Real- time Analytics

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Real-time prediction based on current trends and behaviors from all data sources is key. Predictive modeling in particular will aid media and entertainment companies not just by allowing them to react to consumers in real time, but also to anticipate their behavior, influencing long-term investments, for instance, what kinds of movies in which consumer micro-segments will be popular two years from now. In addition, companies can make predictions about which customers are more likely to view a given type of content, and what device they will be using when viewing it.

Benefits for the company

Real-time analytics algorithms provide the output extremely fast. Therefore, crucial decisions and improvements to the content may be carried out immediately. Utilizing real-time analytics gives the company more chances to win the race with the competitors.

Feasability

High

Type of expertise/ AI domain

Big Data Analytics

Internal data required

Customer Activity Data

One Response

  1. Real-Time Predictive Modeling for Anticipating Demand and Segmentation: In the constantly evolving media and entertainment sector, looking back at consumers’ past activity often isn’t a good indication of what they will do next.

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