Tesla Inc. is an American electric vehicle (EV) and energy generation and storage system manufacturer that is among the five top largest publicly traded companies in the country. Due to the focus on sustainability and the need to stay up-to-date with the latest business trends, Tesla heavily relies on data to improve customer experience and maintain its competitive advantage. Specifically, Tesla uses big data as one of the main factors of business competitiveness, representing information from new data sources that are more expansive and complex in volumes than normal data.
The first example of how Tesla uses big data to improve customer experience is by gathering data from cars’ sensors that track everything about the driving process. Tesla vehicles send data to the cloud directly, with Artificial Intelligence being crucial for filtering and managing it. This allows engineers to troubleshoot any issues and ensure that mistakes that hinder the process of driving, especially since Tesla has the self-driving feature (Lobzhanidze, 2022). Big data is used to find patterns in cars’ movements to predict unexpected events and ensure that the systems know how to respond to them.
The second example of how Tesla uses data is that the company develops deep neural networks (DNNs) to extract information from unstructured data to create software updates that are unmatched by the competition. DNNs have been essential for showing which features customers expect to see, which allows for responding directly to their needs. Besides, the customization of features based on customers’ demands is what sets Tesla apart from competitors because it does not require a lot of time for the company to respond to customer feedback and improve on the features.
Reference
Lobzhanidze, G. (2022). Improving experience through data, the Tesla way. Web.