Nowadays i big data they are used to collect user information in the most disparate sectors. And to be honest, they know much more about us than we might imagine.
Big data is large or very large quantities of datawhich are cataloged and analyzed using specific tools.
Make an estimate of the amount of big data circulating today on the web it is very difficult; but to have a more concrete idea it will be enough to consider that a single airplane produce circa 20 terabytes of data every hour. And that this figure emerges by limiting the analysis to sensors who keeps his under control motor.
I big data they are transformed into knowledge through different tools and technologies. But theartificial intelligence and the models of machine learning they seem to be the ones capable of bringing this knowledge to a level of value never seen before.
AI is in fact capable of assimilate information contained in big data e transform them into something more: new concepts, or even more or less accurate predictions.
How big data is used in retail and finance
The sector of Retail was among the first to take advantage ofbig data analysisalso because it is a supply chain that produces a lot of data at each step.
The primary beneficiaries of this information are sellerswhich thanks to big data can manage them as best as possible inventory: keeping sales under control but also adapting orders thanks to predictive analysis.
Big data is the new fuel that powers market analysis more in-depth. Huge amounts of information that they track millions of purchases: giving a detailed picture of user preferences, on a per-individual basis customer experience.
Exactly study of user behavior allows you to achieve at least two other great goals. The first has to do with the price adjustment of individual products, an adjustment that can now be followed 24 hours a day, by crossing historical data and real-time updates.
The second instead has to do with one greater knowledge of your target. Nowadays, customer purchasing history and preferences are the basis of increasingly targeted campaigns and promotions.
Retail and finance use big data to monitor user activity and preferences
Wanting to broaden the scope of the analysis, it is possible to move from retail to retail to finance: another sector organized around the knowledge of moneywhich has benefited significantly frombig data analysis.
Even the institutions and the aziende Fintechsuch as banking organizations, they constantly update their services starting from a constant study of consumers.
Taking into account the behavioral information above, but also based on the feedback which are left at the end of the most disparate operations.
But big data has also made it possible to improve risk management from different points of view: from the risk of credit to that of marketpassing through the risk operational.
Finally, FinTech organizations and companies often use part of their capital to make investments in the market. And even in this case the use of big data allows us to best orient the individual strategy.
How big data is used in healthcare and entertainment
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In recent years the healthcare has been literally revolutionized by the advent of big data and perhaps it is still early to fully understand how much and how large quantities of information can continue to improve medical care.
Much revolves around the creation and sharing of so-called EHR: electronic medical recordswhich may contain various types of information.
And that, above all, they can come updated and monitored in real timethrough integration with the devices of theInternet of Things (IoT).
L’integration of IoT and big data allows different healthcare organizations to exchange information quickly between them, with several considerable advantages.
The first has to do with the data circulation relating to the individual patient who can now move much more freely from one professional, department or facility to another.
Predictive analytics impacts healthcare as much as entertainment
The second advantage has to do with the research. The sharing and cross-referencing of big data makes it possible to considerably speed up theidentification of models of various kinds.
From those dedicated to salute of the population to those related toincidence of a disease and without forgetting the models that define theeffectiveness of a treatmenta treatment or therapy.
Same big data that enhance healthcare, making ours safer livesthey are making a huge contribution to ours too entertainment.
Monitoring user behavior allows platforms to create a personalized offer like never before: starting from suggestionsuntil we get to advertising.
But, as already expressed previously, thepredictive analytics applied to big data it allows us to go beyond the here and now. This is why entertainment giants are even able to activate up selling or discount operationseven before the user expresses a need.
How many other things does big data know about us?
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In the previous paragraphs an overview of the use of big data by some important industrial sectors was given. But the list of things that big data knows about us certainly doesn’t end here.
For example search engines like Google they know and archive everything that is searched for by all users who use them.
This big data is one extraordinary source of information and can enable marketing activities of all kinds.
It is possible to talk about big data even in the case of smartphone. For example talking about how i GPS allow you to identify the location of each user at any time of day or night.
Finally, space for social networkwhich now make use of big data that directly refers to science fiction of a not too distant past.
Just think that I am capable of profile users starting from their activities and interactions. Even going as far as predict the end of friendships and relationshipswith a worrying success rate.
To know more: Big data, what are they