Case Study: Sony Pictures Networks achieves faster, data-driven channel performance reporting with Phrazor

Sony Pictures Networks leverages AI and NLG for real-time visibility on Channel Performance to support data-driven decision making

Sony Pictures Networks (SPN) needed a better way to analyze complex weekly BARC viewership data and measure channel engagement across genres, demographics, markets, and geographies. Their analysts were manually cleaning data in Excel and producing reports, which made the process slow, limited granular analysis, and delayed decision-making. To address this, SPN turned to Phrazor, a reporting automation platform with Natural Language Generation capabilities.

Phrazor automated SPN’s channel performance reporting by turning large datasets into personalized narrative reports with drill-down insights on competitor performance, program-level trends, ratings, market share, and reach. The solution also delivered reports through emails, newsletters, and PDFs, while connecting directly to Sony servers and historical data sources for trend analysis. As a result, SPN automated 13 genre-level reports per week, cut report generation and circulation time to 30 minutes, and saved 48 man-hours each week, enabling faster and more informed decision-making.

Sony Pictures Networks

Sushma Chopra

Head - IT Applications