The central Big Data platform for a large automotive company, which optimises both production and driving pleasure.
Big Data is revolutionizing automotive industry. Like hidden treasure, data from development, production, after-sales and vehicle is stored independently of each other on servers. With Big Data, automotive manufacturers and their suppliers can link to this data and evaluate. From these findings valuable predictions can be derived, the costs saved and above all the customer remains loyal and satisfied. WidasConcepts has successfully helped a major automobile manufacturer build a sound foundation for deriving valuable forecasts and recommendations.
A vehicle requirements are as individual as the situations of the individual driver. It is difficult to differentiate competitors when it comes to technique, so often, only nuances are a deciding factor when purchasing a new car. To win amidst the strong competition as a manufacturer and to delight customers, the wishes of new and existing customers must be addressed in a reinforced manner, when developing products and services. They not only expect impeccable quality in addition to the needs-based model, but also have high expectations of durability as well as warranty and services.
This is where Big Data comes in the game: from the increasing amount of data from production, sales, workshop and vehicle, car manufacturers can filter out relevant information to meaningfully channelize them and thus draw up a competitive advantage.
This is the deciding success-factor in the future. With Big Data the automotive industry can make important futuristic corporate-decisions based on comprehensive forecasts, comparisons and projections. This is because the information will be used in real time and in this way the products and services can be better targeted to the needs of individual customers and prospective customers. But how can these large amounts of data be most efficiently structured, stored and evaluated, so that they benefit the company and the customers?
Big Data platform with Hadoop: central data pool
After an extensive requirements analysis, WidasConcepts with its wealth of experience in Big Data, designed, implemented and configured a central Big Data platform based on the software-framework Apache Hadoop, which centrally collects the data from development, testing and production and analyses it. The evaluation flows back into the process in real time and makes the data reusable, company-wide. Thus the manufacturer achieves a greater data transparency internally while creating a sound basis for the derivation of valuable forecasts and recommendations. Particular attention was paid of course also to the high safety requirements of the industry.
Cost savings thanks to the targeted use of the data in real-time
The Hadoop platform implemented by WidasConcepts can help reduce the costs in the research department in a sustainable manner – thanks to better plan-ability of the experiments, an increase in efficiency through intelligent tests and simulations as well as the optimization of measuring methods. The possibility of deriving value from existing data material can even avoid costly component tests in the future.
Benefits in the production
Quality control during the different manufacturing stages enables in future, an immediate error detection: here, the collected data will be analyzed in real time. Countermeasures can be quickly initiated in the event of an emergency, for example a calibration of tools, sensors and actuators. Additionally, based on the product data the development and in turn the roll-out of new vehicles will be accelerated. Analytical customer clusters also allow for a precisely targeted product development, meaningful sales and equipment forecasts and therefore an optimal production planning.
Big Data generates a Value-add for the customer
The smart on-board systems in modern cars derive predictions and service-recommendations from driver-information, in real time. A combined evaluation of workshop and vehicle data promises a more focused customer care, a plannable full-utilization of workshops and thus shorter waiting times for services and repairs. Networked vehicles communicate with each other and warn themselves of roadworks, accidents or damaged roads. So, the driver can reduce the speed at an early stage, adopt an alternative route, or adjust the damper setting in the car. Big Data opens a new dimension/quality of driving: the driver is pleased with a product-service package, which is tailored to his needs, higher security and more driving pleasure.