





The chemical company struggled with inconsistent and incomplete master data, leading to compliance risks and inefficient processes. Aligned Automation implemented a connected data fabric approach and Power BI dashboard to assess and improve data quality. This solution enhanced governance and decision-making, resulting in a 15% increase in compliance, a 13% improvement in 3-way invoice matching, and a 6% boost in auto-purchase order rates.
This global company is one of the largest in the plastics, chemicals, and refining industries. It is publicly traded and features on the Fortune Global 500 list. The company has a presence in over 100 countries and multiple manufacturing sites across continents.
The organization struggled with inconsistent and incomplete vendor and item master data, creating risk across procurement, operations, and compliance.
Poor data quality and lack of standardization made it difficult to trust reporting, while inefficient extraction and population processes slowed down operations. Without a clear way to assess or benchmark data quality, issues persisted and compounded over time.
Aligned Automation implemented a connected data fabric approach to identify, assess, and improve data quality across the enterprise.
The solution established a structured pipeline to extract, profile, cleanse, and enrich data, creating a reliable and standardized master data foundation. A centralized dashboard provided real-time visibility into data quality metrics, enabling continuous monitoring and improvement.
Built on Microsoft Power BI and cloud-based data workflows, the solution ensured scalable data governance and operational efficiency.
Key capabilities included:
Data management evolved from fragmented and unreliable to standardized and governed.
Teams can now trust their master data, reduce compliance risk, and operate with greater confidence, enabling more accurate reporting and better decision-making across the organization.

