Over the past decade, Cummins has embarked on a transformative data management journey to value trustworthy data as a strategic asset that drives measurable business performance. This case study explores Cummins’ evolution from fragmented and inconsistent data practices to a robust, enterprise-wide governance framework anchored by information management practices, functional enablement, and quality assurance. By aligning governance principles with business objectives, Cummins established clear ownership models, standardized processes, and leveraged advanced technologies to ensure trusted, actionable data. The initiative empowered critical functions such as supply chain, finance, and engineering with reliable data, driving operational efficiencies, regulatory compliance, and other business value. The journey reflects a cultural shift toward data stewardship and accountability, positioning Cummins to harness data as a competitive advantage. Attendees will gain insights into lessons learned, key milestones, and the strategic vision that continues to shape Cummins’ future in an increasingly data-driven world.

• Where we began on our evolutionary journey
• Key milestones achieved
• Success story examples
• Challenges and lessons learned – what we could have done differently
• Where we go from here - leveraging machine learning and AI

Speaker: Manjula Raghunathan, Data Quality Leader, Cummins Inc.

Manjula Raghunathan is a seasoned data quality and governance leader at Cummins Inc., with over 25 years of experience spanning business intelligence, Six Sigma, and information management. Manjula leads a team of analysts to deliver data-driven solutions for major transformation programs. She is recognized for strategic vision, analytical expertise, and inclusive leadership. Holding master’s degrees in economics, business administration, organization development, and change, Manjula is a mentor and advocate for diversity, shaping best practices in data quality and organizational excellence.

Speaker: Lizabeth Crawford, Data Quality Leader, Cummins Inc.

Lizabeth (Beth) Crawford is a Data Quality Leader with 12 years of experience in enterprise data management and business process transformation. Beth spent 11 years in engineering and supply chain management, bringing a unique perspective to data-driven initiatives. She specializes in aligning data quality programs with business objectives, driving cross-functional collaboration, and delivering measurable business value through innovative solutions. A passionate advocate for data stewardship and digital transformation, Beth has led major programs in governance, machine learning for anomaly detection, and global process optimization, saving millions in operational costs.