Tag Archives: Big Data

Mattermark raises $7.3M at a $42M valuation

Commentary

The San Francisco-based data mining startup Mattermark has raised another $7.3 million in a series B funding round, which values the company at $42 million. Created by Danielle Morrill, Mattermark’s software compiles and analyses various kinds of data from public internet sources in order to provide VCs with business intelligence about potentially lucrative startups. Similar to how Google works, Mattermark organises unstructured data found on the web and uses techniques like distributed web crawling, deep neural networks and natural language processing to reorganise the flow of information. It then uses the information gathered to build comprehensive profiles of companies. The service is useful for VCs who are looking for potential investment opportunities and for tracking existing startups.

You can read about the funding here.

Attivio closed a $31 million financing round

Commentary

Last week, the Data Dexterity Company Attivio, founded in 2008, announced it closed a $31 million financing round. It has now raised $102 million in total funding from its investors, which include Oak Investment Partners, General Electric Pension Trust, Tenth Avenue Holdings, and Per-Olof Soderberg. Attivio announced a strong fiscal year with a 150% increase in license bookings, 100% increase in license revenue, and a 95% renewal rate year-over-year. The company provides a platform that helps companies make sense of big data. It has a software that analyses structured data, such as business intelligence and performance metrics, and unstructured data, including email, documents, media, web. It provides unified information that is insightful, understandable and quantifiable. With a single query, a user can have access to accurate and complete information about company performance. Notable customers include Citi, Qualcomm, UBS, GE, and Thermo Fisher Scientific.

You can read more about the funding here.

Delivering Success

Commentary

There’s no stopping the upward trajectory of Delivery Hero, the popular Berlin-based online food delivery service. Its network covers more than 70,000 restaurants across 23 countries in five continents. What makes Delivery Hero interesting is its data-driven approach. The company relies heavily on big data and analytics to find out about people’s habits when it comes to eating and ordering takeaway food. By analysing different consumer behaviour data, they improve their customer offerings and stay one step ahead of the game.

To date, the company has reached a $1 billion valuation and raised a total of $656.7 million in funding, including a $350 million Series G received today from Insight Venture Partners, Kite Ventures and Vostok Nafta Investment Ltd. Read about the story here.

 

The war on big data begins

Commentary

The war on big data begins

Make no mistake about it, the war on big data is officially on. Last week, Cloudera, a Hadoop company from Palo Alto, California, has raised $900m in its recent venture capital fundraising round. A whopping $740m came from Intel, while $160m came from T. Rowe Price and Google Ventures. In conjunction with the funding, Intel has now become Cloudera’s largest strategic shareholder, with an 18% stake in the company.

While $900m is a huge amount of money, the bigger news is the new partnership between Cloudera and Intel. It is interesting to note that Intel used to have its own Hadoop distribution but recently discontinued it in favour of Cloudera. According to Brian Krzanich, Intel CEO, the goal is to “build a world-class, enterprise-ready platform that everyone can build their big data solutions from.”

Together, Cloudera and Intel are a formidable partnership, with Intel leveraging Cloudera’s sophisticated Hadoop distribution, and Cloudera benefiting from Intel’s technological resources and strong sales presence in India and China. With Intel by its side, Cloudera can now compete head-on with other players such as, IBM, Oracle, SAS and Teradata, all of which have ambitions to dominate the big data sector.