UPDATED 11:12 EDT / MARCH 22 2011

NEWS

CrowdFlower Raises Funds, Goes Beyond Crowdsourcing: Big Data Analytics

Big data is one of the most buzzed about catch phrases you’ll hear in the cloud, and more and more companies are hopping on this bandwagon to turn all that buzz into revenue. The latest example is CrowdFlower, the popular crowdsourcing platform, which announced a couple of big developments today: it raised $7 million in Series B funding, and unveiled Product Categorization solution for enterprises.

“This product release comes just as CrowdFlower has raised $7 million in a Series B financing. Harmony Partners led the round, with participation from existing investors, Trinity Ventures and Bessemer Venture Partners. CrowdFlower has now raised more than $13 million in venture financing.”

Now cutting to the good part, CrowdFlower’s Product Categorization solution aggregates data from a scalable human cloud of 1.5 million users, and provides it to company customers for analysis. This data is aimed to help those customers optimize their systems, whether offerings or ad campaigns, to correspond with the customer trends at any given time. Big data analytics is one of the more important areas belonging to this trend, and we’ve seen a few major developments lately.

The trend around big data analysis is certainly growing. Physical, virtual and cloud-based IT environments management software maker Zenoss recently unveiled its latest product, Zenoss Datacenter Insight. The turnkey solution offers real-time analysis tools for cloud-based infrastructures, and centers around data warehouses in particular. The offering providers a comprehensive toolkit featuring options which can assist clients get a better insight into customer trends using metrics, as well as their datacenter facilities.

A bit earlier, Google acquired security analytics software developer Zynamics for an undisclosed amount. While it’s still unclear how it intends to incorporate Zynamics into its offerings portfolio and strategy, this move demonstrates the growing importance of big data analytics. The retail space may be the biggest evidence to back this claim – the industry is changing the way it operates, based on its ability to create a more usable system for customers.


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