Why Big Data mandates multi-language text analytics capabilities
Big Data and the Digital Age have created an explosion of web and social content, real-time feeds and corporate data across numerous languages and channels. Done right, access to and analysis of this global multilingual data can add tremendous value to existing text analytics solutions and create compelling new revenue opportunities.
Today, however, very few text analytics companies have seized these opportunities. In fact, according to the 2012 Gartner analyst report, "Who's Who in Text Analytics," only 34% of the text analytics companies profiled support multiple languages. This dynamic introduces a Big Data, Big Language™ dilemma for text analytics companies – and a competitive disadvantage.
Download our free white paper to learn how SaaS machine translation can quickly and affordably add multi-language support to text analytics solutions, and how it’s serving as a game-changing competitive differentiator for leading global brands.