Big data enables understanding of complex customer sentiments and intent which improves service management. Today it is easier to process customer sentiments and intents through social media and develop social customer relationship management or social CRM. To make this effective it is important to capture the natural language knowledge and rapidly and securely making those insights available to tye best pay off channels.
This podcasts bring together customer analytics services provider Attensity, with its natural language processing technology, and HP Vertica with Big data analytics capabilities to explain how effectively listen to social Web and rapidly gaining valuable insights and actionable intelligence.
Some participants are Howard Lau, chairman and CEO of Attensity, and Chris Selland, vice president of marketing and business development at HP Vertica. The discussion is moderated by Dana Gardener, principal analyst at Interarbor Solutions.
