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Krish Krishnan

"If we knew what it was we were doing, it would not be called research, would it?" - Albert Einstein.

Hello, and welcome to my blog.

I would like to use this blog to have constructive communication and exchanges of ideas in the business intelligence community on topics from data warehousing to SOA to governance, and all the topics in the umbrella of these subjects.

To maximize this blog's value, it must be an interactive venue. This means your input is vital to the blog's success. All that I ask from this audience is to treat everybody in this blog community and the blog itself with respect.

So let's start blogging and share our ideas, opinions, perspectives and keep the creative juices flowing!

About the author >

Krish Krishnan is a worldwide-recognized expert in the strategy, architecture, and implementation of high-performance data warehousing solutions and big data. He is a visionary data warehouse thought leader and is ranked as one of the top data warehouse consultants in the world. As an independent analyst, Krish regularly speaks at leading industry conferences and user groups. He has written prolifically in trade publications and eBooks, contributing over 150 articles, viewpoints, and case studies on big data, business intelligence, data warehousing, data warehouse appliances, and high-performance architectures. He co-authored Building the Unstructured Data Warehouse with Bill Inmon in 2011, and Morgan Kaufmann will publish his first independent writing project, Data Warehousing in the Age of Big Data, in August 2013.

With over 21 years of professional experience, Krish has solved complex solution architecture problems for global Fortune 1000 clients, and has designed and tuned some of the world’s largest data warehouses and business intelligence platforms. He is currently promoting the next generation of data warehousing, focusing on big data, semantic technologies, crowdsourcing, analytics, and platform engineering.

Krish is the president of Sixth Sense Advisors Inc., a Chicago-based company providing independent analyst, management consulting, strategy and innovation advisory and technology consulting services in big data, data warehousing, and business intelligence. He serves as a technology advisor to several companies, and is actively sought after by investors to assess startup companies in data management and associated emerging technology areas. He publishes with the BeyeNETWORK.com where he leads the Data Warehouse Appliances and Architecture Expert Channel.

Editor's Note: More articles and resources are available in Krish's BeyeNETWORK Expert Channel. Be sure to visit today!

Recently a study was done by a leading university, that concluded Social Media provides minimal influence on behavior etc (read it here - Havard Study). My issue with such a study is the perception and viewpoints do not account for all that is happening in reality, and the study is focused solely on Facebook. IF you need a prime example of Social Media and its influence, look at the powers that reshaped the political landscape across the world this year, Time Magazine naming the Protester as person of the year, and this is a collection of all persona's and personalities digital and physical.

Social Media has become a reckoning force, a vital tool for information exchange and to a large extent has fostered many startups hoping to cash on building platforms and services around the subject.

With enterprise Social Adoption becoming the biggest trend among large corporations, it is pitiable that we are still grasping at the straws on the influence factors and its value.

In my opinion, the question of value is really based on the underlying purpose of the social network. It relates to the goals and direction a community, based on its common subjects of interest and intent. If you want to derive the value quotient from this community, you need to study its behavior and its relationships amongst members of the community. You can use many algorithms for such purposes, though there is no set methods available as commercial or open source solution. You can definitely use technologies like Hadoop, Cassandra, Mahout, R, Textual ETL to create solutions that will help in driving analytics which can help you to create, define and measure the value of a social network.

Social Media Metrics have been a nascent area and are still emerging from a concept to a solution. It is immature to think because I do not know how to measure, I will rather assume the exercise is futile. Rather look at the whole movement behind Mahout and R, this area will emerge in 2012 as the most adopted solution platform.

Posted December 24, 2011 10:49 AM
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