Case Study: a leading media conglomerate company achieves real-time automated data journalism at scale with Phrazor

Media Conglomerate automates data journalism to instantly convert raw data into numerous rich news articles with Phrazor

A leading media conglomerate company in India was struggling to manually produce and update large volumes of data-driven journalism across its print and digital properties. Its editorial teams spent significant time on routine stock, bullion, sports, and election coverage, which slowed publishing, limited real-time updates, and increased costs and the risk of errors. It turned to Phrazor for an AI-powered content automation approach.

Phrazor implemented natural language generation reports for bullion prices, stock updates, sports commentary, and election coverage, automatically generating multilingual, hyper-localized articles and updating them in near real time. The results included daily coverage for 37 cities, 180 stock articles with six updates per day, 480 IPL sports articles, and 1,071 election articles for six states, helping the publisher reduce manual effort, improve accuracy, boost SEO and traffic, and scale content production efficiently.