Factory data reboot

Personal or identifiable, public or private, provided with the consent of the user or not, the data no longer has only the functions of power for the states, but especially the unprecedented economic model for technology companies information. Our data serves as a source of the economic scheme carried out by all other structures for which we sign the contract by accepting the general conditions of use. The latter are quite indiscriminate and not subject to discussion, which leads to the actual situation, or we deprive a significant part of our personality. Then our data is combined, exploited and often resold in exchange for an illusory reward, when we, the user, are both raw materials, product and consumer.

Data has become a top priority for businesses of all sizes. As the technology of data collection and analysis spreads, the ability of companies to contextualize data and get new ideas grows. The Internet of things and artificial intelligence are two of the most important tools for collecting and analyzing data, whether for a better understanding of everyday operations, business decisions or a better understanding of their business customers.

Data reboot. Customer data is an interesting area. From consumer behavior to predictive analytics, companies regularly collect, store and analyze large amounts of data on their consumer base every day. Some companies have even built a whole business model based on customer data, regardless of whether they create targeted advertising, wherever they are sold to third parties. Customer data is a business in itself. Here are some examples of how companies collect customer data and what they do with them. How do enterprises collect our data?

Enterprises enter data in many ways from many sources. Some processes are technical in nature, while others are more deductive (although sophisticated software is often used in these methods). In the end, however, companies use many sources to collect and process customer data by metrics, from demographic to behavioral data. Customer data can be collected in three ways: by directly requesting customers, indirectly following customers, and adding other sources of customer data to existing corporate files. A solid business strategy requires all three. Companies can extract data from almost anywhere. The most obvious places are consumer activity on their sites and pages on social networks, but there are more interesting working methods.

In addition to collecting data, companies can also buy them or sell them to third parties. After entering this information is regularly transferred to another owner in the data market. Transform data into knowledge. The collection of large amounts of data poses the problem of sorting and analyzing all this data. No one can reasonably sit and read customer data line by line all day, and even if he could, he probably wouldn’t do anything. Fortunately, computers are much better suited for this type of work than people, and they can work 24 hours a day, 7 days a week and 365 days a year without interruption. With the spread and improvement of machine learning algorithms and other forms of AI, data analysis becomes an even more powerful area, allowing you to break a sea of ​​data into manageable pieces of effective information. , Some programs report anomalies or offer recommendations to decision makers based on contextualized data. Without such programs, all data entry in the world would be completely useless.

The cloud is so adorned with all virtues that remember that justified unwillingness of one or the other is never worthless. According to data, 97% of enterprises use cloud services, public or private, and 59% use a hybrid model. Nevertheless, the risks and difficulties have been proven: every fourth company has already stolen the data, every fifth has already seen an attack on the public cloud. However, 83% store confidential data in a public cloud, and only 69% trust it from a security point of view … The question of data responsibility remains unclear. According to, 69% of enterprises believe that the responsibility for data protection, confidentiality and compliance lies with the cloud service providers. And 51% believe that the cloud service provider is responsible for backing up the downloaded volumes to the cloud!