My first post will be on how to train your mind for Analytical thinking. I have shared a post from AnalyticsVidhya.If you are regular reader of this page, you would have come across this post already.

How to train your mind for analytical thinking?

 Source : AnalyticsVidhya (http://www.analyticsvidhya.com/blog/2014/01/train-mind-analytical-thinking/)

 

I recently started going to the GYM. Quite a big achievement for me to be going to the gym regularly for more than a month. What always made me irregular was a lack of motivation to go to the gym everyday. However, I made some key changes this time. For starters, I paid a personal trainer and tightly followed a diet schedule. In around 20 days I realized I was able to lift 3 times the weight and 1.5 times the repetitions of the same exercise. Did my muscles become thrice as strong as before? No, what my trainer played on was “the muscle memory”. Say, I lifted 10kg on a particular exercise yesterday and struggled to make 10 repetition, but somehow did it. Today, my muscle already knows I was able to complete 10 repetition on 10 kg. This time I struggle far less, because I am already prepared for what is coming.

I realized that same logic applies with the power to think. If you make calculations on daily basis, your calculations become more reflexive and accurate. An average working person in weekday spends 25-30% of his time sleeping, 40-60% of his time working , 10% of time eating and 15-25% idle. In this busy world more than 50% of our idle time is spent on road. You can use this particular time to develop sharper reflexes on numbers. This article will illustrates some engaging methods that I use in this idle time to sharpen my brain reflexes.

Some examples : 

 Driving alone to office, sitting in a cab to airport ,and travelling in trains, metro or bus are boring . I, however, engage myself in small puzzle solving which not only engages me, but also sharpens my brain reflexes. Here I will take some puzzles which I solve everyday while on the way to the office:

1. Escape cops :

By far “the most interesting one” . Everyday, I am just in time to leave for office. If the traffic is heavy, it becomes sometimes inevitable to cross signal just after it turns red. But on some blind turns, you find the traffic police waiting for the next meat. Here’s what I did to predict the number of police standing on the blind turns. I took two attributes to predict whether I will find cops or not. These attributes were :

a. Day of the week

b. Pattern of cops on previous junctions

Using the above decision tree, I find a particular node, where I found almost zero probability to find a cop on blind junction. Till date, the algorithm works fantastically, but I am still figuring out better attributes to follow.

2. Time to office :

Here’s an interesting one again. It takes me 35 mins to reach office. But in case I get late for 2 mins at any particular road, I am almost able to calculate the exact time I can expect to reach the office. It’s simple but accurate. I have calculated the time it takes to cover each segment of the route and a factor in different scenarios of traffic at each segment. In total I have 7 check points at a difference of 5 mins. each in case of light traffic. Looking at the traffic in first segment gives me reasonable information to find the right multiplier for each of the segments.

Till date I have been able to predict the time to office within first 5 mins of drive in a confidence interval of +/- 3 mins.

3. How fast is the other vehicles :

This is the most addictive one. I always know my own vehicle’s speed and can judge the distance of approach of other vehicles in 10 seconds. Hence, I am able to calculate the relative velocity of other vehicle and, finally, the absolute velocity of the other vehicle.

4. Sizing of services we use :

Whenever I take an auto-rickshaw, taxi or any other services, I try to calculate the total sizing of that business model and the profit individual players make in the process. I have had the most interesting conversation with the drivers, who always had some new insight on ground realities which I missed to incorporate while thinking of the business model. You can read my article on sizing problems here (http://www.analyticsvidhya.com/blog/2014/01/tips-crack-guess-estimate-case-study/). Even though the article focuses more on interview approach, you can leverage same framework to do the sizing of services on daily basis. Not only will you find it interesting but also you will improve your analytical skills.

Potential benefits of implementing such practices : 

 Three basic benefits which I have realized by implementing such practices are as follows:

1.  Power to innovate in problem statement and its solution:

To bring an out of box solution, you always need an out of the box problem statement. As an analyst, I continuously feel the need to find fact based problems which can create significant impact. We are surrounded by facts, and to search for the right facts to build up implementable solution is what it takes to be a successful analyst.
When we do a regular search of such interesting problems, our reflexes to look at imperfections sharpens. We are more capable of  to think of new business cases which can become impact full projects.

2. Sharpen the reflexes to calculate faster:

Practice makes man perfect. It does so in two ways. First, your brain tends to retain some frequent calculations. Say, 1 million * 1000 = 1 billion. You don’t need to calculate the number of zeros because it gradually becomes very intuitive. Imagine thousands of such combinations right on the tip of your head. Engaging free time to make meaningful calculations for sure makes your calculative reflexes sharper.

3. Think about the same problem in many angles and choose the most effective one:

The puzzles can be very simple, but thinking the same puzzle with different methods and then comparison of different answers not only is interesting in nature but also helps you build on your evaluative skills. We gradually start to implement the same on complex scenarios.


 Other links which might be helpful for the readers :

http://www.analyticsvidhya.com/blog/2014/02/tools-structured-thinking/

http://www.analyticsvidhya.com/blog/2013/06/art-structured-thinking-analyzing/

http://www.analyticsvidhya.com/blog/2013/06/art-structured-thinking-analyzing/

http://www.analyticsvidhya.com/blog/2013/09/5-habits-highly-successful-analyst/ 


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