We all know how Big Data is being used to improve business practices, predict user behaviors and boost decision-making processes; however, it might come as some surprise that mining and interpreting large scale data is now also helping to shape and enhance some of the world’s biggest and most popular mobile applications and processes.
Data has been used across the banking and IT security sectors for many years to help predict and prevent security breaches, including:
By studying and interpreting Big Data from several sources, security specialists have been able to improve their understanding of high-risk sectors and write Artificial Intelligence (AI) systems capable of identifying suspect behavior.
Big Data gives developers greater insights into users, and user behavior and variations of this same tech are now filtering their way down into the most common apps we use every day on our handheld devices.
In today’s uber-connected world, it’s somewhat inevitable that we all have our go-to apps that we use daily to stay in touch with friends and family or catch up on their latest news. Apps like Facebook, Instagram, Twitter, and WhatsApp have become such a staple part of everyday life that it’s almost impossible to imagine a time without them.
Couple that with the massive user base of perennial favorites like streaming media apps such as Spotify, Netflix, and YouTube, and it’s easy to see just how much data these respective companies can gather about their users – and make no mistake, gather they do. Let’s just look at YouTube as one single example among many:
With so much digital activity and insight to their users, it’s perhaps inevitable that these titans of social media, communications, and streaming content are coming to rely heavily on Big Data to improve their services and, in turn, stay top of the tree compared to their rivals. From the biggest players right down to independent apps production firms like Make IT Simple, app developers are coming to rely on user data to dictate the direction of their services.
Examples of where Big Data is being used in our most popular apps include:
If you remain in any doubt about how Big Data can be used to power apps and content provision, just think of the way Spotify seemingly knows what new music might interest you – or how Amazon’s Prime service somehow seems to hit the nail on the head each time with books, shows or music you might like. This same capturing and interpreting of data happens across the board in all your most-used apps – from Facebook to Netflix, Twitter to LinkedIn.
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