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None of the automotive applications you discussed really sound like "big data" to me. It's a fine buzz word, but I don't think "data analysis" and "big data" should be used interchangeably. Big data refers to massive organizations (Telcom is a nice example) that have so much data (down to the minute/second) on each individual subscriber and they have to find the best way to sort that data & pivot it in order to find something worthwhile.An automotive company selling customer specific data to another vendor isn't really big data IMHO. In some cases, that's the only data the company has, so it's not really like they have to dig to find it.Maybe if OnStar started collecting location data on all of their subscribers and started to pinpoint likely accident points & times of accidents so that they could warn the driver ahead of time -- but do you really want OnStar to know where you are at all times of the day?Anyhow, interesting topic.
None of the automotive applications you discussed really sound like "big data" to me. It's a fine buzz word, but I don't think "data analysis" and "big data" should be used interchangeably. Big data refers to massive organizations (Telcom is a nice example) that have so much data (down to the minute/second) on each individual subscriber and they have to find the best way to sort that data & pivot it in order to find something worthwhile.
An automotive company selling customer specific data to another vendor isn't really big data IMHO. In some cases, that's the only data the company has, so it's not really like they have to dig to find it.
Maybe if OnStar started collecting location data on all of their subscribers and started to pinpoint likely accident points & times of accidents so that they could warn the driver ahead of time -- but do you really want OnStar to know where you are at all times of the day?
Anyhow, interesting topic.