BMW is deploying IBM big data analytics technology with the aim of improving its products, repairs and maintenance.
The use of predictive analytics will help to detect and fix vulnerabilities before new car models are launched - long before they might cause problems in series production, said BMW.
Big data analysis will include product and development data, as well as warranty, diagnostics and repair information that is gathered and evaluated worldwide.
The insights obtained from these large amounts of data can be incorporated into the product design and production process.
Analyses that often used to take several months previously are now available within a few days, said BMW, so that potential issues are detected and fixed swiftly to avoid recurring faults.
IBM SPSS predictive analytics software helps to combine and analyse data from, for instance, numerous test drives of prototypes, an average of 15,000 faults recorded by vehicles, and details from recent workshop reports.
Vulnerabilities can therefore be quickly identified and eliminated before new models go into production. The results of the analyses are immediately channeled back into the operational processes, helping to reduce error rates and save costs. Previously, the evaluation of this data took months to complete, BMW said.
Another benefit is the automation of certain analyses, as different business divisions and subsidiaries often have similar analytics queries.
Around 250 analytics applications are now available to BMW, enabling more than 500 users from BMW Group to perform their own analyses. The proportion of analytics provided on a "self service" basis is said to be rising continuously.
Last month, BMW said it believed 5G mobile networks could be vital in supporting "self-driving cars" on city streets.
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