Unlike many technological fads, Big Data is not a trend but a management necessity . And it is for any type of organization. These growing data sets that seem to make corporate computer files explode are and will increasingly be the key to competitiveness, growth and innovation. How?
Helping to understand market reactions and their perception of brands.
Identifying the key factors that drive people to buy or desire a certain service or product.
Segmenting the population to personalize action strategies as much as possible.
Enabling new trials and experiments thanks to the availability of unpublished data.
Gaining forecasting capacity, thanks to a history of information so extensive and precise that it allows for simulations that are much more than probable.
Enabling new business models.
The benefits of Big Data are not limited to businesses . Governments and sensitive public institutions, such as hospitals, can identify suspicious activity and recognize patterns that may indicate hong kong whatsapp data fraudulent behavior, preventing it from occurring or identifying the culprit. At the same time, they can personalize and streamline citizen services.
In general, harnessing the potential of Big Data means accessing a never-before-seen amount of information , very quickly and with the possibility of extracting increasingly accurate answers. Artificial intelligence will be able to help make the information collected increasingly relevant and immediately usable, unlocking new potential to support decision-making systems.
Why study Big Data?
The problem with Big Data is not so much its quantity, but the ability to analyse it correctly. In fact, as we have seen, without analysis, data has no value and entails a significant storage cost. Therefore, the most in-demand professionals of tomorrow will be those who can translate large amounts of data into abstract concepts and turn them into concrete strategies.
In particular, the data scientist is one of the most sought-after jobs in the global labour market, and is a figure that has been professionalised for more than ten years. In fact, an article in 'Harvard Business Review' in 2012 entitled: ' Data Scientist: The Sexiest Job of the 21st Century '.
Some aspects of this profession already seem very clear and defined, others are and will be the result of new experiences and experiments. To train as a data scientist, the best courses are those in economics and computer science. The training obtained, however, should be integrated with specific courses such as a postgraduate master's degree , for example a Master in Big Data & Global Analytics or a Master in Business Analytics and Data Strategy .
In addition to Data Scientist , there are at least two other professional profiles related to data analysis that are among the most in demand:
Data architects , i.e. those who design data systems and related workflows.
Data Engineer , able to identify data-driven solutions and develop specific analysis and exploration products.
Working with Big Data is fascinating because it involves leveraging knowledge to generate new insights and perspectives that have yet to be explored.