Despite abundance of quantitative data, the science of data has evolved into a highly subjective field. Data analytics has grown both as a field and as an industry as a result. In many industries with access to all relevant data, it is standard practice to employ data analysts from all over the world. They give analysts access to this data and solicit their help in interpreting it. To find market trends and practical sales-boosting strategies, the analysts analyse data and consult their clients. The manufacturing sector is one such industry .
Meeting customer expectations
Using data analytics, a lot of manufacturing businesses have been able to produce and alter their products in response to consumer demand. Producers can now investigate and correct any product flaws right away because manufacturing development is being guided quickly. The development of Artificial Intelligence (AI) has helped many industries streamline processes, including data analysis.
AI has made it possible for analysts and manufacturers to analyse consumer trends and preferences and improve their current products without having to manually sort through census data and make a judgement call. Data analysis helps not only in finding flaws but also in evaluating results and effectiveness of the corrective actions. Manufacturers can compare process changes, maintenance of the machines, and employee training.
When the results are apparent, the former can judge whether quality of the products has improved, and this also enables them to decide which changes to scrap and which changes to make permanent, thereby, improving the quality.
Enabling efficient manufacturing process
This story is from the Efficient Manufacturing - Jan 2024 edition of EM - Efficient Manufacturing.
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This story is from the Efficient Manufacturing - Jan 2024 edition of EM - Efficient Manufacturing.
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