FirstRain Releases FirstTweets™, Aims to Glean Business Intelligence from Tweets
FirstRain, an enterprise customer intelligence and analytics provider announced they will be launching a tool to extract business intelligence data from the full 250 million tweets/day firehouse from Twitter. This data is put through FirstRain's patented semantic and algorithm based filters, categorized and delivered directly to users' CRM systems, social enterprise platforms, iOS and other mobile devices. The announcement was made yesterday, and current users will have access to the service starting Wednesday April 17th.
International Data Corporation (IDC) analyst Sue Feldman, an award-winning analyst for the information access technologies market, including search engines, text analytics, structured and unstructured data stated, "We are bombarded with information daily. Most of the information is fairly insignificant, but the sheer volume of what we receive obscures what's important and relevant. New tools like FirstRain's FirstTweets™, may help us cope by surfacing what's important and new and suppressing whats' duplicated or marginal." This underscores business concerns over how much time is spent finding valuable information from the troves of data in the Twitter API.
Even with hashtag searches, customizable lists and other advances made to help users filter data, a Twitter dataset analysis still found that only around 0.1 percent of all Twitter content is actually business-relevant intelligence.
This is what FirstTweets™ aims to remedy, essentially being able to get the benefit out of Twitter without putting in the heavy lifting of posting, cultivating content, scouring numerous twitter search, hashtag and content discovery sites to find the 0.1 percent of relevant information for your business needs. Pretty much getting the benefit of Twitter without having to live a Twitter lifestyle. FirstRain CEO Penny Herscher says, "FirstRain's semantic algorithms filter out 99.9% of all tweets, and yet, that still yields more than 250,000 interesting and revelant business tweets per day."