Designing a Data Quality-as-a-Service Strategy for a Global Biotechnology Leader

The Challenge

The client was facing enterprise-wide data quality issues that impacted operations and analytics, but lacked a formal, systematic program to address them. They needed a comprehensive strategy to move from reactive problem-solving to a proactive and structured approach for managing the quality of their critical data assets across the entire organization.

Project:

Data Quality as a Service (DQaaS) Strategy Development
The client engaged a dedicated team to conduct a thorough analysis of its data landscape and create a clear, actionable strategy for a new data quality management program. This strategic engagement focused on:

• Enterprise-Wide Scoping: Conducting a deep-dive analysis of the company's data quality problems to identify key issues and their root causes.

• Strategic Design: Developing the foundational strategy for a "Data Quality as a Service" (DQaaS) program, designed to provide a flexible and scalable solution for managing data quality across the organization.

• Governance Foundation: Leveraging proven methodologies to establish the core components of enterprise data governance, including the refinement and development of policies, standards, and processes.

• Creating a Blueprint: Delivering a comprehensive set of work products, including templates and frameworks, that would serve as the foundational blueprint for the successful implementation of the DQaaS strategy.
  

Results & Benefits:

The project was a complete success, achieving all its strategic goals. It provided the client with a clear, comprehensive, and actionable strategy for a modern data quality management program. The innovative DQaaS model and the established governance foundation have empowered the organization with a clear path forward to systematically improve data quality, enhance trust in data, and support superior, data-driven outcomes in their mission to deliver life-transforming medicines.