SAN CARLOS, Calif — January 24, 2012 — Every day, your customer tweets, writes a blog, tags a picture, or posts a video, and your organization may be missing a huge opportunity to capture and capitalize on this data. MarkLogic Corporation, the company powering mission-critical Big Data Applications around the world, today announced that it will host the webinar “Harnessing the Power of Social Media Analytics,” featuring Charlene Li, Altimeter Group. The webinar will take place on Thursday, January 26th at 8:00 a.m. (PT)/11:00 a.m. (ET). For more information or to register, please visit the MarkLogic website.
During the webinar “Harnessing the Power of Social Media Analytics,” Charlene Li, Altimeter Group founder and New York Times best-selling author, will explain how analyzing social media in real-time can help organizations better connect with customers. Fernando Mesa, principal technologist, MarkLogic, will join Li to explain how organizations that embrace Big Data Applications can leverage social media analytics to improve understanding of customers, increase revenue, and reduce the risk of adverse events.
“Social media is a prime example of the velocity and variety associated with Big Data,” said Ken Bado, CEO, MarkLogic. “With social media, data is coming at you at an incredible pace in a number of formats, including videos and pictures. Only Big Data Applications can enable organizations to manage these social conversations in real-time. MarkLogic is the world’s foremost database for Big Data Applications and is the only solution capable of real-time answers to real-time questions.”
The webinar “Harnessing the Power of Social Media Analytics” will be held on Thursday, January 26th at 8:00 a.m. (PT)/11:00 a.m. (ET). To register, please visit the MarkLogic website.
MarkLogic helps customers create value from complex data faster. Our platform ingests data from any source, creating and refining metadata to support powerful models. Customers use these models for deep search and query, building enterprise applications and bringing unique insights to analytics and machine learning.