| Our team doesn't quite fit the mold of "mad scientists" with untamed snow-colored hair in lab jackets tinkering away in basement laboratories. But in all humbleness, our "creations" are still pretty impressive. Take Twitter. We're talking about one of the most powerful social networks in the world, used by more than 325 million users on a monthly basis. And that's how most folks see it. We saw more – much more. We saw Twitter as a pathway to investment opportunities. And we knew there were road signs pointing the way. So we put our inventiveness to work to unlock that amazing potential. We're a "preferred partner" in Twitter's ecosystem – a position that gives us direct, real-time access to the firehose of data that gets created every minute of every day. And we used that special position – and our expertise in a data science known as analytics – to create a social media-driven investing machine. Our database sifts through millions of social media posts per day. But, unlike most data scientists, we put a human face on the numbers. We understand that the consumer is a powerful force when it comes to spending and investing. So we isolate Twitter posts that focus on products, services, brands, and companies that touch consumers' lives. We see their posts. Their posted images. Their excitement. And we see how they "vote" with their wallets... on cool new products, fashion, food, beverages, and more. 
We can hear their stories. We can "listen in" on their conversations. 
And we get critical insights – direct from the group that matters most. 
It's a huge advantage. We spot powerful trends among Main Street consumers – long before the Wall Street pros see and position trades of their own. In order to make consumer insights valuable to companies and investors, we need to carefully curate and nurture data. With such a massive data set to work with (more than 500 million tweets a day) we have a HUGE base to sift through to create value. How do we do it? Take a peek into our research lab today and we'll show you... Click here to continue reading | 
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