A blueprint for data wrangling companywide.
A large manufacturer of devices used in interventional medicine determined significant value in the data available from various sources.
However, as is often the case in this segment, the data resided in disparate siloes. It flowed from clinical systems and digital platforms, with five data sources – including their own medical devices – contributing to 30GB of daily data ingest.
The company needed to transform its data into actionable insight but did not have the internal expertise to create the complex solution needed.
GlobalLogic took complete responsibility for the solution’s development, from strategy and implementation to quality assurance and deployment.
The solution includes a data lake capable of ingesting multiple data streams and a workbench that enables data scientists and analysts to run machine learning (ML) models on a scalable and secure cloud infrastructure.
GlobalLogic developed systems and guidelines for onboarding new data sets as well as data governance, project cost and usage monitoring, and data security classification provisions compliant with GDPR and HIPAA.
The solution enabled the client’s data research team to build ML models based on comprehensive data sets collected across clinical and digital data sources.
These models help with clinical research (improving therapy outcomes) as well as product design decisions and targeted patient outreach programs, intending to improve the client’s ability to bring diagnostic and therapy capability to the market faster.
In addition, the solution not only allowed the client to extract useful insights from their data for this therapy group but also served as a blueprint for similar data wrangling and governance initiatives across the organization.