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FREMONT, CA: Learning how to improve manufacturing from every item made is a boon. If proper and enough tools are there, every unit can teach something. Data Analytics-based tools have changed the way companies do business globally. With these tools, organizations are already saving many electronics manufacturers millions of dollars today. Big Data Analytics (BDA) caters to the requirements by integrating some of the modern technologies such as Data Visualization (DV), Machine Learning (ML), and Artificial Intelligence (AI) technology into the manufacturing process. Maximizing value usually relies on integrating these tools throughout the value chain.
The transformation into a data-driven organization is seen as a strategic advantage. Top names in finance, management consulting and beyond have been touting the value of becoming a data-driven company. Most companies have accepted the importance of BDA tools, and their adoption has benefitted almost every other organization. Success with data-driven endeavours requires in-house expertise or help from outside third-party experts and partners.
Demand for electronics can never decrease, and within the semiconductor industry, demand for fabrication capacity has never been so high. Cloud computing, wearable devices and mobile, the Internet of Things (IoT), including increased automation of daily systems are also retaining electronics manufacturers controlled by driving demand for new electronics. The constant pressure to give up gross margins is always there internally even if the demand is high. There is significant room for enhancing manufacturing methods with present technologies. Latest technologies are added to an electronics manufacturer’s production abilities, maximizing efficiency and ensuring achieved right out of the gate.
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Collect, detect, act, and then repeat are three basic concepts of data analytics. The collection and retention of test data are critical and has long been used by experts for failure analysis. Conclusively the results of BDA tools are integrated throughout the complete supply chain. Hyperscale infrastructure specialists and data scientists are two broad categories of individuals required to make any BDA effort successful. By deploying an easy-to-use infrastructure, the solution serves as an optimal one for organizations to begin their BDA journey.
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