Case Study: Networked Insights achieves real-time, scalable social analytics with Elastic

Networked Insights Using social data to evaluate marketing campaigns

Networked Insights is a Chicago-based audience-intelligence firm that helps major brands turn social data into marketing decisions. Faced with millions of daily conversations and a legacy system that required lengthy reindexing and downtime, the company needed a way to search and analyze social streams in real time across sources like Twitter, Facebook, blogs, and forums to inform campaign, product and crisis decisions.

By adopting Elasticsearch and streaming data through Hadoop and Storm, Networked Insights analyzes roughly 200 million social conversations a day and expanded its live searchable window from six to thirteen months. The platform enriches data with metadata and implicit signals (sentiment, purchase intent, affinities), slashed reindexing from months to a day and a half, and delivered faster, actionable insights that improved brand positioning, product launches, and crisis detection for clients such as Samsung, MillerCoors, Revlon and Procter & Gamble.

Networked Insights

Brad Burke

CTO, Networked Insights