The Data Decoded Podcast
Podcast Description
Welcome to the Data Decoded podcast—where we unravel the multi-dimensional world of data and uncover strategies that truly work. In every episode, we feature leaders from technology, industry veterans, compliance specialists, and the innovators working behind the scenes. Our trailblazers come together to strategize implementations by solutioning these problems on the most effective data platform today - Data Lakehouse. If you’re done with ambiguity and ready for practical insights, tune in to learn from the lessons of the past, act with clarity today, and prepare for the opportunities of tomorrow.
Podcast Insights
Content Themes
Explores data management topics such as centralized vs decentralized data architectures, with episodes like 'Centralised vs Decentralised Data Architectures with David Ding', and focuses on practical strategies for leveraging Data Lakehouse technology to address real-world data challenges.
Welcome to the Data Decoded podcast—where we unravel the multi-dimensional world of data and uncover strategies that truly work. In every episode, we feature leaders from technology, industry veterans, compliance specialists, and the innovators working behind the scenes.
Our trailblazers come together to strategize implementations by solutioning these problems on the most effective data platform today – Data Lakehouse. If you’re done with ambiguity and ready for practical insights, tune in to learn from the lessons of the past, act with clarity today, and prepare for the opportunities of tomorrow.
In this episode of Data Decoded, we delve into the intricate world of supply chain management with industry veteran Jeffrey. With over two decades of experience in ports, maritime shipping, logistics, and infrastructure, Jeffrey sheds light on the evolving landscape of supply chains and how data management is revolutionizing manufacturing.
We explore the critical challenges facing modern supply chains, including visibility and traceability issues stemming from outdated systems and data silos. Jeffrey debunks the myth that ”more data equals more visibility,” emphasizing the importance of context and actionable insights over sheer volume.
The discussion shifts to the transition from reactive to predictive supply chain monitoring, highlighting the role of technology and AI in anticipating disruptions and optimizing operations. We examine the function of CMMS (Computerized Maintenance Management Systems) and the need for robust data integration and standardization.
Looking ahead, Jeffrey shares his insights on the future of supply chains, emphasizing the growing role of AI and automation. We also address the increasing importance of compliance, data protection, and ESG (Environmental, Social, and Governance) considerations, particularly in the manufacturing sector.
Join us as we decode the complexities of supply chain optimization and explore how data-driven strategies are shaping the future of global commerce.
Key Takeaways:
- The importance of data context and lineage in achieving true supply chain visibility.
- The shift from reactive to predictive and prescriptive supply chain management.
- The role of AI and automation in streamlining operations and enhancing efficiency.
- The growing impact of compliance, data protection, and ESG considerations on supply chain strategies.
- The challenges and opportunities in modernizing legacy systems and achieving seamless data integration.
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