Modern companies produce huge amounts of data every day. Thanks to electronic data processing (PED) , the recording and organization of information is no longer a real problem. Customer data can be recorded in databases and staff management can be automated. To do this, simply provide enough data to the computer and sophisticated algorithms will take care of the rest..
But with increasing connectivity and increased data flow, new problems appear. Several workers must be able to access the same database and, if possible, at the same time. No repetitive data must be recorded and must be traceable at all times. But above all, they need to be protected against possible losses caused by hardware failure or malfunction, and against hackers and other data thieves on the internet. And finally, the legal aspects must also be taken into account, that is, the retention periods, the informed consent for the storage of personal data and the appointment of data protection delegates.
The complexity of this issue has motivated the development of a new discipline within the field of information technology: data management . Likewise, the field of research is also progressing in this matter. Data Science or data science is the new branch of science dedicated, among other things, to the correct classification and linking of data, as well as to the effective search in large databases..