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5 Reasons Why Big Data Analytics is the Best Career Move

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Industries are only just realizing the significance of data and how effectively data management can play a role in propelling business success. If you have a look at the job market lately, there is a heightened demand for individuals dabbling in Big Data and machine learning. As we’ve entered a highly-digitized era, corporations have integrated AI-enabled solutions and Big Data models to facilitate greater operational efficiency and risk management.

That being said, it comes as no surprise that the adoption of Big Data Analytics is picking up pace. As organizations turn to analytics for creating better data models, they are in dire need of skilled experts that are proficient in all things data management. The global IT market is expanding, and now is the right time to consider a career shift; if you’re looking for more lucrative opportunities.

This post illustrates five reasons why Big Data is all the rage and the best career move you could ever make.
1. High Demand for Analytics Professionals
Over the last decade, we’ve seen hundreds of IT-centric businesses sprout from the ground up. As industries become more technologically-inclined, there’s a high demand for tech-savvy individuals in organizations. The size of analytical marketing has grown exponentially, and with that, there’s an urgent need for qualified data professionals.

In fact, many enterprises are now investing in training their staff on the significance of Big Data to milk the benefits of technology and boost result efficiency. If you take a look at any job portal, it’s quite telling how there is a growing number of vacancies for IT professionals. Executives are looking for experts that can efficiently sift through vast volumes of data and extract useful information that is critical for their success. If you’re proficient in data management and data analytics, then you’ll find a variety of job opportunities in this field with handsome salary packages.

A senior IT executive at Accenture, Jeanne Harris, said that Data is useless without the skill to analyze it and humans provide that essential skill. This requirement is just the beginning of Big Data analytics. Srikanth Velamakanni, the Bangalore based cofounder of CA headquartered Fractal Analytics, predicts that analytics marketing will expand from one-tenth to covering one-third of the global IT market.

2.Growing Adoption of AI and Big Data in Industries
Previously, scientists and researchers used traditional methods to justify theories and backup scientific claims. This took the collaborative effort of a large number of people to do experiments and record results based on their observations. Similar was the situation in other businesses related to the manufacturing of products and providing services. Looking through large amounts of data to draw conclusions began to become a tedious task for various organizations.

This is where technological advancements came in to play. Data scientists have discovered the numerous ways by which computers can handle these tasks and relieve workers of such repetitive and mundane tasks. Vast research conducted through machine learning has led to the implementation of AI technology in various experiments bringing exceptional outcomes. Many companies are learning to adapt machine learning algorithms that can help in understanding the demands of the public and how they can satisfy them. It also helps in finding solutions to the everyday problems that people encounter.

For example, a mobile app development Houston service provider can hire a machine learning scientist in order to devise algorithms that test apps for any bugs and gives them suggestions to improve them.

Sectors That Are Recruiting Big Data Professionals
The global pandemic crisis has shaken industries to their core. In these tragic times, many industries turned to AI and Machine Learning to help keep their businesses afloat and leverage Big Data to predict how they can better serve consumers in the future.
In fact, industries are hunting for Data and Machine learning scientists, engineers to face the challenges in the present. Sectors that are employing Data analysts are as follows:
• Healthcare and scientific research sector
• Information technology sector
• Manufacturing sector
• Energy
• Finance and Insurance sector
• Retail and trade sector
• Transportation

3.Key to Many Job Titles and Opportunities
The field of Data science branches to a number of categories in which big data professionals can apply. This depends on the skills they have attained through learning and experience. Based on the criteria and their interests, they can advance in a career path of their choice and apply for a job title that suits their specifications.
Below is a list of the roles that are current in-demand:
• Data scientist: Collects, cleans, and analyses data.
• Big Data Engineer: Draws results from a vast amount of data collected and manages big data infrastructure.
• Big Data Analyst: Collect data from various sources and company stores, analyze data, and get useful information for the benefit of a company.
• Data visualization developer: Visualizing and designing analytical reports, dashboards to display possibilities for revenue increment based on sales and customer data.

4. Analytics: A Key Factor in Decision Making
It was only recently that different industries have begun implementing machine learning and AI technology for improving business operations and boosting workforce productivity. In order for organizations to maximize their potential and drive breakthroughs, they need to use big data analytics for all their organizational procedures. Huge amounts of data need to be collected, organized, represented, and analyzed to draw conclusions and predict possible risks and benefits. Big data analytics has become a vital role in business strategies as it helps executives in making profitable decisions and initiates enterprise success.

Over to You
Without a human expert to understand and train the system to perform in a certain way, we can’t fully utilize the potential of Big Data Analytics. The compelling need for skilled talent that can interpret the complexity of big data has created immense opportunities for job seekers in various sectors.

Not only that, but the salary is quite generous as well, and there are other career-related benefits accompanied by the job that can help professionals excel in the field. If you chose this career path, you’d be given top priority in any organization, and your skills would be heavily appreciated.

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