I believe in the power of information. I also believe that to improve economic and community development in Africa; All our sectors will need to benefit from meaningful performance data. Take for example the problem of low wages. How can we most effectively raise wages above subsistence wage levels to produce the greatest beneficial impact on those at the bottom of the wage pyramid? Impact data science cannot simply compress performance into a single reductive metric (such as the number of workers not paying a single universal wage threshold relative to profitability), as it may miss important contributing factors (such as location geographical or family situations) of the workers) and lead to impractical and potentially ineffective solutions (such as increasing the payment of all workers with a fixed dollar amount). In truth, living wage levels are calculated locally and must take into account all sorts of factors specific to individual workers' specific circumstances for them to have any real meaning. What data science can do is improve predictive power by introducing the much-needed human dimension; for example, beyond simply increasing wages, what specific combinations of actions can be taken by a company, and in which communities, to generate the most lasting positive impact on the lives of employees and their families. Now it's a real data challenge! Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an Original EssayHow do you know, for example, if a company really pays a fair salary? Does it help the communities it serves to strengthen itself so that working families can build a better future? Information on community health, county-level and economic income, local environmental conditions and vector contamination, job quality and working conditions, and myriad other aspects of socioeconomic conditions is becoming more widely available. in African countries. Many companies are taking the initiative to make data available. All of this is raw material for exploring data science and its impact. When it comes to tracking social problems. Here, standards and metrics abound with reliable, consistent, and meaningful performance data. Technology and the demand for greater transparency help. For example, the set of customer opinions and quality data about products from social networks is enormous and increasing in usefulness. Please note: this is just an example. Get a custom article from our expert writers now. Get a custom essay Using science and data to shed light on how companies can better address the real priorities of Africans, including: investing in building healthy communities, improving social outcomes and financial performance, alleviating pressures on the poor Addressing the environment emphasizes job creation and isolating social impact metrics that are most powerful in predicting future business performance. African countries desperately need data and insights to make impact investing more results-driven. By collecting and making more diverse performance data more easily accessible, the continent's industries can help provide needed raw materials. And by crowdsourcing top talent in science, science and data analytics can turn those raw ingredients into truly valuable analytics that will hopefully bend the curve.