Vopak, an independent infrastructure provider, knows a thing or two about the importance of data quality. They store vital products such as chemical, oil and gas for 1,000+ customers across 78 terminals in 23 countries. But ensuring proper storage at this scale requires both high levels of regulation and stringent data quality standards. The secret to their success? Data observability. In this talk at the Data Innovation Summit 2024, Valentijn Valstar, System Architect Data & Analytics and Neils Raas, Data Quality Specialist, dive into the evolution of Vopak’s data journey. They share why data quality is mission critical for their organization, why and how the team invested in data observability with Monte Carlo to improve data quality across the business, how they approach standardizing data outputs, and more! Key takeaways:
- What is data observability and how can it impact your organization
- How data observability improves data quality
- How to standardize data outputs to ensure high levels of data quality
