Big Data Many companies are making use of big data to give themselves competitive advantage. Tesla is a good example of this. Tesla installed its Autopilot self-driving system on its cars in late 2015, even though the system is not activated. But what it has done is allowed the company to collect data on 1.3 billion miles of driving. This in turn "allows Tesla's engineers to fine-tune the algorithms that control its cars' active-safety systems," the basis of fully autonomous driving (Edelstein, 2016). Other car companies are working towards self-driving cars, but are doing it without the benefit of this enormous data set, which means that Tesla should in theory enjoy a technological competitive advantage with its self-driving cars (Edelstein, 2016).

The implementation of this big data is a work in progress. It will take years, and in theory the implementation should remain ongoing even once Tesla's cars are fully autonomous. The company is pursuing this project with an eye to gaining competitive advantage. It will be able to develop better self-driving cars, safer and more effective, than those of its competitors. When self-driving cars arrive on the market there will be intense competition and battle for market share, but in this Tesla will have the ability to...

It is possible that a larger competitor that sells more cars in a year can overcome this, but with self-driving cars not more than a year or two away from fully autonomous capability, competitors may not be able to make up the data gap on Tesla until market positioning has already been established.
Another company that makes ample use of big data is IBM, and they are using it in an entirely different way. IBM is leveraging the trendiness of big data in business to help sell its technology solutions. While companies look to the firms they admire -- Google, Tesla, Apple -- that make substantial use of big data, there is a whole industry of other companies that are willing to build around the drive towards data acquisition, and make supporting data acquisition, storage and retrieval a…