SOURCE: DataSift


February 28, 2012 03:01 ET

DataSift Unlocks Insights From Historical Twitter Data

Big Data Meets Social Data, Mining Two Years of Twitter's Public Tweets; Cloud-Computing Platform Democratizes and Simplifies How Enterprises Can Create Insights From Social Data

SANTA CLARA, CA--(Marketwire - Feb 28, 2012) - STRATA CONFERENCE -- DataSift (, the social data platform company, today launched Historics, a cloud-computing platform that enables entrepreneurs and enterprises to extract business insights from Twitter's public Tweets (, dating back to January 2010.

With an estimated 250 million Tweets per day, Twitter is the fastest, simplest and easiest way to communicate what is happening right now. With the launch of DataSift Historics (, companies can now tap into both real-time and over two years of historical Tweets to filter and extract insights and trends that relate to brands, businesses, financial markets, news and public opinion. DataSift will be demonstrating Historics at the O'Reilly Strata Conference in Santa Clara, booth #615, on February 28 - March 1, 2012.

DataSift's new social data platform creates insights from social data and handles the heavy lifting in the social web: aggregating public social data, enriching it, filtering and delivering it into social media monitoring, business intelligence and CRM applications. DataSift enriches every Tweet with details including sentiment, topics, web-links, location and social media influence -- giving companies an unprecedented capability to filter social data, extract meaning and create insights.

Historics -- Social Insights made simple

Through DataSift's platform, companies can filter and interpret vast volumes of social data to help create insights for their business. For example:

  • Social media monitoring companies can analyze trends in customer conversations and brand mentions;
  • Business Intelligence companies can correlate point-of-sale data with social data to identify trends in product sales and market sentiment;
  • Marketers can evaluate conversations around marketing campaigns and adjust key-messages and offers based on feedback;
  • Financial organizations can analyze popular sentiment, trends and indicators relating to businesses and economic events;
  • News and research organizations can surface new trends around historic and popular culture events.

Comments on the News

"The sheer volume of data being produced by Twitter represents a huge challenge for companies trying to extract insights from past events," said DataSift CEO Rob Bailey. "Historics solves this problem, providing businesses with a platform to intelligently filter and extract meaning from two years Twitter data. Demand is so strong, almost a thousand companies -- including 100 of the Fortune 500 companies -- have already joined the waitlist for Historics."

"DataSift is focused on simplifying how businesses can extract insights from the petabytes of social 'Big Data' being created," said DataSift Founder & CTO Nick Halstead. "With Historics, we are now democratizing the Big Data industry to enable entrepreneurs and enterprises to easily create socially-intelligent applications. No data-scientists required, no Hadoop expertise needed."

Pricing and Availability

Historics is available today as a limited release to existing customers and is currently scheduled to be generally available in April 2012. Historics employs DataSift's on-demand pricing model, where costs depend on the complexity of analysis and timeframe, available either as a corporate subscription or pay-as-you-go service. For more information, and to sign-up, visit

About DataSift
DataSift Inc. is a social data platform company, enabling enterprises and entrepreneurs to aggregate, filter and extract insights from billions of public social conversations in Twitter, Facebook, and millions of other sources. As one of only two companies in the world with a license to make Twitter data commercially available for non-display purposes, DataSift provides brands and companies with granular insight into how they are perceived by social customers. DataSift's technology allows users to capture insight that fits user-defined criteria -- including sentiment, location, and social media influence, plus any content that is represented as a link within a post. DataSift is a self-service platform with a flexible pricing scale that makes enterprise-level data accessible to companies of any size. DataSift has offices in San Francisco and Reading, U.K. It has received investment from Roger Ehrenberg from IA Ventures, a fund that is focused exclusively on Big Data, and Mark Suster from GRP Partners. For more information, please visit

Contact Information

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