Covering the essentials of business intelligence, explore the features & functions for an overview.
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The position of data scientist has been a top job in the U.S. for four years running, according to Glassdoor. By 2026, the U.S. Bureau of Labor Statistics predicts that the demand for data science skills will drive a 27.9 percent rise in employment.
In the wake of the looming recession and the worst job market since the Great Depression, the opportunities in data-related fields continue to rise. Along with in-demand data scientist positions and cloud engineers, organizations are searching for candidates for other data-related roles.
As organizations grow, they’re compiling large volumes of data to analyze and manage. A data steward is responsible for an organization’s data governance and ensuring that the data elements, such as content and metadata, are of high quality. The data steward ensures that policies and standards are put in place to ensure compliance and data security, as well as ensuring that the domain data assets are leveraged to the fullest capacity. Data stewards are also tasked with making sure the information within the business stays accurate and up to date for organizational efficiency.
The role of artificial intelligence (AI) architect has been an in-demand job for a few years, and that demand is only growing. AI architects are essential to a technologically advanced future, ensuring that analytics and AI solutions are capable, agile, and future-proof. AI architects must understand the information and architecture, as well as the current technology landscape, to build adaptable options that work for both current and future business demands. For this, AI architects must understand business needs and translate them into actionable solutions with leading AI technology.
Edge analytics is a model of data analysis that analyzes incoming data streams at a non-central point, such as a switch or peripheral node, instead of waiting for the data to arrive at a centralized data store. The boom of the Internet of Things (IoT), and its value to industries ranging from telecommunications to health care, has created a challenge in using the data that the network’s edge produces. As a result, edge analysts have become one of the most important roles for the future of data-driven businesses.
Edge analysts are often responsible for predictive models, risk management calculations and modeling, marketing performance, and more. As IoT becomes widely adopted, roles and responsibilities for edge analysts are likely to expand.
As the volume of data grows within organizations, roles like data engineers, data analysts, and data scientists become more in demand. The DataOps role oversees all of it, from the top of the organization down, breaking down the barriers between data analytics and operations. The DataOps engineer makes the data accessible to all users and designs the pipeline of data to be agile and responsive, ensuring that data is used to its fullest potential.
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If you’re considering the switch to cloud-based ERP like Oracle Cloud ERP Financials, Oracle Cloud ERP HCM, NetSuite for your business, there’s no better time. As data volume grows, agile and scalable technology solutions are a necessity. With Orbit Reporting & Analytics, you can seamlessly integrate your reporting and analytics solutions with the most popular business applications, including Oracle Cloud ERP Financials, Oracle Cloud ERP HCM, Oracle E-Business Suite, PeopleSoft,NetSuite, and Taleo. Request your demo today and set your business up for success!