Where does the data come from? It comes from a variety of sources, including social mia, cookies, apps, emails, and devices connect to the Internet of Things. So there’s an impressive variety, which also means that the data is not standardiz and does not provide the same type of information.
Processing this data in a traditional database is complicat. After all, it is necessary to rely on modern and powerful technologies that can interpret the heterogeneity of the elements and transform them into relevant knowlge.
Truthfulness
Although the amount of data
available on the Internet is immense, not all of it will be useful. Therefore, it is crucial to determine which data is true and which can provide relevant knowlge at a company’s current moment.
False data is outdat, as it does not correspond to current market dynamics and can lead companies to make erroneous discoveries and decisions. The V for veracity seeks to determine the relevance of what is available on student data the network and show what can actually be us for the company’s planning.
Value
Finally, the data must be able to generate value for the companies that are using Big Data to interpret it. To do this, it is necessary to define the approach to transform part of that mass into useful information.
This is why the professionals assign
This analysis work must be experienc, since it will be their perspective that the other ssl security seals—ones from thawtewill be able to guide the work towards the company’s specific objectives. After all, not all information that is circulating on the network is necessarily useful.
Therefore, extracting value from data is what will add relevant insights to the company and put it ahead of competitors who do not understand how to deal with this last V.
How to put the 5Vs into practice?
In general, the application of the 5 Vs of Big Data This marketing list variety also explains within a company occurs through technologies and tools capable of extracting useful information.
