Problem Statement

The client faced challenges in managing data across fragmented systems without a centralized data warehouse. This lack of consolidation made it difficult to create consistent reports and extract actionable insights, negatively impacting clinical trial operations. The absence of a single source of truth delayed decision-making, complicated trial monitoring, and led to data inconsistencies.

Approach & Solution

DataRopes.ai developed a centralized data warehouse solution using Microsoft Azure Data Factory to automate and streamline data processes. We consolidated data from multiple sources into a unified system, enabling better data management and accessibility.

We integrated data from 12 sources into a centralized warehouse, allowing the client to manage 2 TB of clinical trial data efficiently.
We created a custom data model to ensure data accuracy and compliance with regulatory standards, reducing data inconsistencies and improving reporting quality.
Our integration of Power BI dashboards provided real-time access to insights, allowing dynamic reports to be generated in under 10 seconds for faster decision-making.
We automated data validation checks, cutting manual review time by 200 hours annually, freeing up valuable staff resources.

Results & Outcomes

The new system generated over 100 ad-hoc reports in the first 3 months, drastically improving decision-making for clinical trial management. With real-time insights, the client was able to track over 1,500 clinical trial participants across various phases, increasing operational transparency. Additionally, the improved reporting system helped the client complete clinical trials 3 months ahead of schedule, optimizing resource allocation and enhancing project timelines.