For over 7 years we've been known as Lexalytics. I'll be honest, I didn't pick the name so I can't take credit. However, I often get asked what it means or where it came from. To us, it's pretty simple. You take Lexical: Main Entry: lexical Function: adjective Date: 1836 1 : of or relating to words or the vocabulary of a language as distinguished from its grammar and construction 2 : of or relating to a lexicon or to lexicography and add Analytics and you get Lexalytics. Since we analyze text-based content, or words, to provide additional analysis to customers, it was the perfect name. Lately, I've seen a little spike in other "lytics" popping up at conferences and online. For example, Social Analytics. Referred to as Socialytics. Good one. Today I saw Community Analytics - Communilytics. I'm certainly not claiming Lexalytics kicked off the world of "lytics" - that'd be silly - but what does encourage me is the fact that businesses and organizations are investigating different ways to analyze information. There has been a major transition in the past 5 years of content from scanned, stored and printed to blogged, posted and shared. As more and more channels are used to create and disseminate content, enterprises will need to explore all the various ways analytics will play into their infrastructure and applications. Some analytics are based on pages and pages of documents published in very specialized industries while some are comments and posts on very public domains. Whether you are analyzing Pharmaceutical data like our friends at Pharmalytics or simply exploring tweets and social content (Twitterlytics, perhaps?), there is a lot of power and information to be found within content. Try it for yourself. You may find a new form of "lytics" you can share with us all.