Video analytics and advertising analytics
Posted: Sun Mar 16, 2025 9:11 am
Social Media Analytics also enables highly precise targeting and the creation of truly data-driven marketing and content campaigns .
Ultimately, the benefits for those involved in marketing, communications, advertising, and Customer Experience, as well as those who monitor behaviors and preferences, are immense, while always respecting people's privacy.
Why do Social Media Analytics?
By 2022, the amount of data created worldwide will approach 100 zettabytes. A chinese overseas asia database zettabyte is 10 to the 21st power (10^21): a value that's hard to even imagine and one that's destined to grow in the coming years.
Most of this data is unstructured, meaning it is not organized into rows and tables , but rather in the form of text, audio, videos, images, maps, and other formats.
Today, we have the ideal conditions to be able to extract value automatically and massively even from unstructured data for a number of reasons:
The evolution of deep learning algorithms that, through artificial neural networks, simulate the functionality of the human brain and are capable of processing highly complex data not expressed in tabular form. Computer vision and natural language processing facilitate the analysis and interpretation of large amounts of unstructured data.
Ultimately, the benefits for those involved in marketing, communications, advertising, and Customer Experience, as well as those who monitor behaviors and preferences, are immense, while always respecting people's privacy.
Why do Social Media Analytics?
By 2022, the amount of data created worldwide will approach 100 zettabytes. A chinese overseas asia database zettabyte is 10 to the 21st power (10^21): a value that's hard to even imagine and one that's destined to grow in the coming years.
Most of this data is unstructured, meaning it is not organized into rows and tables , but rather in the form of text, audio, videos, images, maps, and other formats.
Today, we have the ideal conditions to be able to extract value automatically and massively even from unstructured data for a number of reasons:
The evolution of deep learning algorithms that, through artificial neural networks, simulate the functionality of the human brain and are capable of processing highly complex data not expressed in tabular form. Computer vision and natural language processing facilitate the analysis and interpretation of large amounts of unstructured data.