The media industry is expected to exceed $40 billion by 2020, growing at an average annual rate of 10.3%. Consumers today are streaming and sharing more content than ever before, which puts an emphasis on Data Science in Media and Entertainment. Massive data is generated through various streaming channels which opens opportunities content planning, bundling, and distribution. Netflix and Amazon have been using curated content effectively for some time now, suggesting what shows we’d like to watch, and what products we’d like to buy based on the past trends. Used effectively, these types of analytics can help acquire instant “audiences” for new shows and products.

Product Innovation
Product Innovation
With so much data being available through various sources, map the consumers better and deliver more customized content.
Product Innovation

Marketing & Content Discovery
Marketing & Content Discovery
Scenario analysis and content experiments can be done in efficient ways by content discovery teams in the media.
Marketing & Content Discovery

Sentiment Analysis
Sentiment Analysis
Map customer sentiments by analysing data from online reviews, Social Media chatter, Call Centre transcriptions.
Sentiment Analysis

Content Recommendation
Content Recommendation
Recommend right content to customer using ML/AI recommendation engines in order to increase customer loyalty.
Content Recommendation

Advertisement Revenue
Advertisement Revenue
Analyse data to add premium value to your advertising offerings through addressability, interactivity.
Advertisement Revenue

Target Marketing
Target Marketing
Create the best offers for relationship marketing. Analyse Customer Preferences, Lifetime Value, Brand Loyalty.
Target Marketing

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