Big data is useful in almost all economic sectors.

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The large volumes of data collected and analyzed by Big Data create various opportunities for any type of business. Some of the sectors where it can be applied are:

Education sector.
Banking or financial sector.
Health sector.
Public administration sector.
Industrial sector.
Marketing as a complement to Big Data: What is Big Data Marketing?
Big Data Marketing is a new tool applied to Digital Marketing projects the usage of facebook database and processes , in which techniques and technologies are used to collect, analyze and process large sets of data that allow the extraction of useful information for the creation and implementation of marketing strategies and actions that positively impact the commercial objectives of companies and/or brands.

The valuable information provided by Big Data Marketing is collected from the analysis of user behavior on websites, social networks, blogs, search engines, among other spaces and applications. The result of the analysis of user behavior and actions gives companies the possibility of creating consumer profiles and identities that allow them to fine-tune content, advertising and communications to make them much more effective.

Big Data Marketing Applications: Advantages of Complementing Marketing with Big Data
The most notable use of Big Data in Marketing for the data science career is in commercial and marketing campaigns and strategies, however, this tool has many more uses that provide great value to companies.

Below, learn about some of the applications of Big Data Marketing and its advantages :

Creation of digital marketing strategies: Big Data offers us the possibility of creating strategies that target personalized audiences, that is, thanks to access to valuable information such as tastes, trends and interests, actions and campaigns can be generated that are more accurate and connect much more with the needs of customers.
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Analysis and measurement of results: just as it allows for planning strategies, big data also provides real-time information on how these actions work, making it possible to analyze and measure results and correct those details that are not performing effectively.

Identification of new business opportunities: As we mentioned before, big data analysis optimizes decision-making and the creation of strategies, through which innovative products and services can be identified that allow reaching new market niches or building loyalty among segments that already have experience with the brand or company.

Avoid customer loss: In sales scenarios, Big Data analysis provides information on processes that need to be optimized, for example, on websites or social networks, providing opportunities for improvement that allow enhancing the user experience by preventing abandoned purchases or order cancellations.

Prevents risks: Just as Big Data provides information about new business opportunities, it also has the ability to help prevent risk situations or scenarios that represent dangers or fraud for companies.

Market trends: thanks to the analysis of unstructured data found on social networks, for example, brands can know in real time how audiences and consumers react to their services or products.

Predictions for planning: the possibility of accessing large amounts of data allows the application of methods and techniques that help predict the development and success of a business, product or service, which will contribute to effective planning in companies.

Support in SEO optimization: the application of Big Data Marketing in this field serves to study and analyze customer behavior, and the actions of companies or brands to attract and retain them.
Professional profile of a Big Data expe