Big Data in video analytics is a powerful tool for video playback services because it enables the acquisition of more and better data about consumer behavior and the handling of vast volumes of information in an agile and effective manner.
At JUMP DATA-DRIVEN VIDEO we offer a range of products and services aimed at optimizing this tool and using it to enhance your project. Keep reading to discover more.
The importance of Big Data in video analytics: challenges to overcome
In a dynamic and competitive environment, video services need to constantly overcome new challenges. For instance, they must attract and retain new users, increase engagement and content consumption time, improve the monetization of productions, and offer increasingly personalized experiences tailored to each user.
To achieve these objectives and successfully overcome multiple challenges, video playback services need a comprehensive and powerful platform like the one offered by JUMP Insights. In this platform, Big Data in video analytics is one of the most important tools. This is because it provides access to valuable data for process analysis or measuring business results, among many other crucial aspects.
The opportunities of Big Data in video analytics
Why is Big Data so important in video analytics? In general terms, it makes the analysis of vast amounts of data from video analytics possible, which would otherwise be impossible to process at the speed required by the current competitive market.
Some of the opportunities offered by Big Data in video analytics include:
Cost reduction
The tools provided by JUMP enable significant cost advantages by reducing the investment needed to analyze large volumes of data. Moreover, the speed in the task allows for the exploitation of more business opportunities that were previously inaccessible.
Optimization of decision-making processes
One of the most significant advantages of Big Data in video analytics is its ability to maximize the use of information collected about users for making new business decisions, and to do so faster. As mentioned earlier, in a highly competitive scenario, this capability is crucial for the growth and scalability of your project.
New personalized experiences
Big Data in video analytics is a unique opportunity to design new products and create video content that directly satisfies user needs, with an increasing level of personalization.
Data and personalized experiences
By understanding more about consumer preferences and experiences, it’s possible to create alternatives with higher acceptance levels that can be monetized more quickly.
At this juncture, tools like JUMP Personalizer, an Artificial Intelligence (AI) recommendation engine that delivers contextually and individually tailored content suggestions to each user profile based on their needs, exemplify an ultra-personalized experience born from capturing and analyzing vast amounts of data.
JUMP Insights, a business data management platform designed specifically for video service players, offers a comprehensive and unified view of video data, along with advanced solutions for customization, retention, and optimization. With JUMP DATA-DRIVEN VIDEO, video service providers can harness the power of data to drive business outcomes.
