As a world media conglomerate housing over 37 distinct manufacturers, Condé Nast confronted the problem of delivering focused shopper experiences throughout their manufacturers amidst fragmented knowledge silos. To beat this hurdle and stay aggressive, they turned to Databricks — considerably accelerating time-to-insights and decision-making. Furthermore, the flexibility to report constantly on a world scale improved knowledge accuracy and operational effectivity. With Databricks, Condé Nast not solely optimized its infrastructure to the tune of $6 million in value financial savings, but in addition achieved larger agility in delivering customized content material experiences to a various viewers, enhancing shopper engagement and loyalty.
Navigating knowledge silos within the age of personalization
Because the media business evolves, so do shopper expectations. Condé Nast — a powerhouse on the planet of media and leisure with international manufacturers like Vogue, The New Yorker, and GQ — realized the significance of delivering tailor-made content material and experiences to its viewers. Nonetheless, their present knowledge infrastructure was fragmented, hindering their skill to research knowledge effectively, make knowledgeable choices, and supply customized content material at scale. To stay aggressive and related in a dynamic media panorama, they wanted an answer to centralize their knowledge and speed up their data-driven capabilities. Condé Nast acknowledged that centralizing knowledge was the important thing to unlocking a brand new degree of personalization and effectivity. “We struggled to search out methods to interrupt out of our knowledge silos throughout the group,” mentioned Nana Yaw Essuman, Senior director of information engineering at Condé Nast.
Information Intelligence Platform ushers new options that delight clients
Condé Nast selected the Databricks Information Intelligence Platform to raised execute their imaginative and prescient of offering a unified view of their shoppers. “The flexibility to leverage the very same knowledge that has been collected by our knowledge pipelines permits for extra constant reporting in a world style,” mentioned Essuman. The lakehouse structure supplied extra than simply the democratization of information. It has empowered their knowledge crew with a complete suite of instruments, together with Unity Catalog and Databricks SQL, which permits them to securely govern knowledge entry and streamline evaluation and decision-making processes throughout the group, empowering their groups to maneuver quicker and smarter. With this newfound agility, Essuman’s crew is ready to reply extra rapidly to ever-evolving market traits and ship content material experiences that resonate with their numerous international viewers.
Personalised content material supply at scale
Since adopting the Databricks Information Intelligence Platform, Condé Nast has harnessed the complete potential of their knowledge for analytics and AI whereas decreasing annual infrastructure prices by roughly $6 million. This not solely bolstered their monetary well being but in addition empowered them to reallocate sources for crafting customized shopper experiences globally. Essuman concluded, “Databricks helps us perceive the client from a single view so we will present probably the most compelling shopper expertise.” With a unified knowledge view and sturdy analytics and AI instruments at their disposal, Condé Nast’s knowledge crew can now simply create customized content material experiences that improve shopper choices, fostering larger engagement and loyalty.
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