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Digital content: what are they and what are they for?

The era of Big Data and artificial intelligence has only just begun and offers us a world of possibilities yet to be explored.

Train in Big Data
Currently, companies are looking for professionals who have previous experience in areas such as data management, advanced analytics or artificial intelligence. People who can also contribute experiences from some sectors of activity in specific areas of the business, or who have developed capacity in the field of research,

The importance of studying big data and being

able to address different topics related to data management or storage, its processing, visualization and advanced analytics, predictive algorithms, as well as machine learning to solve day-to-day problems in building site becomes key and one of the levers that can produce the greatest impact on any business.The main connection between eting is to obtain results and indicators immediately and obviously that are also relevant in a world where users do not consume content when it is not related to their lifestyle or daily activities.

Reading and interpreting data will be the most important thing to achieve an effective impact. With them we will focus on the three pillars that make this practice unique.

Data accumulation

 

Variable analysisv

This important company with a presence in more than . Countries has opted for digital content marketing strategies in recent years. This has helped them capitalize on a younger. Audience and increased purchase intention for their product.

To launch the campaign for a new toothpaste, they determined. That they wanted to reach a younger audience and that to do so their advertising. Message could not remain only in traditional media such as press and television.

 

Data accumulation
Data accumulation is not only about having huge databases or having the right programs that have the capacity to support them. It is about the accumulation of data that will really be useful for your  brand requires different types of data, making the capture and tabulation of data in a generic manner only entails a greater volume of work and a high expenditure of resources at the purification level.

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