Google Maps – the most expansive data machine

https://digital.hbs.edu/platform-digit/submission/google-maps-the-most-expansive-data-machine/
Google maps is a very convenient tool in our daily lives. How it is collected, managed, and then analyzed for practical use is still largely an unknown. To help unpack the mysteries of this buzzword, big data, it is beneficial to explore the ways it impacts our day-to-day lives: whether it be the ways in which we engage with content online to how it impacts our daily commute. Besides, to improve their ability to help drivers even further, Google purchased the navigation start-up Waze in 2013, to diversify their data sources. Waze relies on its users to report accidents, bottlenecks, and traffic as they drive (or sit stopped in traffic). Waze also partners with local city authorities to elicit accident data, construction updates, road closures, etc. This data allows Waze, and now Google, to take into account the roads and intersections that are prone to accidents or to adjust, for example, a water main break in real-time. The data sources useful to improving traffic flow will only continue to grow as cities update their public transportation systems with more sensors or install “smart” traffic signals. Companies like Google, to keep their competitive advantage, will need workers to continue to make sense of new and growing volumes of data as they become available: determining how to best leverage these data in real-time to provide us average drivers with the fastest route to work every morning. To sum up, we live in a data-driven world. Big data impacts our day-to-day lives in increasingly diverse ways, and as we’ve just seen, even that pesky commute. Google maps has really had a great advantages in our lives.

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