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Data Analytics Is Still In Its Earlier Stages in Automotive Industry

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As industries resort to technological incorporation for optimal results and dealing with new challenges, the automotive industry couldn’t have remained unresponsive. But instead, the sector has also begun using the technology for overall improvement. Here is a look at how big data is influencing the industry.

Big data is still in its early stages if we consider the current state of affairs in the automotive sector. 

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The automobile industry’s manufacturing, marketing, and supply chain sectors have all adopted data analytics, but the product’s data generation and analysis have received the least attention.

However, today, big data and analytics provide previously unimaginable opportunities for overcoming numerous other difficulties automobile manufacturers encounter.

The automotive industry predominantly uses data analytics for design and production. 

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With an effective embedded analytics system, significant cost reductions can be made. In addition, when the vehicle is still in the blueprint stage, the analytics system in the workflow software foresees defects or design errors.

Big data has the most significant influence on autonomous vehicles’ advancement. The manufacturers must choose how to effectively use this data island to save money and strengthen their market position, with predictions from IHS Automotive saying that the average car will produce approximately 30 terabytes daily.

Applying big data to these enormous volumes is critical to arriving at accurate decisions.

Customer satisfaction is an integral aspect of the industry. Big data is being relied upon heavily to enhance the customer experience and improve the services based on real-time feedback. 

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