Brief description of the technology
The concept of Big Data applies to all information that, due to volume and complexity, cannot be processed through traditional procedures, so it must be processed through the use of specific tools to work with a large volume of data generated by multiple sources (social networks, APIs, emails, sensors, etc.).
Thanks to the massive use of the internet and emerging technologies such as IoT. The amount of data being created and stored globally is almost inconceivable, and it continues to grow. This, together with the technological capacity of data storage and computing capacity, opens up the opportunity to obtain a key vision in different sectors, through the application of advanced algorithms that allow, among other things, to obtain predictive models.
Benefits of your
Incorporation into the company
On a general level, any well-structured company can use Big Data to optimize its business processes, for example, in stock optimization, in the definition of delivery routes or in the supply chain, saving downtime and increasing the production capacity of manufacturing companies.
Some of the challenges that companies solve with Big Data are: modeling real risk in decision-making; Churn rate analysis, allowing us to know relationships that shed light on why subscribers stop using the services offered by a company and recommendation engines, how much of the use of user data to predict which products to recommend.
Examples of
Enterprise Application
Some examples by sector are:
Tourism
Analyze historical data and create dynamic predictive models based on meteorological parameters.
Marketing
Better understand customers, their behaviors and preferences
Telecommunications
Improve the responsiveness and speed of your systems
Tourism
Analyze historical data and create dynamic predictive models based on meteorological parameters.