The traditional statistics of big data mainly revolves around structured data. It involves around statistical techniques which is things such as surveys, interviews, experiment data etc and visualisation's. But it also may include machine learning, data storage and additional techniques. Using a range of data sources such as social media, lot devices or sensors which is used for big data analytics.
By analysing the data it can help to make useful decisions such as: Tracking customer spending habits - see what they’ve previously bought to help to help to advertise things toward that customer that they are more likely to buy. E.g Amazon, banks etc. Smart traffic system - GPS to show you what way has speed cameras, traffic etc. additionally for pilots to see what the weather conditions are gonna be like e.g speed, moisture, temperature etc. lastly self driving cars. Virtual personal assistant tool such as Siri (Apple), Alexa (Amazon) etc. which tracks the location so they can tell them the local time, season, weather, news or any other question asked by analysing all data it provides an accurate and fast answer. https://www.geeksforgeeks.org/applications-of-big-data/
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