The document discusses using Amazon Web Services (AWS) to analyze large datasets, or "big data", from an insurance company. It describes using AWS Elastic MapReduce to run Hadoop clusters on the data, performing queries using Pig Latin. One query joins 10 million quotes across insurance channels to measure performance on different cluster sizes. The costs for running the queries on AWS ranges from $1.15 to $2.34 per hour depending on the cluster configuration. The document concludes that early adoption of big data analytics provides businesses a low-cost market advantage to gain additional insights.