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Frost & Sullivan: Big Data's Predictive Functions to Help Identify and Deliver Opportunities in the Automotive Industry

7 pages
Frost & Sullivan: Big Data's PredictiveFrost & Sullivan: Big Data's Predictive Functions to Help Identify and Deliver Opportunities in the Automotive Industry PR Newswire MOUNTAIN VIEW, California, March 25, 2014 - Big data can impact the bottom line for stakeholders by being more predictive than reactive as well as enhancing customer satisfaction Both the North American and European automotive industries are on the cusp of change, with big data and connected services combining to foster the development of diverse mobility integration business models. Frost & Sullivan expects 60 percent of original equipment manufacturers (OEMs) to devise big data strategies and offerings in the next two years, prompted by the proliferation of high-bandwidth, embedded connectivity technologies, such as long term evolution (LTE). OEMs' strategies could involve strengthening in-house capabilities or outsourcing the job to big data experts. The focus is on standing out from the competition based on brand awareness, digital engagement of customers, and response time. New analysis from Frost & Sullivan, Strategic Analysis of the Impact of Big Data on the European and North American Automotive Industry, finds that by 2020 approximately 35 million vehicles in North America and Europe will make relevant data sets available for OEMs to assimilate and convert into actionable insights.
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Frost & Sullivan: Big Data's Predictive Functions to Help Identify and Deliver Opportunities in the Automotive Industry

PR Newswire

- Big data can impact the bottom line for stakeholders by being more predictive than reactive as well as enhancing customer satisfaction

Both the North American and European automotive industries are on the cusp of change, with big data and connected services combining to foster the development of diverse mobility integration business models. Frost & Sullivan expects 60 percent of original equipment manufacturers (OEMs) to devise big data strategies and offerings in the next two years, prompted by the proliferation of high-bandwidth, embedded connectivity technologies, such as long term evolution (LTE).