Podcast: Don’t Panic! It’s Just Data Guest: Jignesh Patel, Director of Product Strategy at Stibo Systems and Elsebeth Gundersen Jensen, Product Owner at Nets Host: Dr Joe Perez, Data Analytics Expert and Amazon Bestselling Author We’re living in times of an always-on digital economy where there’s no room for data errors. In the recent episode of the Don’t Panic It’s Just Data podcast, host Dr Joe Perez, Data Analytics Expert and Amazon Bestselling Author, sat down with Jignesh Patel, Director of Product Strategy at Stibo Systems and Stibo Systems’ customer, Elsebeth Gundersen Jensen, Product Owner at Nets. Perez pointed out that even the smallest inconsistency can "ripple completely across an entire operation, instantaneously." This reality is prompting enterprise tech leaders to rethink how they manage, govern, and use data, especially with the rapid growth of AI adoption. Overall, the guests send out a clear message – trusted, real-time data is now a crucial part of business infrastructure. How are Enterprises Mastering Intelligence? Traditionally, Master Data Management (MDM) has focused on creating the “golden record,” a single, reliable version of key business entities like customers or products. While this remains important, Patel believes this idea is changing quickly in the AI era. “MDM is moving beyond data correctness towards what I call mastering intelligence,” he said. “AI systems rely on trusted context—understanding what entities are, how they relate, and the business rules that apply.” This change is part of a larger transformation in enterprise architecture. Decision-making is no longer limited to human-driven dashboards; it is increasingly spreading across applications, analytics platforms, and AI agents acting in real time. In such a setup, inconsistent data does not just create errors but it can amplify it. “AI doesn’t eliminate the need for MDM or data governance. It emphasises it,” stated Patel. For enterprises heavily investing in AI, this insight is vital. Without a strong data foundation, AI models might provide insights but not dependable results. As enterprises move toward AI-driven and even agent-based business models, the need for trusted data will grow even more important. Patel highlights new questions from the C-suite – How will AI agents find my products? Why isn’t my business being recommended? The answer increasingly depends on structured, high-quality data. “AI success is dependent on trustworthy data,” Director of Product Strategy at Stibo Systems says. “MDM and governance are the foundation for the next generation of intelligent business systems.” For enterprise leaders, the key directive to note is in the race to implement AI, data trust is the competitive edge and not only the requirement. Key Takeaways Real-time trusted data is essential for enterprise AI success and operational resilience. Poor data quality directly impacts customer experience, revenue growth, and compliance. Modern Master Data Management (MDM) is evolving from “golden records” to AI-ready data intelligence. Proactive data governance must replace reactive data cleanup to scale in real-time environments. A unified data model is the foundation for accurate, consistent, and AI-driven business insights. Chapters 00:00 Introduction to Data Governance and MDM 02:06 The Shift to Real-Time Data 05:27 Business Risks of Lacking Trusted Data 08:20 Growth Through Mergers and Acquisitions 15:29 The Role of MDM in AI Initiatives 20:02 Transitioning to Proactive Data Management 22:01 Advice for CIOs on Managing Product Data For more information, please visit em360tech.com and stibosystems.com. To learn more about AI in the MDM space and how they’re progressing enterprise analytics intelligently, follow: Stibo Systems LinkedIn: @StiboSystems https://www.linkedin.com/company/stibosystems/ Stibo Systems X: @StiboSystems Stibo Systems YouTube: @StiboSystemsGlobal EM360Tech YouTube: @enterprisemanagement360 EM360Tech LinkedIn: @EM360Tech EM360Tech X: @EM360Tech https://www.linkedin.com/company/em360?originalSubdomain=uk #MDM #DataGovernance #EnterpriseAI #DataQuality #TrustedData #AIStrategy #RealTimeData #DigitalTransformation #StiboSystems #TechPodcast

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