The Minister of Labour and Productivity, Chief Emeka Wogu, has commissioned an Automated Data Base management system, with a stand-alone server to enable error free handling of the large number of beneficiaries under the Community Services, Women and Youths Employment Project of SURE-P. The Minister who was represented at the occasion by the Permanent Secretary, Federal Ministry of Labour and Productivity, Dr. Clement Illoh, stated that the move for an automated Data Base Server System became necessary in view of the large number of beneficiaries numbering at least 3000 in each state and the FCT with plans to increase to 10,600 in 2014. According to him “the automated Data Base Server System became absolutely necessary in view of the large number of beneficiaries data in all the 36 states of the Federation and the FCT. Therefore this mini component of the project is a manifestation of the need to ensure error free accountability principle in the delivery of the best services to the beneficiaries of the CSWYE project. Speaking further, Illoh assured Nigerians that the CSWYE project domiciled in the Federal Ministry of Labour and Productivity will not rest on its oars but will strive towards ensuring the success of the Transformation Agenda of the Administration of President Goodluck Ebele Jonathan GCFR, which is aimed at job creation for the teeming unemployed Nigerian Youths. “I have no doubt that CSWYE have recorded tremendous milestones and will continue to record more achievements in the coming years. This project is an eye-opener for us in terms of the pursuit of the Transformation Agenda of the present Administration” especially in the employment sector,” Illoh stated. Earlier in her remarks, the Project Director of the CSWYE, Dr. Martina Nwordu affirmed that, the automated Data Base System is a solution to all database management related challenges. “This Data Base is special in the sense that this system enables us to run through large data and bring up reports that will represent various queries as well as prevent data management related fraud” Dr. Martina said.
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