BIO-TECH COMPANY

BUSINESS PROBLEM
A leading Bio-Tech Company sought to establish a robust data mart for their clinical trial data, enabling in-depth analysis. Additionally, they aimed to harness Business Intelligence (BI) tools for enhanced result visualization.
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SCALESOLOGY IN ACTION
We integrated clinical trial data from diverse data files into a centralized data mart using a data pipeline built in Microsoft Azure. Comprehensive data quality checks were automated and conducted at key junctures to flag inconsistencies, including mismatches, duplicates, and constraint violations.
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Subsequently, a sophisticated data model was implemented in Microsoft Power BI, interconnecting pivotal fields. Detailed reports were tailored to effectively present the clinical trials data. The initial data model adhered to a fact constellation schema, which was later upgraded to a snowflake schema in alignment with the company's evolving business requirements.
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RESULT
This data automation process, coupled with the implementation of BI tools, significantly reduced the data loading and transformation cycles. Consequently, it markedly enhanced data availability. The Bio-Tech Company can now seamlessly focus on their clinical trial analysis through a unified dashboard, eliminating the need to reference disparate spreadsheets.
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