I believe that mediocre data hurt the ability of African countries to make good political decisions.
I also believe in the power of information. Improve economic and community development in Africa; All our sectors should take advantage of significant 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 salaries, 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 income, local environmental conditions and pollution patterns, quality of work and working conditions, and a number of 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 data and scientific data to shed light on how companies can better address the real priorities of African populations, investing in building healthy communities, improving social performance and financial performance, easing pressures on the poor, addressing environmental issues and creating jobs and isolating the most powerful social impact metrics to predict 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 data analysis can turn those raw ingredients into a truly valuable analysis that, hopefully, will double the economic and community development curve in Africa.
in the right direction.