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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!

May 2010 Archives

I have been looking at different companies who are engaged in DWBI services and their strategies. In a fair assessment, i think about 50% of the times 50% of the strategies work. The strategies that any service provider organization comes with will not work all the time, this is simply because of changing business conditions, which is no surprise. But why would strategies fail, especially since the companies in question are service providers, the probable reasons are

  • Lack of vision - The vision of the organization may be very narrow
  • Lack of clarity - The organization is not clear about its customers needs and goals
  • Lack of market - The organization is in a market where they cannot compete
  • Lack of credentials - The organization may have a great strategy around services/solutions and no credentials to back up their solutions
  • Lack of scalability - The organization may have limited scalability in terms of manpower, causing strategies to fail
  • Lack of transparency - The organization may lack transparency in client communications with their teams and thereby causing failure
  • Lack of capabilities - The organization may have limited capabilities in service offerings and hence may cause bandwidth constraints into itself.
  • Lack of collaboration - The organization may not work with the client in a collaboration and may end-up performing as an order taker than a partner
In my perspective there are more reasons, but a combination of the reasons above is where normally the failure curve starts to creep up. I have been reading up on seminal work from great strategy gurus, who also recommend that if any of the above points are not clearly articulated, we will definitely see issues. My two cents, revisit the points and ponder over it to come to your conclusions.

Posted May 2, 2010 9:20 PM
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All of us are well aware of the recent "Apple iPhone" issue. Someone forgets a phone in a bar, it later explodes on the internet and reveals a corporations "IP"; well the story begins there - in a swift move, the Police and other agencies find the "interested parties". If you followed this story along, the most common clues were "facebook" and "social media", coupled with the digital identities of the humans and the computers.

In the Digital world, you have concerns about losing your identity, due to theft. But that applies only in certain categories of data, on the other hand the digital world also exposes your identity to a lot of people. You can change your name and fake every information about yourself, but the computers, the smartphones, the iPods etc have their own "identity" and you cannot change that particular identity, it is like the human "DNA" and will continue to provide clues in any situation - whether physical or cyber crime.

However the legalities in this case may turn out to be is not the focus here. In the futuristic world (5 years from now for discussion), the digital DNA will rule our lives more than ever. In that day and age, you can run but you cannot hide for long.

From a data practitioner perspective, this means more data to manage, and more applications to control. This is exciting and scary at the same time.

Posted May 1, 2010 9:06 AM
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