Disruption in the automotive industry was long overdue. In the last few years, the automotive industry has seen a significant transformation with Self- driving autonomous cars, Connected cars, Electric cars, and drastic security and feature enhancements using various technologies as described in this report by Mckinsey.
As transportation goes Hi-tech, it needs a strong system to support all the futuristic technology endeavors. Vehicles connected to the cloud generates a large volume of data. This data, if kept in silos will lead to a significant loss to the manufacturer and the consumer, as this is the key to constant improvement.
This is where big data analytics comes into play. A big data analytics solution built in the cloud can help auto manufacturers get real-time actionable insights into their product life-cycle, sales, marketing, etc.
Let us explore some of the examples where Big data analytics plays a major role in supporting the automotive industry transformation.
Product Quality Analytics
- Helps in identifying problems and restrict downtime by analyzing machine performance in real-time
- Decision-makers now spend less time reporting and more time in analyzing useful data
- Analyzing buyer persona and consumer behavior to identify prospective consumers who will most likely purchase a vehicle.
- Target segmentation to provide the right product to the right consumer by targeted campaigns
Sales and Marketing Analytics
- Optimum allocation of marketing dollars with actionable insight into online and offline campaigns
- Customer data integration with CRM, SRM, and other sales and marketing databases to help with the sales campaigns
Real-Time fleet analytics
- To help fleet managers to avoid extra costs and have better control through actionable insights.
Supply chain analytics
- Helps in identifying continuously changing trends in the market so that the automaker can be future-ready.
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