Consolidate geographically dispersed data and diverse data formats into a unified standardized data model to enhance data quality
The Results
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The Execution
The customer is a leading biotechnology company that seeks to invent, develop, and commercialize life-transforming medicines for people with serious diseases. Data is key to the organization as it helps business intelligence, analytics teams, and researchers conduct accurate analyses, derive meaningful insights and drive decision making processes.
The customer faced several challenges with their existing data. Firstly, the data resided in siloes spread across different geographies. This made it challenging for business users to find the relevant data for their use cases. Secondly, there were various formats and complexity of data available. Finally, there were no data access governance in place exposing all research data for consumption.
ADA built an end-to-end data pipeline to consolidate the disparate data sources and data formats into a single standardized data model. The data pipeline was augmented with data quality checks and tests to enforce rigorous data quality standards. Finally, we deployed a data governance tool to enable fine grained access controls across the business units.
