–aims to enhance policy-making decisions

DUE to the lack of coordination, limited and scarcity of data within the Agriculture sector, the Food and Agriculture Organisation (FAO) of the United Nations (UN), has embarked on a training programme to enhance the statistical analysis capabilities of stakeholders within the Sector.“The lack of coordination, limited and scarcity of data have been major contributors towards the downfall in decision-making within the agriculture sector,” said FAO’s representative to Guyana Ruben Robertson, as he emhpasised that the training would be in-depth and would focus on the key areas of statistical data analysis as it relates to the agriculture sector.
With a week-long programme which commenced Monday at the Regency Suite, 22 persons from the various stakeholder organisations will undergo training from FAO’s regional and international statistical analysts.
Speaking to the gathering yesterday, representative from the Ministry of Agriculture, Denzil Roberts lauded the programme, highlighting that, “the training which is based on statistical data analysis for evidence-based policy-making, will indeed contribute towards the improvement in better policy-making decisions from the level of the Ministry.”
There has been a serious deficiency in personnel, as it relates to data analysis, as such by training the stakeholders it will enhance the capacity of decision-making and the efficiency of the personnel within the area of statistics.
The enhancement of statistical data analyst has been increasing in other sectors as well, for instance, with the Tourism industry recently announcing their increased interest in the collection of statistical data.
Meanwhile, Robertson disclosed that decision-making within the agricultural sector was difficult due to the lack of evidence.
As such once edified on the niches and tactical ways in statistical data analysis, the contributions from the stakeholders will prove beneficial not just to themselves but also when it comes to decision-making within the Ministry of Agriculture.