Strategic Data Solutions for Pharmaceutical Leaders

Services Rendered: Data Analytics and BI ● AI Business Solutions

Client Overview A leading Netherlands-based pharmaceutical wholesaler, distributor, and operator of 800 pharmacies serving 11 million patients recognized the need to become a data-driven organization but lacked the expertise to make it happen.

The Problem

Our client was sitting on a goldmine of data but struggled to unlock its value.

Key challenges included:

• Diverse data sets: prescriptions, insurance claims, sales (both pharmacy and OTC), pricing, and patient medication switches.
• Lack of in-house expertise to analyze data for better decision-making.
• Absence of a structured approach to building and managing a data team.
• No clear strategy for transforming raw data into actionable insights.
• Inefficient, manual data analysis processes.
• Need for a comprehensive pharmaceutical data solutions strategy to drive business growth.

The Solution

Leveraging Cloud and BI Technologies for an Advanced Data Solution

• Establishment of a robust pharmaceutical data solutions infrastructure and governance model.
• Automated BI engines and reporting systems capable of handling complex, multi-source data.
• Custom web application for streamlined pharmacy logistics and financial operations.
• Secure cloud migration to Azure for scalable data processing.
• Advanced data analysis using machine learning for forecasting in pharma to provide deeper insights and predictive analytics.
• Development of a data insights platform for subscription-based access by large pharma companies.

Our Approach Tecknoworks became the client’s strategic partner, effectively becoming their outsourced Data Analytics and BI department. We provided technical solutions and the expertise and structure needed to become truly data-driven. Our approach included:

• Adaptive Workforce: We implemented a dynamic staffing model, scaling our team up or down based on project demands and the client’s evolving data needs. This flexibility ensured consistent progress without the overhead of building an in-house team from scratch.
• Skill Diversification: As the project evolved from basic data analysis to advanced analytics, including using machine learning for forecasting in pharma, we adjusted our team’s skill set, bringing in specialists in BI, cloud migration, machine learning, and custom application development as needed.
• Knowledge Transfer: We worked closely with the client’s team, gradually building their data literacy and analytics capabilities.
• Long-term Partnership: Our managed capacity model allowed for a sustained engagement, adapting solutions and team structure over nearly a decade to align with the client’s growing understanding of data’s potential.
• Agile Implementation: We maintained transparent, effective communication throughout the project, addressing concerns and ensuring smooth implementation of increasingly complex pharmaceutical data solutions.

Technology Stack: Azure Cloud Services, Azure DevOps, Arm, Bicep, Terraform, .NET Core, React, T-SQL, PowerShell / Bash scripts.

The Results

New revenue stream. Competitive advantage and enhanced decision making.

• Data-Driven Transformation: Successfully transformed the client from a data-rich but insight-poor organization to a data-driven industry leader.
• New Revenue Stream: Generated €2-3 million annually through data insights subscriptions sold to large pharma companies.
• Enhanced Decision Making: Enabled confident, strategic decision-making based on organized, accessible data across all business operations.
• Operational Efficiency: Streamlined internal processes, eliminating redundancies in managing diverse data sets.
• Competitive Advantage: Leveraged pharmaceutical data solutions and machine learning for forecasting in pharma to optimize pricing, inventory management, and patient services.
• Long-term Value: Maintained a productive partnership for nearly a decade, continuously evolving our services to meet changing needs and growing data sophistication.

The Tecknoworks Advantage Our managed capacity model proved instrumental in this long-term engagement. By providing not just technical solutions, but a flexible, skilled workforce that could adapt to the client’s evolving data maturity, we enabled a comprehensive digital transformation. This approach allowed the client to focus on their core business while we handled the complexities of becoming a data-driven organization.

We guided the client from data overload to data mastery, helping them not only improve their operational efficiency but also uncover significant new revenue streams. By packaging their newly gleaned insights for large pharma companies, we helped our client transform their data into a valuable market intelligence product.

This case study exemplifies how Tecknoworks’ managed capacity model can provide sustained, adaptable support for complex, long-term projects. We don’t just provide technical solutions; we partner with our clients to drive fundamental business transformations, turning data challenges into opportunities for innovation, operational excellence, and new revenue streams through tailored pharmaceutical data solutions and cutting-edge technologies like machine learning for forecasting in pharma.