Speaker: Lai Minghuang , R&D director of a well-known semiconductor manufacturer in Taiwan, senior data analysis expert
Speaker: Voca Lai , R&D Manager, Taiwan's Semiconductor Assembly & Testing Giant
Speech topic: Standardization of big data analysis and JMP practical process
Topic: The Standardization of Big Data Analysis and JMP ® Experimental Flow
summary:
The craze for big data is in full swing, but the so-called big data applications on the market are actually mostly limited to organization and induction without analysis; without analysis, there is no further exploration of causes, countermeasures, or even predictions, so general big data applications may only be half done, and people cannot feel its magical charm. This speech uses the author's many years of practical experience in the semiconductor industry to share data analysis: from sorting to analysis, from decision-making to prediction, to all the steps in solving problems, summarizing a process that can be standardized; and giving examples of how to combine JMP's unique tools into this practical process to make a perfect presentation.
Abstract:
The recent upsurge of big data is still hot, but most of its applications in the market is limited to summaries or regression and does not include analysis. Without analysis, we cannot do further exploration of root causes and then make decisions or make predictions. The general application of big data is incomplete, and people should not fall to its magical charms. This lecture, based on the author’s practical experience in the semiconductor field for many years, will show you the data analysis steps with a standardized flow from sorting to analysis for decision making or making predictions and then solving the problem. The unique tools in JMP provide a template for a perfect demonstration.
