Big data analytics is nowhere close to maturity right so what we meant whenever you know I get folks comparing the scenario in analytics versus information technology or IT services companies I think a couple of months that we have to understand is that you know the analytics industry grows at about 30 to 35 percent at annually right and that's a conservative estimate well as the IT industry currently is growing about 6 to 7% and that's like a best-case estimate so of course there will be a massive difference that you see in terms of you know what kind of career options and what kind of career growth you have across these two industries if you look at the global opportunity and that also is massive if you look at u.s. of the country.

You'll see that you know some of the best paying jobs right now are in analytics consultant all right and you can see that and that is kind of at par with some of the highest paid jobs that exist in the u.s. so so all the all the typical you know analytics or data related jobs are now starting to you know get more remuneration as compared to other conventional industries and all of that to be honest is primarily a function of demand and supply the demand in the market for such trained talent far far outstrips than the supply of their trained talent and that is why companies are ready to pay that premium and hence now is probably the best time for anyone to step into this industry because people who are getting trained and stepping into the industry now will have you know a fantastic career outcome for the next decade or two or more you know so as an analogy what is often quoted is that it is similar to the opportunity that IT professionals had when they entered you know in the early 90s so the folks wintered in the IT services company citizen forces of a pro.

TCS in the early 90s you know went on to have very very fulfilling careers for the next 15 20 years you know and it's only in the last two-three years that the IT services industry has actually matured and you know it's kind of I won't say stagnating but I slowed down in terms of growth whereas the same scenario now exists in analytics and big data that people who are entering it now because this is that phase where it's taking off in its growth path and who are entering it right now will have the same kind of opportunity and the same kind of outcomes professionally in the next two decades another aspect here which candidates of an overlook is also the career growth that happens and that again is you know is a factor of the growth name industry right because analytics as an industry is totally right now one of the fastest-growing industry get about 35% colonial in India.

You know and contrast that with IT services including four six or seven percent right so you need your console for interest rate is going up about 6x that professionals have within that industry is also immense and this chart actually kind of indicates you know the growth in salaries that on at an average level that professionals are making in the analytics industry and two things are crucial here what you can also see is the jump that people are getting between the different some brackets that 0 3 4 to say you know when once you put on 3 to the next bracket in the kind of increases that happens and second he is the year-on-year growth so the red one is the current even the black one as the previous here and you can see it especially early on in your career you know the the succession or the successive growth that you're getting in germination is really good of course as you go become senior and you have more than 15 20 years of experience you know the percentage points would be lesser but even then when you compare it with conventional industries you know that it will be far better and far higher than what you're getting there so the question is why is the analysis required consent you know.

So we've already seen in that data is now already become a critical aspect for most companies like so most companies it is not just about storing data but it's also about working on that large amounts of data and deriving insights from it and as our rules involved you know as the job descriptions and kre so various rules change what we are seeing in the industry is that almost most of the consequential rules will have some amount of data-driven decision-making in it you know irrespective whether your your letter C X position or whether you are at an analyst position increasingly to do your job better and to grow in your career data-driven decision making is an absolutely essential skill set that companies have started to expect and this was resonated in in the recent Gartner study where they said that you know by 2020 every knowledge profession and knowledge professionals the skills skilled working class that is there so every knowledge professional has to be a data scientist of course the amount of you know data science that you use or the models you build or deploy will vary greatly with the you know the company the role and the maturity of adoption of analytics but putting all of the other side you know it is hard to foresee a future for the professionals well they are not data driven and hence data analysis and data driven decision making are essentials key you know skill sets but all professionals would probably.

If I kind of circle back to the current scenario that we see in IT companies and I am sure you all have experienced it or heard about it in great detail is there is a massive churn or a massive uncertainty that exists in the IT services companies today and a lot of it has been written in the media as well and the reason for that is what we call internally as a transition from scale to skill you know traditionally IT companies the whole business model was built around scale that's how many full-time equivalents can I assign to a given project and for how many days now because though because the businesses that they are serving itself they've changed and you know there's so much of automation that's coming in there's so much of efficiency and data-driven approach that coming in that the whole full time equivalent business model doesn't work anymore you know no no client today one needs to build a project or cost a project on the basis of number of people who are working on it like it is all about the competence of the team that's working on it so hence it it has moved the whole pricing model itself has moved from scale that the number of people working on a project to skill which is how competent of the people working on this going to project right and that is the direction that the companies have to chart which is why you know right from Infosys to - TCS to the pro - Accenture IBM anybody you name it they all are making a major major push in terms of going digital in that businesses and digital is a function of you know being data-driven and for professionals working in these industries that what this means is that that is the future right so the future belongs to people who are going to be competent in skill sets that are in high demand right and I'll fix big data and data science are technically high demand skill sets that exist.

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