Qualitative data analysis involves the engagement of a target population (e.g. stakeholders) to retrieve relevant insights/feedback via focus groups, observations, and surveys. The objectives can be either confirmatory or exploratory, especially helpful to ascertain the political feasibility of development programs, or public reactions to organizational behavior.
Quantitative differential analytics refers to the scientific approach of deriving meaning from numerical data, specifically appreciating the before- and after-effects of a significant event (e.g. program or policy), and the performance difference between an expected an actual outcome. This approach allows organizations to celebrate positive and mitigate negative impacts.
The predictive modeling of a system's operational dynamics yields a valuable holistic, stocks-and-flows image of a current set of circumstances, as well as what would change if a new variable is introduced. It is commonly applied in the public sector to identify and invest resources in high impact leverage points which would produce sustainable positive results over the long-term.