Case Study

We developed and launched an ETL process to unify data and automate reporting.

Our client needed to enhance their chromatography data system. Their goal was to create a unified, secure database for storing and managing data.

Client:
A Fortune 100 biopharmaceutical leader.
Services:
Technologies used:
SQL
Amazon S3
R
Oracle Database
astellas
Genmab
merck
johnson and johnson
World Health Organisation
Kenvue
Phuse
Phuse
Phuse
Phuse
Phuse
astellas
Genmab
merck
johnson and johnson
World Health Organisation
Kenvue
Phuse
Phuse
Phuse
Phuse
Phuse

Table of contents

Before:
The client’s chromatography data system lacked a unified, secure database, making data management inefficient and hindering automated reporting.
After:
A production-grade ETL process was deployed in three months, integrating R workflows with a secure database, enabling streamlined data management and automated reporting.

Business Problem

Our client needed to enhance their chromatography data system. Their goal was to create a unified, secure database for storing and managing data, making it simpler to conduct impactful experiments and accumulate valuable knowledge over time. The project focused on integrating this database with an R workflow, enabling the generation of automated reports swiftly.

Solution

We crafted a tailored ETL process leveraging R, SQL, Jenkins, Amazon S3, and Oracle Database, significantly improving the client's data management capabilities.

Impact

Successfully launched a production-grade ETL process within just 3 months, demonstrating rapid delivery and substantial value to our client.

"Good workflow & efficient programming guideline! Praise for the team spirit, open communication, and adaptation to last-minute changes."
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