SAS Social Media Analytics
Business analytics giant SAS Institute Inc. introduced its Social Media Analytics (SMA) solution this spring. SMA integrates with CRM and marketing systems, understands and classifies conversations across 13 languages and archives four years of online conversation history. This hosted solution offers advanced data mining and prediction, sentiment analysis at granular levels and identifies top influencers and trends. A robust system for large enterprises, SMA also creates custom taxonomies and topics, correlates online public data with private internal data and includes a smart sentiment engine that improves over time.
"We have the framework in place, which allows us to bring an enterprise approach to the problem. We can collect and analyze large quantities of data, both structured and unstructured, from internal and external courses. And we can capture and analyze online conversations going back years," said Mark Chaves, director of media intelligence solutions for SAS, in a
Q&A with sascom Magazine. "Looking at trends over time, we help companies not just explain what happened, but to also predict what's going to happen, or create 'what-if' scenarios," he said.
There aren't a lot of tools that can do large network analysis yet, he said, outside of the big analytics vendors like Cary, N. Car.-based SAS.