I believe that mediocre data hurt the ability of African countries to make good policy decisions. I also believe in the power of information. To Improve economic and community development in Africa; All our sectors should take advantage of meaningful performance-data.To improve production and quality, we must prioritize the accuracy, timeliness, relevance, and availability of the data, in particular good quality data for national governments and institutions to plan, finance and accurately assess development activities.Take, for example, the problem of low wages.
How can we increase the payment more effectively above the subsistence wage levels to produce the greatest beneficial impact on those at the base of the salary pyramid? The subsistence wage levels are calculated locally and must consider all kinds of particular things for the specific circumstances of individual workers so that they have a real meaning. What data science can do is improve predictive power by injecting the much-needed human dimension; for example, beyond the simple increase in wages, what combinations of actions a company can undertake and in which communities, to generate the most lasting positive impact on the lives of employees and their families.How do you know, for example, if a company really pays a fair wage? Does it help strengthen the communities in which it operates so that working families can build a better future? Information on community health, economic and county-level income, local environmental conditions and pollution patterns, quality of work and working conditions, and many other aspects of socio-economic conditions in African countries are becoming more and more available. Many companies are taking the initiative to make the data available. All this is raw material for impact-oriented data science.Use of data and scientific data to shed light on how companies can better address the real priorities of African people, investing in building healthy communities, improving social performance and financial performance, easing pressures on the poor people, addressing environmental issues while creating jobs and isolation of social impact metrics that are more powerful in predicting future business performance. Industries on the continent can help provide the necessary raw materials. And from crowdsourcing, the best talents in the fields of data science, data science and analytics can turn those raw ingredients into truly valuable analysis that, hopefully, will bend the economic and community development curve in Africa.
in the right direction.
