Business Analysis, Data and Artificial Intelligence

Business Analysis (BA) is a critical discipline that bridges the gap between an organisation's needs and IT solutions. BA helps identify opportunities for improvement, evaluate current processes, and recommend changes that help businesses achieve their goals. This involves gathering requirements, leveraging internal and external data for better decision-making, and ultimately enhancing operational efficiency and growth.  

“Big data” refers to datasets in large volumes collected and analysed by organisations to reveal any critical trends, patterns, or associations. Such information is then typically used to gain meaningful consumer or market insights, helping companies make strategic business decisions.

Artificial Intelligence (AI), is the capacity for machines to be able to perform work that typically require human thought. This ranges from routine activities like text editing and product packaging to more complex tasks, such as processing big data, enhancing data accuracy, and automating predictive analytics.

Lumify Learn currently offers a variety of business analysis, data science and AI courses. These programs arm you with the core concepts, tools, fundamental and practical skills to navigate your career. Explore essential business analysis areas through our Business Analysis Certified Professional course. Gain expertise in data services and AI solutions with our Certified Data Science Professional program, and develop the skills to navigate Microsoft Azure’s databases through our Certified Data Analytics Professional course. 

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Career opportunities

Tech Talk

Why Study Data and AI?

As we venture into an increasingly digital era, the world of big data is only set to grow. Researchers estimate that we produce at least 2.5 quintillion bytes of data each day. All this creates immense opportunities for professionals skilled in managing, analysing, and leveraging data to drive business growth.

Artificial intelligence (AI) and big data are interdependent, enhancing the other’s capabilities. AI uses large datasets to improve algorithms and automate routine data analysis tasks. The vast amounts of data we generate fuel AI development, enabling more sophisticated insights and solutions. As businesses increasingly rely on digital platforms and information, the demand for data professionals, including data analysts and data scientists, will rise across sectors like finance, healthcare, technology, and retail.

Business Analysis (BA) is a crucial component in this digital landscape. Business analysts connect business needs to technology. They identify trends, interpret data, and develop strategies for improvement. BAs also help organisations make data-driven decisions, often powered by AI tools and insights. Studying Business Analysis equips professionals with the skills needed to navigate the growing complexity of data and AI, making them key players in digitally transforming industries. 

Now is the best time for those considering a business analysis, data, or AI career. Data professionals are currently in high demand across all sectors because of the increasing reliance on data to improve efficiency and profitability. 

SEEK predicts over 20% growth in BA and Data-related roles in the next 5 years. 

There is also a surge in demand for AI professionals. Australia faces a significant talent shortage as AI continues to revolutionise industries — from healthcare to manufacturing. CSIRO forecasts that by 2030, the country will require an additional 200,000 AI specialists. Those with AI expertise can expect high earning potential, with average salaries of around AU $120,000 annually. This includes opportunities to work on cutting-edge innovations across diverse sectors. 

Together, business analysis, data, and AI offer exciting career pathways, each supporting the other to drive progress and innovation. For those looking to future-proof their careers, studying any of these fields opens doors to dynamic, high-earning roles across various industries with robust growth prospects. 

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