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SUHANI POPLI

Sparks Nov'13
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About SUHANI POPLI

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  • Name
    Suhani Popli
  • Company
    IIM Kozhikode
  • Designation
    student
  1. Hi Roy I am glad you like the article. The major issues with a huge amount of data, as I see it, are - - Duplication or missing data - Availability of forged or incorrect data - Time and Cost associated with the search and collection of data - Obsolete figures are used for analysis in cases where data is unavailable - Reliability of the data obtained- Difficult interpretation of Big Data Though this list is not exhaustive, these are the most commonly observed sources of error when firms extensively deal with data. Firms employ various techniques to reduce, if not completely eliminate thes
  2. Hey Jeny, Thanks for the appreciation. Coming to your question, not really. Rather to think of it, it is probably these players who need the maximum information or data about the industry they are going to enter. Truly, intuition would play a part when trying to predict their own trajectory of growth, but it is facts and figures that would essentially help any firm picture how it can carve an opportunity for itself. Based on this background information then, the firm can take necessary steps to establish itself, and grow further. Hope I answered your question.
  3. Hi Vishwadeep Sir Thankyou for your interest in the article. As I see it, there could be two possible reasons for why it is those with 'big pockets' who actually play well in the stock market - (i) It is these people who actually have enough funds to hedge their risk by investing in a variety of instruments (a commonly known phenomenon is that nearly 30-50 stocks across different sectors can bring down one's portfolio risk considerably). (ii) Even if they aren't 'financially literate' themselves, they possess the resources to seek help before making an investment. Putting it differently, i
  4. Hey Sucharita, thanks a lot!! I completely agree with you. Not only the supply, but also the demand side is dependent on data to a great extent.Probably the best example would be that of the stock market, where an investor always looks at the data to find out which stock is doing well, and hence buys it. Further, any firm in an industry demands inputs (raw material, electricity) and employs labor, depending on what its records of the past show (in terms of its output, efficiency, etc.) and what can be predicted for the future, given the current and past peformance. In a nutshell, be it any
  5. Thank you Dhawal. I am glad you found it worthwhile!
  6. Hi Mandar, Thankyou for this question. Being inclined towards Finance myself, I follow stock markets to a reasonable extent, and hence feel that intuition has a great role to play in this field. In most investment situations, especially the complex ones, taking all the factors affecting it into account is nearly impossible. This is where the 'gut feeling' can play a significant role. Other cases could be those when information is classified or unavailable. As a matter of fact, there exists a subject called 'Behavioral Finance' which explains how emotions and thinking affects the investing de
  7. Hi Praveen Thank you for your interest in the post. Using data as the basis for analysis is like a 'necessary evil' - 'necessary' because it enhances the accuracy of decisions, and 'evil' because as you rightly put it, its application is difficult. This is probably where the use of statistical tools could come in. Even for large quantities of data, softwares like SPSS, MS Excel, etc. to use graphics and forecast, instead of trying to work with a huge amount of data. Coming to a particular sector, say pick up sales. Sales in the future can be forecasted with respect to data. Incase of FMCG es
  8. Thankyou for the question. In any sector, I believe, intuition has a major role to play, since no one can predict the future accurately. However, relying solely on it could prove to be dangerous in the long run, since the industry today is highly dynamic. What I am trying to express in this article is the fact that a combination of one's skills of data analysis and his/her power of prediction can help one take better decisions. Infact, if you'd ponder on what the source of your intuition is, you'd realize that it actually stems from how your thinking has proven to be correct in the past, whic
  9. Once when asked what he does, if the data does not support his decision, John Maynard Keynes replied – “I change my opinion. What do you do?†In a haystack of information today, that one thing which helps organizations take sound decisions is the ‘analysis of data’. Often, companies find themselves in situations where from a variety of choices, they need to pick one. In such cases, data-driven decision making enables following a systematic procedure. A successful completion of any process begins from a decision well made. It forms the first step of any execution proc
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