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Showing posts from September, 2024

Understanding Revenue Payroll Notifications – RPN in Ireland

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  Revenue Payroll Notifications (RPN) are crucial for both employers and employees in Ireland’s payroll system. This blog will delve into various aspects of RPN, addressing common questions and misconceptions. Why is there no RPN for Employees? Revenue Payroll Notifications (RPN) are not directly provided to employees but are instead furnished to employers. The reason behind this is that the RPN contains detailed tax information that employers need to calculate the correct amount of tax to deduct from an employee’s pay. Employees do not need the RPN themselves as their primary concern is the net pay after deductions. However, they have access to similar information through their  payslips  and the Revenue’s online services. What is the RPN Tax? The RPN tax refers to the taxes calculated based on the details provided in the Revenue Payroll Notification. This document outlines how much tax should be deducted from an employee’s salary. It includes information on income tax, Universa

Guide – Employment Wage Subsidy Scheme (EWSS) in Ireland

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The Employment Wage Subsidy Scheme (EWSS) is one of the most significant support measures introduced by the Irish government to help businesses navigate the economic challenges brought on by the COVID-19 pandemic. Designed to support employers in retaining employees during times of reduced business activity, the EWSS has been a lifeline for many companies across Ireland. This blog will explore everything you need to know about the EWSS, including its purpose, eligibility criteria, application process, payment rates, compliance requirements, and much more. 1. Overview of the Employment Wage Subsidy Scheme (EWSS) The EWSS was introduced as a successor to the Temporary Wage Subsidy Scheme (TWSS), which was implemented at the height of the pandemic. While the TWSS was primarily focused on providing immediate financial relief, the EWSS aims to offer more sustained support as businesses work towards recovery. The primary goal of the EWSS is to maintain the link between employers and employ

Closing the Gap: Understanding the Gender Pay Gap in Ireland

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  The gender pay gap refers to the difference between the average hourly earnings of men and women. In Ireland, despite progress, achieving equal pay for equal work remains an ongoing challenge. This blog delves into the current state of the gender pay gap in Ireland, explores its causes, and examines initiatives aimed at achieving pay parity. The Numbers: Ireland’s Gender Pay Gap Ireland’s most recent national figures, from the Central Statistics Office’s Structure of Earnings Survey 2022, show a gender pay gap of 9.6%. This means men earned, on average, 9.6% more per hour than women. However, the picture is more complex when considering various factors. Sectoral Differences:  The gap varies significantly across sectors. The highest gap exists in finance, insurance, and real estate (24.7%), while education boasts the lowest (2.7%). Full-Time vs. Part-Time:  Interestingly, the gap flips for part-time workers. Here, women earn 6.9% more than men on ave

The Impact of Artificial Intelligence on Financial Services

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The Impact of Artificial Intelligence on Financial Services Artificial Intelligence (AI) has become a game-changer across various industries, and the financial services sector is no exception. As we move further into the 21st century, AI's influence on finance is becoming increasingly profound, transforming everything from investment strategies to customer service. This blog explores the multifaceted impact of AI on financial and   Payroll services , focusing on three main areas: investment strategies, fraud detection, and customer service. AI and Investment Strategies AI's impact on investment strategies has been nothing short of revolutionary. Traditional investment methods often relied heavily on human intuition and manual analysis, but AI has introduced a new level of precision and efficiency. Machine learning algorithms can analyze vast amounts of data far quicker than any human could, identifying patterns and trends that might not be immediately obvious. Algorithm

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