Dataminr in the News
20 Oct 2016:
“There is some commoditized data coming out of Twitter, from the very well-known commentators or experts, or verified accounts such as CEOs of companies and corporations themselves,” said Justin Manikas, a product and business development director at Dataminr. “That information is available to pretty much anyone who has internet access.” Dataminr’s business is to turn the entire universe of publically available Tweets into real-time actionable information.
“The real differentiated insights come from the rest of the Twitter universe, from the relatively unknown users who are not coming to the table with a financial background,” Manikas said.
30 Sep 2016:
Recognizing the value in the information on Twitter and other social media outlets — and the difficulty in distilling it — a bevy of fintech entrepreneurs has emerged to find the proverbial needle in the haystack. While observers note that the development and utilization of such tools are in the early innings, the methodology is making money for people today.
27 Sep 2016:
Your phone chirps. It’s a text from the CEO. She is asking about the attempted coup in Ankara. How will it affect the supply chain? What is the contingency plan? Unfortunately, the incident happened about 45 minutes ago — this is the first you’re hearing about it.
Social media is transforming corporate security in fundamental ways. Dataminr’s Dillon Twombly details the five trends chief security officers, intelligence analysts and others need to consider when building a social media strategy.
6 Sep 2016:
Dataminr, the leading company that turns real time social media into actionable alerts, has announced this month that France Info, a part of the Radio France company has become the first commercial client in continental Europe.
This agreement is the first of its kind on the continent and signals a growing shift by digital media executives turning to software solutions to strengthen the newsgathering process.
The expansion into continental Europe is a natural development following the high adoption rate in newsrooms across the U.S. and other parts of the world. Journalists find having Dataminr in their workflow to be indispensable in helping them be fast, accurate and differentiated in the increasingly competitive news landscape.
20 Aug 2016:
Early this year a local reporter tweeted that the FBI was raiding the offices of United Development Funding, a sponsor of real-estate investment trusts in Grapevine, Texas. It took other investors around ten minutes to hear the news and to push its shares down by 50%, by which time Dataminr’s clients had been able to short them.
18 Aug 2016:
Dataminr is one of the few companies able to handle the entire publicly available Twitter dataset (known as the firehose), using the platform’s wide swath of data to build smarter algorithms and better real-time alerts for its clients. Today, Dataminr says the learning curve from complete real-time data access over years is key to how it services business verticals in finance, corporate security, news gathering, and within the public space.
16 Aug 2016:
As fast as news is reported now by traditional media outlets, by the time the information hits the headlines, the market has already priced it in. The key is getting ahead of the crowd.
That’s where Dataminr has essentially cornered the market. The company leverages the power of perhaps the most effective real-time user-generated content platform in the world: Twitter.
7 Dec 2015:
“Hedge funds are increasingly using services like Dataminr to gather lightning-quick intel on social media.”
Today, Dataminr specializes in identifying black-swan events, or “unknown unknowns,” as Bailey calls them, before the market reacts. It uses machine learning and cross-references 30 other data sets—from maps to triangulate users’ locations, to patent data, to stocks’ movement—to identify tweets and trends with impact, based on unusual patterns and “clusters” of similar tweets.
Dataminr for News: An industry-changing product that was successfully created through a direct data partnership with Twitter
29 Apr 2015:
After a little more than a year since the launch of Dataminr for News, a product jointly developed by Dataminr and Twitter, we at Dataminr are thrilled that the product has exceeded all expectations.
17 Mar 2015:
Dataminr, the big data analysis tool beloved by journalists and hedge funds, has raised $130 million from an array of high-profile investors. Founded in 2009, Dataminr automatically trawls social media and other information sources using complex algorithms to identify potential significant or newsworthy posts, and then flags them for its clients in real time. It’s used on Wall Street, where having the edge on market-moving news — a fire on a factory, say, or a product recall — can make all the difference.
17 Mar 2015:
“Twitter is a performative tripwire for events that happens around the world.”
For businesses that rely on external data to help make decisions or just know what is going on, this is a potential goldmine, but one that requires a lot of refining in order to extract the most valuable nuggets and to make the nicest ingots.
And that is where Dataminr comes into the picture, with algorithms that are used to filter social media services to pick up signals for developing stories.”
17 Mar 2015:
Dataminr Inc., which analyzes tweets and other information streams to create alerts for traders, reporters and government agencies, has raised $130 million from banks and institutions in a new private round…
Dataminr’s new investors include mutual-fund firms Fidelity Investments, which led the round, and Wellington Management Co., along with Credit Suisse Group AG’s CS Next Fund, Goldman Sachs Group Inc. and Glynn Capital Management, the company said. Venture-capital investors Venrock and Institutional Venture Partners also added to their stakes in the company.
17 Mar 2015:
Ted Bailey, Dataminr CEO & founder, explains how his company is able to profit from Twitter’s enormous data base.
17 Mar 2015:
I am excited to announce today that Dataminr has raised an additional $130 million in growth capital, a significant milestone on our path to becoming the world’s leading real-time information discovery company.
In securing new investments from leading members of the financial industry, institutions that range from Fidelity, to Wellington, to Credit Suisse, to legendary financial industry veterans like John Mack, former CEO of Morgan Stanley and Vikram Pandit, former CEO of CitiGroup, Tom Glocer, former CEO of Reuters; Noam Gottesman, founder of the hedge fund GLG; and Nicolas Berggruen, founder of the Berggruen Institute on Governance, and additional financial institutions including WorldQuant Ventures, Glynn Capital and Goldman Sachs; our company has the backing of some of the world’s premiere institutional and individual investors.
20 Nov 2014:
Dataminr’s systems categorize and analyze every single tweet in real time, weeding out spam and comparing information against news feeds, market prices, weather patterns and other data to determine its significance. The systems also check if a particular user has been reliable on certain topics in the past.
On Sept. 2, when independent journalist Brian Krebs tweeted that Home Depot “may be latest credit card breach victim,” Dataminr’s systems rapidly identified it as a “Notable Signal” for its clients.
The alert went out to subscribers—which include 60 banks and hedge funds—a full 15 minutes ahead of financial news wires and before a 2% decline in Home Depot’s share price.
“There is no way to ignore social media as a data set anymore,” said Ted Bailey, Dataminr’s chief executive. “A feed like Twitter has so much information, and there is certainly value hidden within it.”
23 Sep 2014:
Dataminr, the leading real-time information discovery company, announced today the North American commercial launch of Dataminr for News, a product first announced earlier this year with CNN and Twitter. The Dataminr for News commercial release provides journalists with the most sophisticated technology for detecting and verifying breaking information on Twitter in real-time, and includes the launch of a new mobile application which delivers alerts to journalists wherever they happen to be. Dataminr for News also includes an integration into TweetDeck, a Twitter product widely used by many journalists across the industry, enabling Dataminr for News users to seamlessly receive their alerts in a dedicated TweetDeck column.
23 Sep 2014:
Earlier this year, several producers at CNN received an alert from a new digital news gathering tool that they were testing: A teenager in Los Angeles had posted a tweet saying that the pop music heartthrob Justin Bieber had been arrested.
CNN’s Los Angeles bureau followed up on the tip by calling the appropriate local precinct. The police confirmed that Mr. Bieber had just been arrested on burglary charges, but wanted to know how the cable news network could possibly have known that.
The answer is Dataminr, a software tool designed specifically to analyze billions of Twitter postings for patterns that could indicate breaking news. On Tuesday, Dataminr becomes commercially available to news organizations, some of which — like CNN and Gannett — have already been testing the software.
27 Aug 2014:
A passerby notices a fire at a refinery in Louisiana and tweets a picture. Eleven minutes before the news hits the wires, a tech startup called Dataminr fires off an alert to subscribers in the finance industry, who trade ahead of the news.
One client is known to have made legendary amounts of money trading on two alerts—one about the Boston Marathon bombing and another indicating that an AP tweet of a bombing at the White House, which had sent the market tumbling, was a hoax. Many of Mr. Bailey’s clients say his service pays for itself in a single trade. And, yes, it’s easy to see how a tweet that alerts a trader to an event that shortly will cause a big market move could be almost infinitely valuable.
Dataminr is dependent on its deal with Twitter providing live access to the Twitter “fire hose” of tweets going back to when Twitter’s service started. Mr. Bailey admits to hearing from people who say of Dataminr, “What a great idea. What a great company, but if Twitter dies, who cares?”
“Twitter is not going to die,” he says. Dataminr is daily evidence of the value hidden in its data stream, a value not appreciated in the Facebook-style user-engagement metrics that Wall Street applies to the company. “What makes Twitter Twitter that other data sets aren’t?” he asks. The ability to “surface unknown unknowns”—to bring to light new and unpredicted facts about the world, tapping users’ willingness to serve as on-the-ground “sensors” for breaking events.
Dataminr is already a success. The company’s clients represent more than $500 billion of assets under management. But its business model suggests almost infinite possibilities.
8 Jul 2014:
This year’s AlwaysOn Global 250 winners represent leadership in global innovation, developing software and hardware solutions that are ushering in a new era of global prosperity. Each company was selected based on a set of five criteria: innovation, market potential, commercialization, stakeholder value, and media buzz.