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Data-driven innovation for commercial data stakeholders ensuring faster accessibility & interoperability of their US & EU data
The Challenge
The commercial data team faced significant data management challenges due to connectivity issues, slow job processing times, and data silos that limited real-time analytics and delayed critical business decisions. Integration difficulties across the organization hindered democratization of data for stakeholders, while existing architectures were not optimized for advanced analytics. Additionally, the lack of a managed services delivery model, along with increased costs from redundant pipelines and fragmented data, exacerbated the problem, affecting overall efficiency and data availability for product movement and sales progression.
Our Solution
Agilisium deployed a Cloud One strategy to build a globally accessible and scalable Big Data Analytics platform. The key elements of the solution included:
Cloud One Strategy Implementation
Globally accessible and scalable Big Data Analytics platform, improving connectivity and data availability.
Optimized Data Integration
Enhanced data processing with Databricks & Redshift that enables faster onboarding of diverse data sources.
Unified Data Lake Configuration Framework
Common configuration framework, which streamlines data onboarding and integration across the organization.
Enhanced Job Scheduling & Data Quality
Advanced data quality management and automated validation to reduce operational costs and improve performance.
The Outcomes
This solution enabled the client to transition seamlessly from a fragmented data architecture to a highly scalable, unified commercial data lake, driving significant cost efficiency, operational effectiveness, and real-time insights.
30% Cost Reduction in Drug Commercialization
Streamlining data processing and operations led to significant savings.
75% Improved Data Processing Time
Enhanced architecture delivered faster decision-making capabilities.
4X Improvement in Visualization Load Times
Users experienced quicker access to critical insights.
$1.5M Cost Saved by Data Management Tools
By optimizing data pipelines and management, substantial operational costs were reduced.
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