Immense amounts of data are created, stored and shared every single day. This acceleration in the digital world has created a higher demand for big data analytics professionals. Students currently enrolled in programs dedicated to big data analytics degrees will be leading pioneers in the future of big data. These professionals will be responsible for identifying patterns, correlations and trends in data to help various stakeholders make informative decisions that impact our day-to-day lives.
Big data analytics university programs are designed to administer analytical talent, train and teach the skills — such as programming language proficiency, quantitative analysis tool expertise and statistical knowledge — needed to interpret big data. Analysts predict the demand for industry education will only grow, making it essential for universities to adopt analytics-based degree programs. Learning to use cloud computing and other techniques in this rich, emerging field is proving to be extremely valuable to industries across the board. As each of these students becomes a metadata powerhouse, there are boundless ways for businesses to find value from their analytical insights.
As more and more uses are found for big data analytics, more businesses realize they aren’t tapping into the full potential of big data. In fact, most companies only analyze about 12 percent of the e-mails, text messages, social media, documents or other data-collecting channels available to them (Forrester). Big data analytics gives companies the opportunity to better understand their constituents and connect with them screen-to-screen. That’s a big reason employers are searching for analysts who can help turn public data into profit.
Employers aren’t the only ones cashing in. Careers in big data analytics are growing almost as fast as the data itself at a 100 percent rate, and are paying out big time; Forbes projects the median salary for a professional with big data expertise is $103,000 annually. Pursuing a career in big data analytics proves not only to yield job security and exemplary financial compensation, but also the ability to make new discoveries and reshape the field of data-driven technology.
Future Industry Benefits
A big trend surfacing in 2016 is cognitive improvement in machinery. Cognitive improvement “humanizes” machines to make them more advanced. In other words, these machines learn from data that is input over time, making it easier for them to predict and improve outcomes with fewer computing errors. It also solves human mistakes, such as medical errors or miscalculated analytics reports.
Experts have only begun to scratch the surface of the potential of big data analytics. As the field continues to grow, data scientists will continue to use their expertise, entrepreneurial thinking and innovation to spur scientific breakthroughs that will change the way people interact with technology all over the world.