To successfully compete for the fleeting attention of their customer base, content producers and publishers today need to personalize content. To tailor your offering based on the vast number of data sources ranging from event data (e.g. viewing behavior, search history) to social media and third party sources, you need a data platform that can help you analyze data holistically and develop advanced predictive models that increase engagement and customer lifetime value (LTV).
Use customer behavior data and profile information to predict next best offers and provide a more personalized experience to drive customer engagement and LTV.
Analyze how social, advertising, competitor moves, product launches or news stories affect the brand.
Analyze demand and inventory data such as segmentation, attribution, and cost to determine prices and set discounts.
Databricks takes the pain out of cluster management and puts the real power of these systems in the hands of those who need it most: developers, analyst, and data scientists are now freed up to think about business and technical problems.