Friday, May 11, 2012

Google Big Data Analytics: Does it Matter for SEO?

Recently, Google has made available big data analytics for all, and has made it free for now.

Google’s BigQuery Service, developed for large-scale or big internal data analytics, has been recently released to the public. 

Initially made available in limited preview to a small number of developers late last November, now anyone can sign up for Google BigQuery Big Data analytics service.

Free to sign up online, developers and businesses (and even SEO Service providers) can have a free account that enables a query up of up to 100 GB of data per month, with the option to pay for additional queries and/or storage.

With Google Big Data Analytics now available for all, one could not help wonder what this means for SEO.

What is Google Big Data?

Generally, big data analytics is the processing and analysis of huge amounts of data sets to gain real-time business insights to support better real world decision-making.

What Does Google Big Data mean for SEO?

Search marketers have always given relevance to big data as Google is the original big data company.

Since search professionals made a study of Google’s methodology and applying their findings in their SEM and SEO marketing campaigns, they have been intimately involved with big data for quite some time.

With Google set to continuing their focus of providing great user experience by promoting quality content to their users. Plus, most significantly, as Google is a big data company, with the capability to analyze these massive amounts of data, can make automated inferences, and provide intelligence back to it users, the future of search is expected to be informed by the field of big data.

Moreover, as Google already started using semantic information in analyzing content and structuring search results through rich snippets, it has become more important for search marketers to familiarize themselves with the various schemas that are used by search engines as well as start thinking about content in semantic terms.

Likewise, Google has continued tapping into big data, increasing the use of the vast repository of user-driven data amassed by their portfolio. And with Chrome, Android, DoubleClick and more, enabling Google to make far more accurate inferences and thus enabling them to provide their search users the most relevant answers, big data has changed search and onsite optimization playbooks, giving even more importance and relevance on structuring the data held within the site properly as well as on people, engaging and keeping readers, maximizing user experience.

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