Pharmaceutical & Healthcare
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Case Study 1: Build a Custom Clinical Trial Platform
Client: Pharmaceutical Company
Challenge:
The client required a platform to manage clinical trials and patient data effectively.
Services Provided:
- Designed and developed a custom clinical trial management platform to streamline data collection, monitoring, and reporting.
- Integrated features for patient recruitment and regulatory compliance tracking.
Outcome:
- Improved trial management efficiency, reducing administrative overhead by 40%.
- Enhanced data accuracy and compliance with regulatory standards.
- Accelerated patient recruitment timelines.
Case Study 2: Build an Azure Data Lake
Client: Healthcare Provider
Challenge:
The provider needed a solution to store and analyze large volumes of healthcare data securely.
Services Provided:
- Built an Azure Data Lake to centralize and store patient data, clinical records, and operational data.
- Implemented data governance policies to ensure data security and compliance.
Outcome:
- Enabled advanced analytics and reporting capabilities on large datasets.
- Improved data accessibility for researchers and healthcare professionals.
- Enhanced data security and compliance with healthcare regulations.
Case Study 3: Migrated Existing Reporting Platforms (Qlik and Business Objects) into Power Platform
Client: Biopharmaceutical Company
Challenge:
The client required a unified reporting solution to replace multiple legacy systems.
Services Provided:
- Migrated existing reporting solutions from Qlik and Business Objects to Microsoft Power Platform.
- Developed interactive Power BI dashboards for real-time data visualization.
Outcome:
- Reduced reporting time by 50% with automated data refreshes.
– Enhanced data visualization capabilities, leading to better insights for decision-making. - Streamlined reporting processes across the organization.
Case Study 4: Integrate Platform with AI & ML
Client:Research Institution
Challenge:
The institution wanted to leverage AI and ML to analyze clinical data and improve research outcomes.
Services Provided:
- Integrated AI and ML tools into existing platforms for predictive analytics and data modeling.
- Developed custom algorithms to analyze patient data for clinical research.
Outcome:
- Improved research accuracy and efficiency through advanced analytics.
- Accelerated discovery timelines for new treatments.
- Enhanced collaboration among research teams through data sharing.
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