Garbage in, garbage out? If you want to make well-informed decisions, you need all the facts—and more importantly, the right facts. That’s why data integrity is critical to driving meaningful, data-informed decision-making. This session presents a real-world case study of a Risk Management department’s journey to improve data quality within a newly implemented SaaS-based Enterprise Risk Management system. Despite strong contractual agreements, initial training, and system rollout, the organization faced persistent challenges: poor service delivery, slow system performance and cultural resistance leading to poor quality data. Through targeted interventions led by an internal IT team such as improved reporting, system enhancements and communication strategies—the organization achieved a 163% data quality improvement in two years. Attendees will learn the importance of a data integrity plan, and solutions that drive sustainable data quality improvements.

LEARNING OBJECTIVES

Analyze the root causes of poor data quality.

Apply practical techniques to improve user engagement and data integrity

Encourage cross-functional collaboration to drive sustainable data quality improvements