Ms. Deepshikha Shekhawat

Breaking Down Data Silos: Leveraging Predictive Analytics to Transform Semiconductor Supply Chains

Abstract:

In the rapidly evolving semiconductor industry, the fragmentation of critical data across different teams creates significant barriers to efficiency and decision-making. These data silos lead to inefficiencies, costly delays, and significant missed opportunities for optimization.

This session will address one of the most pressing challenges organizations face: how to break down these data silos and drive actionable insights to streamline the supply chain and optimize business operations at different tiers.

Drawing from my 12+ years of experience, I will share how an intelligently designed data architecture can save millions of dollars and reduce time-to-market by consolidating critical data into one accessible platform. By leveraging data science and predictive analytics, companies can unlock powerful insights into key metrics like lead time, supplier performance, and cost, ALL IN REAL-TIME.

Key session takeaways include tips on building and maintaining a robust data infrastructure, integrating disparate data sources, and defining the right KPIs for a more efficient and transparent supply chain. Key focus areas will include the importance of cross-functional collaboration, predictive analytics for better forecasting, and practical strategies for enabling real-time reporting that empowers teams at all levels to make data-driven decisions. Attendees will leave with a solid understanding of how data architecture and advanced analytics can be used to transform semiconductor supply chains—boosting collaboration, improving operational performance, and ultimately driving business success.

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