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Birst's Vision About its Capital and Growth Trajectory

By SiliconIndia   |   Monday, 14 May 2012, 14:12 Hrs
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Birst, a bigdata startup based out of San Francisco recently raised $26 million in its fourth round of funding. The grant came from VC firm Sequoia Capital with additional participation by prior investors Hummer Winblad and DAG Ventures. With this newly raised capital the company aims to accelerate the growth and product development in the field of BI.

Birst had earlier investments from Sequoia in the form of Venture Fund. This time Sequoia funded for growth and development. These kinds of Growth Fund Investments target the companies which already have a number of customers and are driving revenue, scaling their operations and have proven business models. 

“We are growing very rapidly and the market for business analytics is super hot.  As a result, we had significant interest from the venture community” said Brad Peters, CEO and Co-Founder of Birst. Further he adds, “We’re using the funding to scale our operations faster than we would otherwise be able to.  This means increased investments in infrastructure (given the SaaS side of our business, we have data centers), expanding our partner channel, increased investment in development as well as further building out sales and marketing. We also plan to accelerate our international expansion.”

Birst (the product) is typically one-third the cost, time, and resources of what they call the “big BI” solutions yet still offers many of the same enterprise-class capabilities in a single integrated solution that can be deployed in the Cloud or on premise via our appliance.
Consequently, the company is exploring the midmarket organizations that haven’t had a business intelligence solution in place due to its cost and complexity. These mid market organizations may find implementing Birst as a quick and cost effective solution than rolling out a new project using their existing BI platform. 

Birst claims that it allows an organization to take raw data and turn it into actionable insight with stunning visualizations while still providing a scalable, standards-based infrastructure underneath.  It aims at providing the best of both worlds—the agility of the visualization solutions and the robust capabilities of the traditional big BI platforms.

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