The latest buzz in Indian Analytics Industry – August

The focus this month has been more on new applications and solutions rather than acquisitions.  Special mention of the new all new app Surveyi2i, a great blessing to all who need to translate surveys into insights on-the-fly.

Acquisitions & Market expansions

# Bangalore-based analytics firm NettPositive, is slated to be wholly acquired by global information service provider Equifax, the present 51% stake holding going up to 100%.

# TCS has tied-up with US-based Cloudera, an enterprise analytics data management provider, to offer Big Data and analytics services globally. As part of the deal, TCS’s global team of Big Data experts will be certified through the Cloudera Certified Professional (CCP) programme, and products validated through the Cloudera Certified Technology Programme (CCTP).

Analytics Career Scope

# According to Sudipta Sen, Regional Director (South East Asia), Vice-Chairman and board member of SAS, the demand for analytics professionals across KPOs is growing at a CAGR of 25 per cent”. At present there are 3.5 lakh professionals working across India in the various KPOs dealing with analytics.

New launches – start-ups, services, vendor products, apps

# In pursuance of the new Government’s plans of a ‘Digital India’, the government has launched the “.bharat” domain name in devnagari script covering eight languages including Hindi, Konkani and Marathi. So users will be able to book domain names in Hindi script. With plans of extend internet usage across the remote areas of the country, and e-commerce becoming the latest buzzword to have reached our rural India, digital marketing and analytics can only grow bigger!

# BRIDGEi2i Analytics Solutions, today, announced the launch of Surveyi2i, a cloud-based survey analysis application, enabling business users to conduct comprehensive analysis of their survey data in just a few clicks.

# IBM India announced  a Talent and Change consulting practice as part of its plans to step up its analytics presence in enterprise HR. The new initiative will enable enterprises to use analytics to help clients identify talent and manage transformational change through the IBM Smarter Workforce initiative. Four key areas shall be addressed – Organizational Change, Talent Analytics, Employee Experience and HR Cloud – with to help clients use cloud to deploy, manage and access their HR solutions and assets.

Hey, we missed this last month!

In July, Twitter opened up its Analytics Dashboard to all its users, allowing them to track how each of their tweets are faring.This allows advertisers to see number of views and engage with organic Tweets, for optimising content strategy. The Tweet activity dashboard is available to all advertisers, Twitter Card publishers, and verified users around the world.

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Featured ‘Start-up of the month’- Nanobi Analytics, Bangalore

If you thought an ‘app store’ was just a digital marketplace for mobile apps, then you need to have a rethink. Indian firm, Nanobi Analytics, has redefined the term ‘app store’ with its cloud based BI platform offering analytic applications for use by various industries.

This Bangalore based start-up is only 11 months old, and has come up with this amazing idea of an analytics app store. The concept serves a large untapped group in analytics deployment, killing the notion that analytics usage is expensive and time consuming. Winner of the Microsoft BizSpark India Startup Challenge 2013 , Nanobi Data and Analytics Pvt Ltd aims to deliver analytics with a difference. It has also been listed as one of the Top 10 emerging technology start-ups for its innovation in analytics.

The Nanobi analytics app store, going by the name theanalyticstree , has content rich apps across various industry verticals and horizontal domains. I looked up their Financial Services app FPA Lite Edition. The product description says, “whether you are looking to aggregate data across multiple systems or looking at managing your revenues and expenses or improve your working capital efficiency, the FPA App can give you insights into your financial data and provide you a comprehensive view”. This app walks you through a process of downloading the Nanobi Tally Adaptor which offers capabilities of Revenue Analysis, Expense Analysis, Performance Overview, Balance Sheet Analysis and Ratios. With a trial subscription of Rs 899 per month, it just takes max an hour to have your financial analytics app up and going for your business!

As the apps are built on a cloud based  BI platform, based on the open rest architecture and HTML5, analytics becomes easy to use, both for solution designers and business users. According to ZDNet, the app store provides “multiple deployment models designed to address enterprises of different sizes and requirements”. The value to the 8.8 million SMEs in India across different industry verticals can be tremendous.

Small businesses that are growing at a rapid pace and need to deploy analytics on a priority basis, may not have the budget for an analytics infrastructure to be put into place.  Nanobi Analytics caters to this segment with its easily affordable subscription formats for both on-premise and SaaS delivery models.  What’s more, its pre-built industry solutions with expertise of various domains, facilitate the easy and quick connect with the business’  enterprise app.

“Customers just need to subscribe to the analytics app and download the data connectors, which pull out the required information from the concerned SMB’s enterprise app – like ERP or CRM or others – and then push this to the analytics platform. This means, in less than one hour, an organization can subscribe, pay and get instant access to their business analytics on the cloud”. (Information Week)

In an interview with Analytics India magazine, the Founder CEO and MD, Mahesh Ramakrishnan, shares some of Nanobi’s visions and success stories.

Currently focused on the Indian market with plans of a global expansion beginning next fiscal year, Nanobi Analytics is yet another Indian start-up initiative in analytics that aims to make “analytics delivered simple, agile and pervasive” (the Nanobi mantra).

Our takeaway is that, analytics professionals with a vision and a drive can strike gold with new solutions in the vast and fast-growing analytics landscape. Lack of funds need not be a hindrance either, in a setting where angel investing and grants are available options, as Nanobi has proven.

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Decoding the myth behind the ‘Data Scientist’

If you are anyway connected with analytics, database management, econometrics or BI, you will have heard of this new-fashioned title of the 21st century, the data scientist.

Much like the conventional scientist who researches, experiments and innovates; a data scientist is a hands-on person who puts into practice well established principles and norms of data science into business practices. Just as a scientist can belong to any discipline ranging from the environment and epidemiology to ceramics production; a data scientist can work in the realm of business, healthcare, governance or social science.

Data science as in other sciences, involves learning a set of theories and principles. These are the mainstay of practices and skills implemented for redressal of various problems related to data.

So what does a data scientist do?

He or she applies skills to on-premise or cloud technology for clarity and direction in working with data.

As mentioned in the portal for data scientists,

 “Data Scientists don’t just present data, data scientists present data with an intelligent awareness of the consequences of presenting that data.”

The data scientist looks for hidden patterns in data, applying user-friendly or advanced technologies, self-served search tools, interactive data exploration tools, and other approaches using his knowledge of statistical modelling, domain knowhow, mathematics, finance, social science, business management, engineering and more.

Moving beyond the realms of pure science …..

The Data Scientist

# Brings science to the business process

As the title suggests, the data scientist has fine-tuned the skill of sifting, sorting, categorising, analysing, and presenting data in a usable form. He researches and experiments in the pursuit of knowledge – delving in social behavioral patterns, statistical controls and conducting real-world experiments with data. He brings science to the process of business operations and a data-driven DSS.

# Is an agent of change

The role of the data scientist has evolved as all-pervasive to the business process. He is now being tagged ‘an agent of change’, as he convinces decision makers of the organisation to take data-driven decisions for competitive advantage or pressing business problems .According to Anjul Bhambri, leader of the Big Data development initiative at IBM, “the data scientist can (and should) play a key role in advocating for a dynamic, information-focused view on business growth”.

# Makes analytics simple and user-friendly

Making use of statistical algorithms and machine learning techniques in historical or real-time data , the data scientist makes possible patterns to be visible from huge amounts of data. This makes analytics usable for end users not familiar with the system infrastructure. A good data scientist has a strong business acumen, who can “communicate his  findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge” (IBM).

# Prevents data silos

The data scientist makes use of existing platform and tools to ensure that queries and data access run smoothly and seamlessly. His role is to increase the analytic capabilities of the business by ensuring that data is available to everyanalyst or decision maker.

# Is part data analyst, part system analyst

The data scientist examines data from disparate and streaming sources to identify hidden trends, looks at it from various perspectives, establishes its significance and puts forward his recommendations on how to apply the data. As one who ensures that data does not get siloed, he liaisons internally with system administrators, colleagues and developers, assuming the role of a system analyst by default.

As this IBM blog says,

“Business-oriented data scientists may never receive a Nobel Prize for their work, but that doesn’t make them any less scientific. The prize for their hard work is obvious: business success”.



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How to land that perfect SAS job

Of late we have many students asking how to land a job in SAS. Interestingly, landing a job that sets you off on a SAS career path requires a slightly different roadmap than most jobs.

To begin with, know yourself.

Are you an analytical person who likes to works with stats and logic? Or has programming caught your fancy? Does the business side of client interaction excite you? Have you additional skill sets or qualifications that can be leveraged for specific industries? SAS skills are required mostly for in-house hiring by all industry verticals, besides the regular IT and pure-play analytics firms. So you can actually select the industry of your choice to kick-start your SAS career path.

Although an earlier IVY blog details the SAS career scope, broadly speaking, your answer to the above self-queries would decide the SAS job you aim for. As an analytical kind of person, you would prefer to look for jobs that belong to the analytics domain – which require SAS skill sets. To be a SAS programmer, you would obviously need to have expertise in computer programming, with a background in science and mathematics. (Look out for an upcoming blog on how to be a SAS programmer!)  If client dealing and the business side is more up your sleeve, job titles of Business Analyst, BI Analyst, SAS Analyst is what you want.

If like Vrinda, you have an aptitude for actuarial science and working with figures, you are lucky as there are plenty of jobs in the BFSI sector and Risk management domain that carry a SAS proficiency tag.

Be aware

Often the best way is to read financial papers, visit analytics websites, read blogs and the latest issues of Analytics India magazine and the information-rich the sascom magazine to know more about industry trends.  The SAS portal also provides guidance free of charges. You can check out their weekly live Q & A sessions where SAS experts answer queries specific to SAS Visual Analytics. And of course, browsing through older blogs at IVY would be the best place to start : )

Take a self-test

You need to check out how SAS-adept you are, in order to pitch for the right job. Take the SAS practice exam to build your confidence and know where you stand. It is chargeable, about Rs 4000/-  : (  but if you are confident and want to land a super job with say, the SAS Institute, this maybe something you will want to look at, as this is a global certification from the Institute itself! To be a SAS Programmer or make a lateral job shift, here are some other SAS certifications.

Be prepared

These are some excellent resources that list actual SAS Technical interview questions with some additional inputs.

Begin your job hunt

Look up the major hiring engines as SAS jobs are likely to be listed only on major job sites. Apply for the job that you think best suits your aptitude, skill sets, qualification and experience. Check out career openings with SAS-India or make direct enquiries with your details. Healthcare, Credit, Risk are some sectors that actively hire SAS professionals through the year.

Network, Network, Network

Join the SAS user group. Networking helps you figure out where the jobs lie. Join Linkedin. Create a professional profile, with essential keywords that identify you with SAS proficiency, your certifications and soft skills. Follow SAS. Check out SAS jobs > India at Linkedin. Sign up, leverage your professional network, and get hired. Create an email alert for SAS jobs. New SAS jobs are added daily at Linkedin.

Create a twitter account with the SAS keyword. Follow industry news, @SASsoftware, SAS jobs information, re-tweet good reads, use SAS / analytics / related hashtags and do everything possible to direct the right people to you as a potential SAS professional.

Wait! Here is some great news for SAS career aspirants.The SAS company trolls Twitter, LinkedIn, Facebook and the Web for potential recruits. “It also involves hiring managers, recruiters and other partners beyond its HR staff to seek out new talent”. So networking can be extremely valuable to carve a career in SAS. However SAS stresses on team spirit. So you can expect hiring managers to delve beyond your qualifications to your soft skills and ingenuity in handling situations. If you are intent on a SAS career keep up with your networking and updates. Focused networking never goes futile.

While you wait to hear about your job, sharpen your SAS learning curve with free tutorials, catch up on some IT / database management / risk certifications and work on your soft skills.

So go ahead and set in motion your SAS job hunt with a solid profile, social media presence and belief in your SAS skills! And let us know how you fared, what issues you faced and your takeaways.

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How Analytics helped Germany win the 2014 FIFA World Cup!

Who says analytics is only about facts, figures and insights? If you are smart enough, you can combine your career in analytics with unfulfilled aspirations and pleasure pursuits. In a nation gripped with a sports fever each time the World Cup happens, what other example could I give but analytics in sports?

Take for instance the recent 2014 FIFA World Cup where -time analytics was applied to this high-kick game of passion and fervor.  Are you aware that it was Big Data and Predictive Analytics that helped Germany score the World Cup?  No, I am not talking through the hat … just read on.

The football team of Germany is of course known for exceptional talent and great teamwork. But what you didn’t know was that pitted against some of the best world teams the German Football Association was in no mood to take chances. So they teamed up with SAP to make use of their SAP HANA technology based Sports Match Insights solutions for football.

“SAP Match Insights helped the team analyse matches by processing vast amount of data to help players improve their performance. Video data was captured from 8 on-field cameras and crunched into thousands of data points per second.  This enabled coaches to analyze performance metrics, such as player speed, position and possession time.  Coaches could then provide feedback to players via mobile devices to help them improve their game.”

Some areas where the Match Insights tool empowered the win:


The customised match analysis tool collected and analysed massive amounts of player performance data. The focus was on speed. The team was able to analyse stats about average possession time and cut it down from 3.4 seconds to about 1.1 seconds, he said.


The Match Insights tool reveals virtual “defensive shadows” that help understand how much area a player can protect with his own body, or take advantage of the opponent’s weak links.


The Match Insights tool allowed the German coach to identify and visualise the game vis-à-vis performance of individual players, which was send to teammates’ mobile devices. So if a coach wanted to adjust a particular player’s speed, position or possession time, stats and video clip from that day’s game would be sent to that player’s cellphone to look at  performance data.

Analysing competition

The tool enabled the German team to view and analyse the performance of its competition and make their moves accordingly. A lot of qualitative data for the opposition was made available. For instance, looking at the way Cristiano Ronaldo moves in the box,” and before the game against France, analyzing how “the French were very concentrated in the middle but left spaces on the flanks because their full-backs didn’t push up properly.” So the German team could target those areas.

Technological support

While an app developed in collaboration with SAP allowed the clipped analysis of live feeds to be sent to the player’s cell phones, Big data on players was accessed by the team. The German team also spend time reviewing  an extensive dataset that revealed how Brazil players reacted in pressure situations, their preferred routes and their response when fouled!

Video analytics and biometric data were leveraged using on-site digitization of the game. Three HD cameras were set-up in various locations at each arena that usedimage recognition to identify each of the 22 players, three referees, and the soccer ball. The system then tracked the XYZ coordinates of each of the above, to relay the visualisation “on a multi-screen, digital workstation where 74 people pour over the data on-site, aided by another 20 back in Italy”. Written algorithms helped calculate passing stats, ball possession, and other statistics. Such tracking information when relayed to a terminal, enables an operator to validate each action.

Football analytics2

The SAP DataViz team “pulled together game data from the qualifying stage and analysed the match-ups with SAP Lumira and SAP Predictive Analysis.”

Based purely on DATA such kinds of visualsiations, analysis, and infographics were presented during each stage of the tournament.

SAP “also used its Lumira and Predictive Analysis solutions to analyse data from all the Fifa World Cup teams in a bid to predict which countries would advance in the tournament. The key statistics used included goals, time of possession, participation in World Cups, and world rankings. Each individual match-up was compared and analysed on a team-by-team basis.”

India has also released the application, TCS SocialSoccer from Tata consultancy Services, that aggregates real-time analysis of all matches based on Twitter data, tracking sentiment and key talking points from commentators, footballers and fans from across the globe, and technology companies toying with the idea of introducing tracking devices in player shoes, we can hope to see some great real-time and spatial analytics in the arena of sports analytics!

So as a football or even cricket enthusiast, you can actually channelise your sports passion into a proprietary analytics application!


Football analytics

                         From The Economist’s World Cup Goal profile showing by minute, the time at which every goal from World Cup tournaments were scored.

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What is Analysis Paralysis?

As ‘policy paralysis’ becomes the latest euphemism used by our ingenuous Indian politicians, it reminds me of the synonymous jargon used within many analytics mature organizations – ‘analysis paralysis’. This is simply a polite way of referring to the state of over analysing, so much so that the process of decision-making freezes (or paralyses) and the business operations are affected adversely due to inaction.

Investopedia defines analysis paralysis as

“when an individual becomes so lost in the process of examining and evaluating various points of data that he or she is unable to make a decision with it.”

At a time when analytics is making waves – applied to management decisions ranging from inventory to sales, employee compensations, production process, pricing and more – there is often the risk of reaching a stage when information overload may paralyse the decision-making process.

How do you know when your organisation or client is afflicted by analysis paralysis?

# When the available options seem to overwhelm the management or decision-makers.

# When a long time is spend on thinking over every single decision, because of fear of making a wrong choice.

# When the need is felt to analyse every single option before making a decision or arriving at a conclusion.

# When over-analysis becomes a habit, often stopping quick decisions, sometimes even missing good opportunities.

# When indecisiveness, drains the management of time and energy.

# When even simple decisions are over-complicated because of  the compulsive need to analyse and research.

How to deflect analysis paralysis?    

  • Differentiating between the issues under consideration – how important it is, what is the impact in the long term, does it need to be addressed immediately
  • Identifying the business goals – in an immediate, mid and long term perspective
  • Allocate budget for the issue under consideration, in tune with its importance to the business operations
  • Learning to eliminate bad options at the first instance
  • Fixing a time-frame for problem resolution or decision-making, and sticking to it
  • Picking out the best option available within the time-frame and budget, and refraining from second-guessing
  • Going by gut instincts when time and money is limited, or the matter calls for instant action
  • Building a good team on whom you can rely for timely feedback and effective actions
  • Planning your analytics roadmap keeping a real connect between various departments, business goals, data applied and span of problems addressed

While this applies to businesses using in-house professionals and customised software for its analytics; it is equally applicable to firms that outsource their data and analytics requirements to consulting firms and management professionals.

The professional in the role of business advisory / analytics support has an important obligation – that of maintaining the right balance when steering the client’s data and analytics strategy.

Thumb rules for asking the right questions to support the shortest story-board design and optimal analytics usage

  • What is the exact nature of the client business – Analytics deployment differs for industries as well as application scenarios. So analytics solutions for a retail store would differ from that for a hospital / healthcare business. Again, analytics for addressing the problem of fraudulent transactions in a bank would be distinctly different from that used for devising a pre-Diwali marketing plan of a consumer appliance manufacturer.
  • What problem the client needs to address – Does a retail store need to plan shelf space optimization for translating footfalls into sales? Is the healthcare client concerned about fraud occurring in its stores supply department?
  • What analytical process would best deliver the client needs under consideration – Every situation or problem has more than one way in which analytics can be deployed to facilitate decision-making. So if the client is concerned about poor sales performance of his recent launch, then would social media and sentiment analysis help understand the problem? Or would marketing analytics work better to gain a 3600 view of customers and suitably align business or product strategies?
  • What is the budgetary allocation of the client – While clients with larger budgets can facilitate adoption of various real-time data and analytics across its business operations, there is always a risk associated with analysis paralysis. A balanced  analytics programme or BI roadmap regardless of budget, is critical to business success.
  • Does the available data suffice the needs of the business? Is it judiciously integrated within the business process of the client? Does the data support the real-time or predictive needs of the client?
  • What is the framework within which the client needs to address the problem – The time framework largely determines the analytics solution deployed to fast-track the problem.
  • How mature is the business process – With business maturity, data becomes voluminous. Analytics is also used at various levels of business operations and departments, very often built-in within the enterprise system. Such situations call for skilled application of analytics for an effective business ROI.

Bottomline – Ultimately, the ability to respond quickly to situations, is what drives a business forward.

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Urgent Opening For Data Analyst

Opening For Analyst -Gurgaon
• Location –Gurgaon
• Freshers are welcome
• Educational Background: Masters in Statistics, MBA, Finance, Economics, mathematics, Any Masters
• Skills: Knowledge of SAS, Excel, VBA, SQL, Statistics
•••• Only for the Students of Ivy Professional School••••
• Kindly send in your resume to by Thursday ,5th August, 2014 by 2 pm.

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The latest buzz in Indian Analytics – July

While the first two quarters of 2014 have witnessed plenty of analytics frenzy, the month of July has been comparatively quieter. Albeit, the continued faith in the power of analytics continues … with increased investment in analytics by vendors, angel investors, educational institutes and company boards.


# At the recently held NASSCOM Product Conclave 2014 at Kolkata (July 17-18th) , Ideal Analytics received the Product Exhibit Award 2014 for redefining Analytics in the BI-BA sector. You may recall IVY had featured Ideal Analytics as the start-up of the month in May. A recent interview of the CTO and Founder, Mr Sanjoy Chatterjee, recognises his visions of analytics-BI in the healthcare sector.

Investments and tie-ups

# Angel investing in analytics firms continues, with RiverBridge Investment Advisors reposing faith in Chennai based research and analytics firm Akara Research & Technologies. Akara provides data solutions to corporates, banks and government, using an extensive information processing methodology.

# About Rs 12 crores have been invested by venture capitalists in Mumbai-based big data analytics venture Peel-Works. The firm boasts of a cloud based SaaS model that helps build smarter salesforce through data and analytics, applied to unique Indian problems.

# Facebook has partnered with GroupM to benefit from the latter’s wide mobile audience reach across India including end-to-end digital solutions along a SMAC model.


# Although the automobile industry in India is yet to robustly apply Big Data analytics across its supply-chain logistics and other operations , firms like Mahindra & Mahindra which started analytics deployment three years back, is increasingly turning to various analytic tools for improved launches, customer engagement and sales. Other companies leveraging analytics are Hero MotoCorp Ltd. and Maruti Suzuki.

News on the Analytics career trajectory

# According to SAS India, there is an increased demand for skilled data analytics professionals in India as analytics deployment increases among organisations across Indian industries.  Tell us something new!

# The rise in demand for skilled analytics professionals coupled with insufficient supply has not only spiked the salary range but also prompted IIM-Calcutta to start a post graduate program in business analytics.  However, this is expected to be a two-year full-time residential program with high cost ramifications. So if you are planning to  enter the analytics bandwagon within the year, opt for certificate programs from Professional Institutes that give you a sound statistical and SAS grounding.

Innovations – start-ups, applications, vendor products

# Here is how Zipdial, a cool analytics startup in India, has leveraged the ‘missed calls’ feature of mobile phone usage into a business opportunity. It offers a unique data-driven marketing and analytics platform for marketing that can be used by major global brands  to take advantage of granular data on consumer preferences.Using their “missed call” strategy, Zipdial  is the bridge that Facebook and others need between consumer and analytics.

# In the Bollywood industry, where analytics deployment has already made inroads in the soon-to-touch $ 5 million mark, IBM’s  latest usage of Social Sentiment Index (SSI) to predict box office prospects of films by genre, may well shape what you watch in the theatre halls in future.

The successful application of the SSI methodology to predict Ramleela’s success in the box-office, is expected to be followed up by other film makers, compelling a ‘pause and re-think’ in the entire process of post-production, distribution and release strategies. All of this will be based on predictive analytics and Social Sentiment Index leveraged to decode the mantra of box office success.

# We wrap-up with news on the online retailing front. As the e-commerce race in the Indian space hots up, with Amazon doubling Flipkart’s investment of $1 billion, we can expect more dynamic and innovative use of analytics in the online retailing sector. Maybe we can have a case study?

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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 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 aredefinitely 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 certainly consider yourself ‘analytics ready’.

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

Disclaimer: The content is the author’s own views and assessment.

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