5 Reasons why Big Data Analytics is the Best Career Move
Companies are continuously evaluating technological trends to determine how they can push to achieve and surpass, their goals. One such recent trend is the use of big data analytics, and its scope is astounding. Today, almost every company, no matter what domain is, they are using the same in order to collect and preserve whatever data is being generated, for the fear of missing out on something important.
With the use of Big Data platforms, a gigantic amount of data can be brought together and be processed to develop patterns which would help the company in making better decisions which would help them to grow, increase their productivity and to help create value to their products and services.
Why Choose a Career in Big Data?
1. Easy to Start
Data Analytics defines the involvement of programming frameworks that include Java, C, Python, or Scala. However, the ability to think of ways to break through to a solution is also important. Having a strong desire for finding solutions regardless of the profession you are pursuing now, data analytics makes it easier and interesting for learning the languages. You will also get the basic knowledge about OOPS programming. It will also give you an idea about the UNIX and LINUX platforms.
2. Soaring Demand for Analytics Professionals
We all know the fact that the data is useless without the skill to analyze it and that is why there are more job opportunities in Big Data management and Analytics than anything else. In comparison to last many years, today, it is highly in demand and that is why many IT professionals along with other career aspirants are prepared to invest time and money for the training. Big Data Analytics is considered to be the most wanted expertise by 75 percent Internet of Things (IoT) providers, and over 68 percent of them are struggling to find employees with relevant expertise.
3. Salary Aspects
Strong demand for Data Analytics skills is boosting the wages for qualified professionals and making Big Data pay big bucks for the right skill. There is a positive and exponential escalation in salary trends for professionals in the field of Big Data Analytics. Anybody, who is associated with the big data analytics, they can easily assure to have the best monetary benefits to join Data Analytics career. However, if you are an IT professional and don’t know anything about Big Data, you better get trained and you can see more improvement in pay and perks than any other IT job.
4. You’ll find it everywhere!
Big Data Analytics is used everywhere. The analytics are responsible for figuring out cost-effective solutions and improving decision-making power. The job opportunities exist in different domains such as healthcare, media, manufacturing, education, retail, and real estate. This gives an opportunity of selecting from a variety of industries to match the level of skills.
5. A Key Factor in Decision making
Analytics becomes a primary competitive resource for every organization these days today. At an ‘Analytics Advantage’ survey conducted, 96% of the respondents felt that big data would help revolutionise their organisation in the next few years. When you enable superior decision-making capabilities and make use of strategic initiatives, the analytics stands out against the alternatives lying in the competition. In this context, we can say that Big Data Analytics will succeed in adding greater value and will present the vital information for taking the business levels to a greater height.
Analytics no matter how advanced they do not remove the need for human insights. On the contrary, there is a compelling need for skilled people with the ability to understand data, think from the business point of view and come up with insights. There is always going to be a demand for professionals with analytical skills so that organizations can benefit from using Big Data. For this very reason, technology professionals with Analytics skill are finding themselves in high demand as businesses look to harness the power of Big Data.