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.

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.