How good is your ‘Personal’ Analytical Quotient?

Okay. So you know all about IQ and EQ tests. While different IQ (Intelligent Quotient) tests assess your visual, mathematical and even language abilities they also run a check on your memory and information processing speed against a score. EQ (Emotional Intelligence Quotient) tests on the other hand, evaluate the emotional ability to perceive, control and persevere.

However, neither IQ nor EQ tests tell you how ready you are for the profession of analytics.

So enter the new-age jargon, PAQ – the Personal Analytical Quotient.

Unlike the AQ (Analytics Quotient) devised by IBM solely to test an organisation’s level of analytic adoption, the Personal AQ is the measure of an individual’s readiness, ability and capacity to apply insights.

As a student or mid-career professional wanting to polish up your existing academic qualifications with an additional certification, you may want to know whether to take an Analytics, IT, GIS or other course.

So this is where the Personal AQ test comes into play. It measures whether analytics is there in your DNA. In other words, do you have a curious mind, do you possess an analytical disposition or do you accept what you see at face value? Do you like playing with stats and graphs or prefer being out on the field?

Take this simple and rudimentary Personal AQ test, to see if you are cut-out for a career in Analytics!

1. What was your favourite subject in school?

a)     Mathematics

b)     Economics

c)     Geography

2. When you are standing in front of a store-shelf with various discount offers, you

a)     Opt for a product-mix for an optimal buying experience

b)     Go for the product with the biggest discount

c)     Get perplexed and walk away

3. When you make a budget, you

a)     allow for contingencies

b)     keep in mind, the need to rework the budget

c)     keep your fingers crossed that everything works out as planned

4. When confronted with a problem, you

a)     List all pros and cons on paper and work out what to do

a)     Work it out in your mind

b)     Toss a coin

5. What irritates you most about other people?

a)     Untidiness

b)     Lying

c)     Rude behaviour

6. What is your favourite section in the newspaper?

a)     Business Pages

b)     Politics

c)     Entertainment

7. When you meet a long-lost friend how do you remember his contact number

a)     Memorise it instantly

b)     Feed it into your cell phone

c)     Jot it down somewhere and maybe forget it

8. What would you do if your bathroom is flooded?

a) locate the source of flooding or leakage

b) prevent run-off outside the bathroom

c) call up the plumber

9. What do you ask for when unable to solve a persistent problem?

a) additional information

b) more people on the job

c) more time

10. Say, you enter a restaurant for the first time. It is only when you look at the menu prices that you realize it is way beyond your budget. What would you do?

a) quickly assess the situation and devise a neat getaway

b) mentally calculate if you have the money for the cheapest item on menu and grit it out

c) tell the hovering waiter you are not carrying sufficient money

 

Scoring: each  a) = 3                         b) = 2                       c) = 1

If your total score is above 20, you are surely cut-out for a career in analytics.

For scores between 15-20, you need to assess how closely your temperament fits in with your career choice. Do you have the ability to think on your feet? Do you love your numbers? Do fact-finding missions excite you? If yes, you can still consider yourself ‘analytics ready’.

If your scores fall below 15, then perhaps you may need to re-assess.

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An IVY Alumni interview

An interview with Somdeep Kumar Sen

Somdeep may have come from a small town in West Bengal, but has launched his career as an Analytics professional in a short time. Discipline and focus has stood him well, as he always knew what he wanted to do.

An alumni of IVY Professional School’s Data Analytics programme, Somdeep is a Business Analyst with the India Head Office of the global firm Trimax Analytics & Optimization, located at Mumbai.

We asked him a few questions for an insight into his achievement.

What got you interested in analytics?

Marketing research has always interested me. While doing a stint of work after my post-grad I discovered I liked to work with data. But I realised that I needed additional skills, and that was analytics. I walked into IVY and after learning of the curriculum, I realised this was something I would like to specialise in.

I understand your MBA was in marketing. How do you think it has helped you – in getting this job?

Well, my work involves marketing and retail analytics. So definitely an MBA has helped me, especially to understand the client business.

What certifications did you procure?

The Data Analytics weekend programme from Ivy Professional School and AWS certification from Amazon in Business and Technical competency.

What soft skills do you believe you possess, which have helped you along the way?

Listening patiently. That is my biggest strength. Also the willingness to learn something new. My knack of understanding how a business works, was another plus.

How much do you think the above (certifications / soft skills) helped you in landing this job?

Definitely it was the certification in Analytics. As for soft skills, I think my ability to listen and to present.

What are your principal takeaways from IVY Professional School?

Training on the SAS. My teacher was extremely helpful and gave me personal attention whenever I required.

Besides, the personal touch of the entire administration, faculty and trainers. They taught me to be patient, perseverant, and to believe in myself. And to keep working on my skills.

Tell us something about your job position. How much has your learning helped you? And where do you think are the gaps?

Well, as a Business Analyst, both my Marketing and Analytics specializations have helped me. Especially the foundations in statistical analysis.

However, there is a gap between actual learning and the work scene, which maybe common for all jobs, I wouldn’t know.

When I first joined, I felt all my learning had not prepared me for the understanding  client operations. It was the client business/industry that I needed to understand first before I could work further. Fortunately, I had a bit of work experience in market research before getting the job, so I was able to catch on fast.

Which techniques have so far been most useful to you?

Excel invariably becomes your best friend. Of course, I use  SQL to fetch data from client database. I am still waiting for opportunity with SAS.

Your leaning is towards the Big Data ecosystem. How do you plan to enhance your know-how in this area?

I have developed some insights on ‘R’ and hope to take some training on Hadoop. I do have some idea on Hive and Map Reduce. I am also working on machine learning techniques like Bayes and CHAID Algorithm. Social media analysis, especially sentiment analysis and text analytics to be more specific is of great interest to me, and I am developing my knowledge on this too.

What do you do in your spare time?

Work out in the gym, play PC games, spend time with friends and family; and  of course brush up on my ‘R’.

Where do you see yourself 5 years from now?

As a Manager in Business Analytics, working at Kolkata perhaps – in marketing and retail analytics.

We wish him all the best in his career path and aspirations, and believe he will be able to achieve them because of his grit, discipline, perseverance and drive to learn.

 

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