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“For over a century, car manufacturers have been bastions of innovation, continually pushing themselves and their products forward with new technology and fresh approaches.”

Some case studies show us how auto manufactures solve problems using data analytics.

Volkswagen partnered with automotiveMastermind on predictive analysis to boost sales and customer retention rates

Through a partnership with automotiveMastermind, Volkswagen has integrated predictive analytics into their sales process. VW dealers use their new partners’ proprietary behavioural analytics and marketing automation ability to increase store sales and customer retention rates. automotiveMastermind’s technology takes thousands of data points from dealer management systems and combines it with Big Data such as social media profiles, financial records, product and consumer lifecycle information and socio-demographics. The data is then distilled down to one simple number between zero to 100. The number demonstrates to the dealer a ranking in the behaviour prediction of potential customers. Besides, automotiveMastermind also delivers customer-specific talking points and highly personalized marketing campaigns right to the dealers desktop to increase the probability of a customer visiting a dealer.

Audi partnered with Adobe to provide a seamlessly consistent brand experience

The Audi website goes far beyond a place to simply communicate corporate information. Instead, it is a destination site for long-time Audi fans and new consumers, offering visitors a complete brand experience with current news, links to dealers, vehicle guides, and the always-popular Audi Configurator – an interactive application that enables customers to design their own cars. Audi’s main challenges were: maintaining, brand consistency across 93 websites in 40 languages, empowering local web teams and dealers to develop websites efficiently, and integrating applications for seamless online customer experiences. Using Adobe analytics solutions, Adobe Experience Manager, and Adobe Marketing Cloud, they were able to provide a seamlessly consistent brand experience on all their websites worldwide.

Jaguar Land Rover speeds validation up to 90%

One of the primary goals of Jaguar Land Rover plc another automotive industry example was to quickly and cost-effectively deliver vehicle features that meet unique marketplace demands. The organization also needed to effectively maintain a greater range of features options and combinations from which customers could choose. Jaguar Land Rover implements a suite of IBM® Rational® software to create a new requirements management and modeling system.

Big data helped auto industry to develop rapidly over the last decade. Well collected data can be processed into valuable information. Data analysis makes sense of this information and covert it into knowledge which gives you in-depth business insights and helps decision making.

Big data is helping the auto industry in different dimensions.

Safety

Millions of data points are collected from test drives, crash tests and simulated scenarios. Auto manufactures are able to make thousands of safety improvements to their vehicles to increase their capacity to survive in accident and other extreme conditions. The big data analysis predicts flaws or designing errors when the vehicle is still in the blueprint stage. The analytics can also help track on vehicle quality and safety.

Cost

Cost can be efficiently controlled when data analytics system is used for design and manufacturing. Better work flow and procedural changes can improve efficiency and maximize productivity. Fleet and fuel management, supply chain management can also benefit from big data to drive the overall cost down.

Autonomous Vehicles

Big data has great impact on the development of autonomous vehicles. Semi-autonomous cars and fully autonomous cars are not only on the test drive stage but also can be found in the market. The automobile industry speed up its pace of innovation thank to the big data.

Customer Retention

Trust and loyalty of customers are important to every industry. Big data helps better understand customers’ need, personalize the design and advertising for different markets. Aftermarket services also make use of big data, like predictive maintenance and personalized services.

The auto industry is becoming data driven with larger volumes of data being produced and collected than before. Big data and analytics help the industry to discover the unseen and derive value from the large amounts of data to find better solutions, make better decisions.