Analytics is a Tidal Wave in the World of TechnologyInformation TechnologyUpdated on May 1, 2018 View more like this | Visit India, UN | Contact Mac Wills |
The Indian analytics industry is projected to grow eightfold to become worth $ 16 billion by 2025. So, it is evident that the Indian market for analytics is well on its way to make it huge. All the more exciting news for the analytics enthusiasts is that the median salary for analysts in India has increased by 8% from last year. And it is growing year on year. This stands in stark contrast with the overall scenario of the IT industries. Giants like Infosys are delaying appraisals and cutting it low. While the picture in the job market is increasingly gloomy, the analytics industry gives some respite.
A sustainable industry
The popularity and applicability of big data analytics could have run it course and worn itself out like most other trends. But that is least likely in this case. Why?
1. Analytics is earning big bucks for large corporations as well as keeping the smaller enterprises alive and in the game.
2. The public sector is incessantly adapting the advanced analytics technologies to solve many social and administrative problems.
3. Analytics is proving its utility in all fields of commerce.
The data analytics market works on a very simple principle. It helps a company understand its customer and improve its product, resultantly increasing profits. That is probably all that matters. But it does more.
Transforming the world
The accessibility of data has made is possible to find out truths which can be effective in many ways in the cause of humanity. The first major use of predictive analytics technology was done by Google to prevent the spread of an epidemic.
Today, with the help of big data analytics, it is easier for public representatives to really know their people and to set the priorities.
Healthcare Analytics and use of machine learning in healthcare procedures can really revolutionize the system in India. It can be easier to provide emergency services to a larger group of people nationwide.
A win win situation
Learning analytics can really help you take a leap in your career. Firstly you will be earning more than most other tech workers. Secondly there is less chance of a lay off, provided you perform well, because there is a widening skill gap. Thirdly your job never becomes to boring. That is what you call a win win situation. Isn't it?
How to go about it?
If you are already trained in the basic concepts of statistics and computer science, why not start with a programming language which is considered one of the best for data science practices. Getting R analytics training is a good way to start. You can keep on learning as it suits you and when it suits you. You can consolidate your position by learning another language like Python or SAS. Then you can move on to the rather complex areas of machine learning and deep learning. It is a long journey indeed. The further you go the better for your career. With training and experience you can really make it huge in this industry. Because it is becoming an essential part of every industry there is.
A sustainable industry
The popularity and applicability of big data analytics could have run it course and worn itself out like most other trends. But that is least likely in this case. Why?
1. Analytics is earning big bucks for large corporations as well as keeping the smaller enterprises alive and in the game.
2. The public sector is incessantly adapting the advanced analytics technologies to solve many social and administrative problems.
3. Analytics is proving its utility in all fields of commerce.
The data analytics market works on a very simple principle. It helps a company understand its customer and improve its product, resultantly increasing profits. That is probably all that matters. But it does more.
Transforming the world
The accessibility of data has made is possible to find out truths which can be effective in many ways in the cause of humanity. The first major use of predictive analytics technology was done by Google to prevent the spread of an epidemic.
Today, with the help of big data analytics, it is easier for public representatives to really know their people and to set the priorities.
Healthcare Analytics and use of machine learning in healthcare procedures can really revolutionize the system in India. It can be easier to provide emergency services to a larger group of people nationwide.
A win win situation
Learning analytics can really help you take a leap in your career. Firstly you will be earning more than most other tech workers. Secondly there is less chance of a lay off, provided you perform well, because there is a widening skill gap. Thirdly your job never becomes to boring. That is what you call a win win situation. Isn't it?
How to go about it?
If you are already trained in the basic concepts of statistics and computer science, why not start with a programming language which is considered one of the best for data science practices. Getting R analytics training is a good way to start. You can keep on learning as it suits you and when it suits you. You can consolidate your position by learning another language like Python or SAS. Then you can move on to the rather complex areas of machine learning and deep learning. It is a long journey indeed. The further you go the better for your career. With training and experience you can really make it huge in this industry. Because it is becoming an essential part of every industry there is.
