Case Study: Simply everything at a glance
The aim: Better data transparency creating a sound foundation for deriving valuable forecasts and recommendations.
Testdata, production data, driver information – how can the data of an automobile manufacturer be utilized, so that they benefit both the company and also the drivers? We designed a Big Data platform that optimizes both production and driving pleasure.
Centrally collecting data arising in testing, production and application, analyzing it and letting the evaluations flow back in the process in real-time, in order to make them valuable. That was the desire with which a big automobile manufacturer approached us. The aim was on one hand better data transparency, on the other hand the creation of sound foundations for deriving valuable forecasts and recommendations.
After an extensive requirements analysis, WidasConcepts designed, implemented and configured a central Big Data platform, to which all areas can now access. Particular attention was paid of course also to the high safety requirements of the industry.
The development of the solution was actively accompanied by WidasConcepts. All employees who have been introduced by us in training on the handling of the new platform with all its possibilities, found strong support.
The expenses for testing & analytics could be reduced thanks to a better plannability of the series of experiments, an increase of efficiency through smarter testing and simulations and an optimization of the measuring methods. The possibility to derive values from existing data can even avoid costly component-tests.
In production too, there are benefits for the company. Quality checks during the different manufacturing stages and processes, as well as the possibility of real-time error detection leads to clearly reduced expenses. Because countermeasures, such as for example the recalibration of tools, sensors and actuators can be initiated immediately. And: product development and thus the roll-out of new products will be accelerated, based on the product data.
In the vehicle itself, the driver is finally happy about the decreased accident-risks and more driving pleasure. Because the smart on-board systems derive predictions and service recommendations from driver information in real time.
The bottom line: The Big Data platform by WidasConcepts creates the optimal basis for the megatrends “Internet of Things” and “Connected Car”.
The technologies used
Linux, Hadoop, Hive, Hbase, Flume, Sqoop, Zookeeper