Ambreen Mahvash – Senior Data Analyst- Global IT & Digitalization, BW Group
Description
Organizations are swimming in data, but beneath the surface lies a growing and often ignored burden Data Debt. This session explores how accumulated data quality issues, poor governance, and reactive practices lead to hidden costs that derail digital transformation and AI readiness. Key Takeaways: • Define and contextualize Data Debt in modern digital ecosystems • Learn to identify early signs and quantify the cost of poor data quality • Explore frameworks and tools to address data debt proactively, data lineage, governance models, and automation • Understand how data debt impacts AI/ML outcomes, business decisions, and customer experience
