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A leading global pharmaceutical manufacturer relies on robust systems to manage quality, compliance, and operational data. Facing challenges in integrating with their MasterControl QMS, they partnered with Data Science Dojo to design a low-code automation solution using Microsoft Power Platform tools. This approach transformed time-consuming manual reporting processes into an efficient, scalable, and compliant pipeline.
Low-code automation enables pharmaceutical companies to rapidly digitize workflows such as regulatory submissions and quality control, reducing manual effort and accelerating time-to-market. In this highly regulated environment, the client used MasterControl to oversee training, product lifecycle, and documentation workflows. While the system generated accurate operational data, it lacked direct API or database connectivity for analytics tools like Power BI. This led to inefficiencies: teams manually downloaded Excel reports from emails, imported them into Power BI, and updated dashboards—a process taking hours weekly and prone to errors. Additionally, third-party integration options carried high annual costs of $30,000–$40,000. The client needed a low-code automation strategy that could streamline reporting, eliminate manual steps, and maintain full compliance and governance standards.
When the client faced connectivity barriers that prevented direct integration with MasterControl, Data Science Dojo stepped in to design a smarter path forward. Instead of forcing a complex connection, the team built a seamless, low-code automation flow using Microsoft Power Automate, SharePoint, and Power BI—a solution that bypassed the limitations entirely. The goal was simple yet powerful: transform emailed reports into live dashboards without human intervention.
The architecture revolved around one clever idea—using email as the bridge. Every time MasterControl generated a new report, it was automatically sent via email. Power Automate would then catch it, process it, and set the data in motion.
The Power Automate flow monitored a designated inbox for incoming MasterControl reports. As soon as a new email arrived, it extracted the Excel attachment and saved it to SharePoint, organizing the files in timestamped folders for version control and traceability. Each report was stored in a clear, consistent structure (for example, /MasterControlReports/YYYY/Qtr), making it easy to locate any version at any time.
Next, Power BI stepped in. Using the Excel Online (Business) connector, it dynamically pulled the latest files directly from SharePoint. Within Power Query, the data was cleaned, merged, and shaped into meaningful insights that fed into the MasterControl Product Lifecycle Tracker Dashboard. The Power BI service refreshed the data automatically on a schedule—no manual uploads, no delays.
This created a low-code automation pipeline that seamlessly integrated key performance indicators for training compliance, document status, and lifecycle metrics—without any custom coding or expensive add-ons.
The implementation came together through a series of simple, elegant steps powered by low-code automation. First, Power Automate detected incoming emails from MasterControl. It then extracted and saved the attached Excel reports into SharePoint. SharePoint’s folder structure maintained a logical and auditable record of every report version. Power BI, connected to these folders, refreshed its datasets on schedule—automatically updating dashboards with the latest metrics.
Within days, the process that once required multiple manual steps became fully automated, scalable, and easily adaptable to other email-based reporting systems. What once arrived as a static report in someone’s inbox was now transformed into living, breathing analytics—delivered in real time, updated effortlessly, and always ready to inform the next decision.
The automated pipeline revolutionized the client’s data workflows, delivering significant efficiency and reliability improvements. Dashboard updates now occur in minutes, enabling proactive decision-making in compliance and operations. By centralizing data in SharePoint, the solution enhanced governance with full traceability, reducing human error and supporting audits. Overall, it saved up to $40,000 annually, boosted operational readiness by over 90%, and created a framework extendable to additional systems—empowering the organization with intelligent, scalable business intelligence.
Ready to automate your organization’s processes? Let our experts at Data Science Dojo tailor an AI solution for your business. Book a call or explore more case studies.
