The Federal Board of Revenue (FBR) has taken steps to improve the tax administration system with the launch of IRIS 2.0, an upgraded version of the tax filing system developed by Pakistan Revenue Automation Limited (PRAL). The new system targets the challenges faced by its predecessors, IRIS 1.0 and IRIS 1.1 while ushering in improved user experience, enhanced efficiency, and cost-saving measures for the FBR.
Smooth Filing Experience With IRIS 2.0
IRIS 2.0 marks a prominent shift in tax filing operations by streamlining the user experience and backend efficiency. The new version has undergone a major transformation, focusing on enhancing backend processes’ robustness; this improvement ensures taxpayers a smoother and faster filing experience, reducing processing times and minimizing delays.
With an intuitive front-end design, IRIS 2.0 offers taxpayers a user-friendly interface, making it easier to navigate through the filing process. This revamped interface aims to boost user satisfaction, encouraging more taxpayers to utilize the system effectively. By simplifying the tax filing procedure, IRIS 2.0 promotes compliance and helps in increasing tax revenues for the government.
Efficient Service Delivery
One of the key highlights of IRIS 2.0 is its ability to reduce hardware expenditures for the FBR. The upgraded version optimizes resource utilization during peak loads, minimizing the need for costly hardware upgrades. This cost-saving measure not only benefits the FBR’s budget but also allows for the efficient utilization of available resources.
Moreover, by adopting the new system, the FBR wishes to achieve greater efficiency in its tax filing operations. The system’s improved performance and streamlined processes result in faster data processing and reduced administrative burden. As a result, tax officials can allocate more time and effort to addressing complex tax matters and ensuring compliance, further enhancing the overall effectiveness of the FBR’s tax collection efforts.
Also read: FBR Plans to Set Up High-capacity Data Warehouse to Upgrade Data Analysis
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