Advanced sales analytics in Microsoft Fabric – Manufacturing

Globachem

Globachem is a fast-growing company specializing in crop protection. As the company expanded rapidly, the fragmented nature of its data landscape prevented the full exploitation of its data potential. Over the past five years, Globachem has made significant efforts to optimize its digital transformation, implementing tools such as Power BI, Bright Analytics, Salesforce reporting, and QlikView. However, the need for a more integrated solution became urgent to ensure consistent oversight and accurate sales analytics reporting.

A Future-Proof Data Architecture

To address this challenge, Globachem committed to modernizing its analytics platform and gaining deeper insights into sales analytics. This led to the implementation of an advanced data platform based on Microsoft Fabric, effectively unifying its reporting environment and delivering significant business benefits.

This platform seamlessly integrates data storage and management with advanced analytics capabilities. Crucial to this architecture was the implementation of OneLake, a central data management system that acts as a hub for harmonizing data from various sources, creating a ‘single source of truth’ essential for accurate sales analysis.

Benefits of the new platform

  • Central data repository
  • Democratized analytics
  • Data governance
  • AI readiness

A key component of the strategy was the integration with Microsoft Purview, which provides comprehensive data governance and compliance monitoring. This link allows for clear tracing and management of data lineage, which is crucial for maintaining data quality and security.

The new lakehouse architecture has enabled Globachem to merge its fragmented reporting practices. Central storage and structured processing of data enhance insights into sales analytics and support effective decision-making. The integration of analytics and machine learning within the Fabric platform gives Globachem the flexibility to develop and implement future AI use cases, paving the way for further innovation.

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