PFMS training conducted for J&K Planning, Finance Officers

Srinagar: The J&K Finance Department on Thursday organized a training program on the Public Financial Management System (PFMS), in collaboration with Ministry of Finance PFMS Division New Delhi and SD PFMS J&K in the Civil Secretariat Srinagar.
Led by PFMS expert trainers from both Delhi and J&K, the program focused on various PFMS modules, including Single Nodal Agency (SNA), Direct Benefit Transfer (DBT), and report generation of centrally sponsored schemes.
Over 120 participants comprising of Planning and Finance Officers from various Departments and Chief Planning/ Districts Statistics & Evaluation Officers from all 20 Districts attended the training programme either in person or through virtual mode.
The participants gained insights into crucial operations related to financial management of centrally sponsored schemes like on-boarding state linked schemes on PFMS portal, creation of child agencies, vendor management and beneficiary payments.
Key highlights of the training included discussions on setting drawing limits, hierarchy mapping, and effective report utilization.
Emphasis was placed on optimizing PFMS for streamlined financial operations and accurate reporting.
The two days training, inaugurated jointly by Director Expenditure Madan Gopal Sharma, Director General Budget, Yaqoob Itoo and State Nodal Officer, Shakeel Maqbool, emphasized the importance of utilizing PFMS for efficient financial management of centrally sponsored schemes.
Participants were encouraged to leverage the platform for accurate reporting and streamlined operations. Officers were advised to avail this opportunity and get all their doubts about PFMS clarified from the experts who have come from New Delhi in the final session of the training to be held on 3rd May 2024.
This training shall enrich knowledge of J&K Government Officers in making effective use of PFMS platform for financial management and monitoring centrally sponsored schemes which benefit a large section of our population.