Big data has been rapidly growing in the world of business for years, with many company owners investing their time and money into understanding how large amounts of data can be stored efficiently.
Big Data Speakers
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From vending machines to mobile phone apps, every digital interaction we have is recorded, analysed and used to record consumer behaviour. Simply defined as huge amounts of information being stored for the purpose of analysis, big data can help business owners to understand what their consumers want. Broken down into demographics - age, race, location, gender - patterns are monitored that can group types of people by their spending habits.
Big data can feel daunting and complex, but our speakers are here to help. With years of industry experience, they can offer an insight into how big data can aid your business’s future. With consumer spending habits at your fingertips, you will be able to tailor your product or service to the demographic most likely to make a purchase. Our speakers can advise you on the ethical boundaries of big data, for example, how to handle people’s information in accordance with the EU’s GDPR policy so that you maintain trust with your customers.
Data becomes "big data" when it can no longer be stored by traditional methods. Initially, data was stored on mainframe computers, which were visited by physicists from around the world who wanted to access the information. With multiple languages trying to understand the same information, the internet allowed the networks to understand the same language, connecting the US with Europe.
When the web was created in the 90s, the way that we access information changed forever. As the amount of data exploded in the 2000s/2010s, big data systems were needed to store the mass amounts of information, deriving more knowledge by merging related information together and analysing the patterns.
Information stored by big data is constantly being updated and used by every company, from Netflix to Google Maps. For example, Netflix’s algorithms will track the type of movies and TV shows that you want to see, the genres that you don’t like and even the thumbnails that will be most likely to make you click. If you like romantic films, then Netflix will show you thumbnails that feature two characters embracing. However, if you prefer comedy films, then Netflix will choose thumbnails that include a recognisably funny actor.