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Vishwadeep Khatri

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Article Comments posted by Vishwadeep Khatri


  1. There has been no question so far on this article, here is one for the writer - 


     


    "If data is used less frequently for decision making in a company where processes are mature and self adjusting in nature, the company may survive for a longer period. Comparatively, a company that uses data very frequently for decision making but the type of data is not forward looking or provides limited information, this company may be worse off."


     


    What is your comment on the above? 



  2. Kongkan, good work. Here is my question for you. If data driven decision making is so suitable for complex situations and it takes time to build intuition, why did Deep Blue - IBM's chess computer lose several games with Kasparov? After all, it had the capability of evaluating 200 million positions per second and more man years behind it as compared to Kasparov. 


     


    http://en.wikipedia.org/wiki/Deep_Blue_(chess_computer)



  3. Hi Suhani, very good article and good responses so far. Referring to your examples of stock markets, why is it that mostly those with deep pockets survive in markets? Why is it that most of the stock advisers/ experts like to spend their time making recommendations for others while the money at stake is not theirs? Don't you think that the data crunching experts should ideally be busy in higher value activity of multiplying their own existing money?    



  4. Excellent article. I have a question - How do you suggest use of data in decision making when the product belongs to an entirely new category with no antecedents? Forecasts are unlikely to work and gut feel probably reigns supreme. The question is important as the biggest profits in the corporate world are derived from innovations. A response with examples will be appreciated. 



  5. Hi Jayant, 


     


    This is a good article and seems absolutely on track from start till end. If we look at the "how" in addition to the "why", there are several challenges. 


     


    There are so many cases where right data was used but the inferences were wrong. Here is a link that highlights some examples - http://www.datavis.ca/gallery/missed.php Most business leaders do not know how to find the right sample size for carrying out a hypothesis test and end up concluding incorrectly. Many organizations rely on external statisticians who draw conclusions which may be right but carry little business value.


     


    There are other kinds of practical risks of promoting this approach. In a country like India - Researchers, Scientists, Artists, Designers, Chefs and the like tend to hide more than they share. At many occasions, they provide incorrect or incomplete information to others for the sake of job security. 


     


    The question is this - If you wish to promote the right way of collecting and using data, what steps would you recommend for an organization? What could be the initial steps and what could be some of the simpler tools to use in the beginning? Who should be learning and using these methods initially? 



  6. Hi Prateek,

    I am trying to understand your views of using both worlds at the same time. Are you trying to say that gut feel can be data driven, or that data driven decisions can be subjective? In my opinion, if your decision follows your intuition, you do not care about data. If you are a follower of data, you cannot go with your hunch. Your examples show that sometimes gut works and sometimes it does not. If you create hypotheses using gut feel, but finally take decision based on data, it is not an intuition based decision finally and shows that you are a supporter of DDDM. Or am I missing something?


  7. I have not seen any post on this article so far. I thought it is apt to weave a response from the manager who just got your letter. Here is what the manager writes back -

    "Well, I can see certain comments in your letter which indicate that I have some inexpressible psychological factors and a feeling of insecurity. From the style you have adopted, it requires experience to indicate that your style of writing fails to create an environment of mutual respect. Being a believer in intent and final impact of actions, I have doubts over what you are trying to achieve. On the one hand, you mention my job as a manager being wonderful, and on the other hand you mention baselessness in my views. While your language may influence a reader searching for impressive english, it lacks the same element that you are trying to support, namely, evidence. While so many innovations and new products are created through ingenuity, I do not see great results coming out from data driven decisions. While I do see some merit in your arguments, my gut feel has resulted in good performance so far, as I KNOW the markets and its sentiments. There are numerous occasions where proponents of data usage have failed. Today, markets change with every competitive launch and data mostly shows things from the past and expectations derived from experience. I know for sure that companies like Nokia focused on data analysis while others like Apple and Samsung changed the entire market with forward thinking initiatives.

    I stick to my views as strongly as ever before and hope that with deeper insight, you shall understand that emotions drive people more than logic. It is because of emotional intelligence that I have led a big team successfully for such a long time. I hope my reply helps in putting things in right perspective. Let me know if you have any evidence driven arguments."

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