Setup and deploy workflow orchestration tool
Company Information
In the fast-paced pharmaceutical industry, timely and informed decisions can significantly impact clinical outcomes and market success. A leading global pharmaceutical client needed to optimize their data workflows to enhance operational efficiency and support critical decision-making processes. ProCogia was tasked with implementing a sophisticated workflow orchestration solution that would automate and streamline data processes, ensuring agility, scalability, and reliability in handling complex data workloads.
The Challenge
The pharmaceutical company faced challenges with managing and processing vast amounts of clinical and operational data efficiently. Their existing systems were unable to support the dynamic nature of pharmaceutical research and development, which requires both stable production environments and flexible development spaces. The client needed a solution that could not only handle the complexity of their data workflows but also provide the scalability to adapt to changing data volumes and analytical demands.
Procogia’s Approach
Multiple Environments
Our Data Engineers setup multiple environments to support the need for a volatile development environment and stable production environment. This was done using a sophisticated CI/CD process which involved running automated tests, approval gates and automated delivery pipelines for pushing code to Amazon Managed Workflows for Apache Airflow (AWS MWAA).
Workflows that run on AWS MWAA
ProCogia leveraged the following:
1. S3 as a scalable storage layer for both structured / unstructured data.
2. Redshift for the warehouse layer to connect BI tools
3.
AWS Secrets Manager for securing database credentials.
System Logs
To enable ease of debugging and promote long-term maintainability, system logs were funnelled into CloudWatch.
The Results
We delivered a stable, highly flexible solution that can also be re-purposed for other workflow applications.
Entire deployment was automated (infrastructure setup, unit testing, building, deployment) making it easily portable.
Users can make key business decisions regarding clinical survey targets within a week of the data becoming available.
The infrastructure is highly scalable, so if the volume/workload increases per threshold, its easy to scale the Airflow as well as Redshift environment with auto-scaling policies.
Services Used
Data Consultancy
We provide Data Consultancy to organizations to optimize your investment in people, processes, and technology.
Data Engineering
ProCogia is partnered with the leading cloud providers, enabling our agnostic approach to focus on delivering tailored game-changing solutions for our clients.
Conclusion
ProCogia’s implementation of a workflow orchestration tool for the leading global pharmaceutical company exemplifies how sophisticated data engineering solutions can revolutionize data management and operational efficiency in the pharmaceutical sector. By automating and optimizing data workflows, ProCogia enabled the client to navigate the complexities of pharmaceutical research and development more effectively, ensuring that critical business decisions could be made swiftly and with confidence. This case study underscores ProCogia’s ability to deliver high-impact data solutions that drive innovation, efficiency, and growth for its clients in the fast-evolving pharmaceutical landscape.
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