Overview of Oracle Human Resources Analytics

Machine learning is a powerful technology that allows computers to learn and improve from data without being explicitly programmed. This innovative approach to problem-solving is increasingly used in various domains, including finance, healthcare, and telecommunications. It involves building algorithms that can automatically learn and make predictions or decisions based on data. One key advantage of machine learning is its ability to handle large, complex datasets that would be nearly impossible for humans to process. With the use of statistical models and algorithms, machine learning can identify patterns and trends

The process of paying salaries is referred to as payroll. It begins with preparing a payroll list and concludes with the recording of expenses. It's a complicated procedure requiring collaboration among several departments, including payroll, HR, and finance. However, organizations can easily manage all of the difficulties by utilizing contemporary technology. Simply defined, the procedure calculates what is owed to employees for a specific payroll cycle after taking into account mandatory deductions such as TDS, employee PF contributions, meal coupons, etc. The time between two salary disbursements is defined as a payroll cycle. Salaries might be paid weekly, biweekly, or monthly, depending on the needs of the business. In India, it's typically processed once a month.

Charting is a powerful feature that allows users to visually display data in the form of graphs, charts, and diagrams. With the use of this feature, users can easily analyze and present complex data sets in a comprehensive and organized manner. Charting provides an interactive platform for users to create, customize and manipulate various types of visual representations such as line charts, bar graphs, scatter plots, and more. One of the key benefits of Charting is its ability to highlight patterns, trends, and relationships