Why MDM is the Hidden Superpower Every Manufacturer Needs in 2026
In this insightful episode of the Nvizion Podcast, Rohit Singh Verma, Senior Director, Data Practice at Nvizion Solutions, discusses with Yasser Salah, Data & AI Leader at Informatica, why many AI, digital twin, and predictive maintenance projects in manufacturing fail, not because of technology, but due to poor, siloed master data.
Rohit and Yasser explore real-world manufacturing challenges, showing how disconnected product, asset, and supplier data leads to inefficiencies, costly recalls, and stalled digital initiatives. They highlight why Master Data Management (MDM) is essential for trusted data, supply chain resilience, and scalable AI and digital twin programs.
From creating golden records to breaking down silos across ERP, MES, and PLM systems, this conversation provides actionable insights for manufacturing leaders seeking to turn data chaos into a competitive advantage.
Episode Highlights:
- Why 70%+ of AI and digital twin pilots fail without clean, orchestrated master data.
- How MDM resolves product, asset, and supplier data complexity to improve efficiency and accuracy.
- The difference between MDM and basic system integration and why connected systems alone are not enough.
- How trusted data enables precise recalls, predictive maintenance, and resilient supply chains.
- Practical guidance on starting small, building trust, and scaling digital initiatives with confidence.