Examples of the use of big data

[tongfkymm44]

Big data can be used in many aspects of everyday life. For example, in the e-commerce sector , anyone who has ever made a purchase in an online shop is familiar with the phrase “customers who bought product A also bought product B”. These recommendations are based on the evaluation of millions of data from other customers.

Other areas of application include :

Medical research : By evaluating big data, scientists can find the best solutions and therapeutic plans for their patients.
Industry : By using data about their machines, companies can increase productivity and work more sustainably.
Economy : Big data allows companies to better understand their customers and better tailor their offerings.
Energy : In order to adapt energy consumption to individual needs, it is necessary to know them. The collection of consumption data enables a sustainable energy supply.
Marketing : Big data in marketing is often used for targeting purposes. The aim is, above all, to improve customer relations and increase conversions in different strategies.
Fighting crime : Collecting and analysing big data is also useful for government realtor email database and state security (for example, to combat terrorism).
Criticism of big data
First and foremost, it is about protecting people's privacy . When it comes to optimising marketing strategies, large databases offer great potential for companies and brands, since, when used to segment their audience based on their behaviour , they can be used to create much more precise user profiles. And this is considered in itself an attack on the user's privacy . That is why, if you are dealing with big data, you must inform on the website (Data Protection section) about the use of personal data collected from users.

Another critical point is the “ data autocracy ”. Of course, there are also so-called “big players” in this area, companies that have been working with and profiting from large databases for years (Google and other search engines). In this way, a few companies monopolise the ownership of this data . This is precisely what is criticised, as well as the danger of large-scale data abuse. Without clear rules regarding data protection and the anonymity of the data being evaluated, the possibility of misuse of user data cannot be ruled out.