At the CeBIT 2014, IBM said BMW is deploying IBM Big Data & Analytics technology to optimize products, repairs and maintenance.
IBM predictive analytics will assist the auto major to detect and fix vulnerabilities before new models are launched.
The analyses include product and development data as well as warranty, diagnostics, and repair information that is gathered and evaluated worldwide, IBM said.
With IBM Big Data & Analytics technology, the insights obtained from data can be incorporated into the product design and production process.
The IBM SPSS predictive analytics software helps to combine and analyze data from, for instance, numerous test drives of prototypes, an average of 15,000 faults recorded by vehicles, and details from recent workshop reports.
IBM said 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.
Using IBM Big Data & Analytics, data sources can be analyzed to discover patterns and anomalies to predict and anticipate maintenance needs. Repair instructions can be issued in order to reduce the number of workshop visits and speeding up repair times.
Approximately 250 of these analytics applications are now available, enabling more than 500 users from BMW Group to perform their own analyses. The proportion of analytics provided on a “self service” basis is rising continuously, also since the analyses are easy to carry out.
IBM has completed more than 30,000 analytics client engagements and projects $20 billion in business analytics and big data revenue by 2015.