NorCom Information Technology GmbH & Co. KGaA announced that it is expanding its DaSense Analytics installation at a large automobile manufacturer. DaSense Analytics is currently used in the customer's development department in the broad field of root cause analysis.

A few apps have already been created here in the past, which are now to be used in other departments. DaSense Analytics in vehicle development Root cause analysis is an important element in vehicle development. The aim is to be able to systematically avoid a proem thatat occurs in the future by analyzing the causes, instead of solving it afrwards.

The results of the roooot cause analysis also provide important information in order to determine the underlying causes of errors and to be able to rectify them in a cost-efficient and customer-friendly manner. In the previous cooperation with the customer, several apps have already been created that can be used to run jobs in various areas of root cause analysis. One of the apps provides information about dependencies between error codes that occur.

Another monitors the success of repair measures. An app also makes predictions about the likely occurrence of certain error codes. By packaging the analytics queries in apps, non-technical users can also perform these jobs.

No programming knowledge is required - the parameters for the respective job are entered via a simple input mask. The apps can now be made accessible to an extended group of users, such as mechanics or application departments.