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.
Our team of experts leveraged a connected data fabric approach to identify potential business anomalies that needed to be captured in data quality. A data quality dashboard in Power BI provided a holistic view of all data and insights, focusing on:
Discover and extract: identify data sources, extract data, and populate it to a staging area in azure.
Quality assessment: leverage existing data models, identify key attributes and dependencies, and perform data profiling and quality benchmarking.
Cleanse and enrich: identify quality issues, establish business rules, perform data cleansing and enrichment, and review output through a data quality scorecard.
Repopulate the data: merge enriched data from the staging area back into the source while managing dependencies.
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.
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