactive dashboards and reports for sales and factory performance.
Ad-hoc querying and data exploration capabilities.
Role-based access control for data security.

Preferred Technologies

Azure Data Warehouse

Power BI

Cloud Data Integration Tools (e.g., Azure Data Factory)

Integrations Required

Various on-premise systems (e.g., ERP, CRM).
Excel files (initial data source).
Potentially other cloud-based data sources (future expansion).

Key Non-Functional Requirements

Scalability to accommodate growing data volumes.
High availability and reliability.
Data security and compliance.
Performance for timely report generation.
User-friendly interface for Power BI.

Expected Business Impact

The implementation of this project will empower ALPLA's management and controlling teams with a single, unified view of their business performance. This will lead to faster and more informed decision-making, improved operational efficiency, and ultimately contribute to increased profitability. The ability to slice and dice data will enable deeper insights into areas needing improvement and drive proactive problem-solving.