According to the report published by The Economist in 2017, data has surpassed oil as the most expensive commodity on the planet. Yes, data has stepped up as the new commodity in this fast-growing economy. The reason for the same can be the distrust that people have shown over the business and social platforms.
The top firms like Facebook, Amazon and Google are the prime contenders for possessing data. Data has become the digital oil as we move forward to the new era of technology and hence the need for data sciences arises. The possession of data isn’t a crime or harmful per se, but data breaches and illegal possession of data are where it gets dangerous.
The global Data Science industry is predicted to be worth more than $115 billion by 2023. - PRNewswire
A business must collect data to develop its business, yet it shouldn't result in insecurity in the population's minds. The Cambridge Analytica issue, for example, depicts how these business giants can initiate unfair practices. Are Such instances harmful to the population or the market in general?
Can data science be used for business development and help get rid of the issues and create a safer environment for users? Let’s discuss the same in this blog.
Unless the experts in the fields are equipped to turn cutting-edge technology into visible insights, Big Data isn’t useful. It’s now a reality more than a mere truth that businesses are now indeed awash with overflowing data. Data scientists are the only vigilantes that can save businesses from such crises.
Here is how data science is adding value to businesses:
The earliest proof of data analytics use is depicted through the public policies for better sanitisation for the British soldiers. - datacamp
Data science definitely adds value to the various business processes when implemented effectively. From drawing insights and statistical data for the workflows of the current workforce to hiring new employees or making informed decisions, data science is absolutely a valuable tool that any and every industry needs.
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Data scientists ranked at #6 among the top ten most in-demand professions globally, according to Indeed. The fourth digital revolution is underway, and so are the new emerging opportunities in various industries. If you plan on pursuing a career in the data science field, a few must-know firms in Australia are changing the game for the better.
It is one of the learning tech firms in Australia dedicated to assisting businesses in decision making and resolving complex data-oriented issues. Working through big data, cloud computing, establishing FTP/API and managing data leaks are among the highlighted services offered at Unisys.
The data science teams at VMWare are apt at delivering IT support through artificial intelligence platforms. They are responsible for developing and enhancing tech solutions for pre-existing digital platforms by teaming up with various businesses' developers and stakeholders.
The average salary of a senior data scientist in Australia is around 73,459 Australian dollars - ABS
Data science experts at SAP help reinvent the application software used by different businesses worldwide. As a leading tech firm, SAP focuses on the entrepreneurial spirit and innovative aspects to design solutions best suited for the varying nature of the various businesses.
Using data science for business development is done better by this firm as they view data as the digital currency that is of the utmost importance for organisations. Data is indeed a critical asset for managing and developing organisational merit. Veritas is particularly developing solutions concerning various corporations' big data and data analytics.
The nbn data experts are working toward resolving the tech ecosystem-wide issues in communication, network convergence, implementation of automated technologies, and analytics. They use advanced analysis techniques to resolve issues in new innovations and conquer challenges per evolving business requirements.
All these tech firms are the game-changers in the field. All of them are continuously working towards helping businesses adapt to the new age technologies and optimising the best solutions for the ever-evolving nature of the industry. It isn't easy for every business to implement and smoothly adapt to the latest trends and technologies.
Hence, data analytics and data science management are required to resolve all such issues faced by businesses and develop strategies that focus on big data management and machine learning.
Data Scientist is among the fast emerging and most sought career choices. As reported by LinkedIn, it has been dominating the job rankings globally with a 37 per cent hiring rate for three years now. Data science in the business environment is transforming almost every business and industry; it is becoming popular by the day. Here are the top ten data science trends in 2022:
Over 80 per cent of Australian corporations have been using big data analytics for data management in the recent 12 months. - International Data Corporation
These are the top data science trends in 2022 that will continue to make tech services more efficient. Data science will stay in the limelight in the future as well, and the need for data analytics, AI, and machine learning will grow manifold, resulting in innovation and employment opportunities.
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