Ultimately, QuantifyAfrica aims at providing value from the data, statistical methods, and software stack. We will present the data, the modeling results, comparisons, and other statistical summaries in a way to easily comprehend the findings from the data. Visualization also plays a major role in communicating the results.
Insights Generation
The set of statistical analyses for a given study is chosen to provide a coherent process to answering the research question(s). We summarize each statistical analysis step, present it by highlighting important findings, and how they contribute to the overall analysis. Often modeling outputs and their validation are too complex for non-modelers. QuantifyAfrica focuses on presenting modeling results and findings in a non technical matter, while making the statistical validation available for deeper inspection of the models.
Data analysis must provide value by effectively supporting decision-making.
Data Visualization
Data visualization is one of the most effective ways of communicating data analysis results. While the simplified nature of statistical visualization may lead to some disadvantages (e.g biased or inaccurate perceptions), QuantifyAfrica strongly believes that data visualization must be a core tool for communicating insights.
We also use data visualization for monitoring processes, reporting KPIs, and much more.
Reporting
Reports are important tools for communicating findings and core messages. Traditional reporting tools, designed for printing, are more challenging to keep in sync with the data and by nature not interactive. At QuantifyAfrica, we invest in reporting systems that allow real-time updates and interactivity with the data.