There are 3 components to the below dashboard.
- Predictive Impact Analysis
- Prescriptive Modelling
- Recommended Budget Allocation
In Predictive Impact Analysis dashboard, we can see the impact of different factors on MMR. We can intervene on a factor by selecting it from the dropdown menu and change it by any amount (eg: +10% , -10% etc) and we can see the corresponding changes in MMR at district level as well as taluk level.
In Prescriptive modelling dashboard, we can set the target MMR and the model outputs the prescribed values of different factors in order to achieve the specified target MMR. We can also see the corresponding change in MMR at the district level and taluk level by adopting these prescribed values of the factor. We can also see sensitivities of different factors which talks about the importance of the factor and it ranges from 0 to 1. If a domain expert deems a specific factor as unimportant, they can assign a sensitivity value of 0. For factors considered partially important, a sensitivity value of 0.5 can be assigned. If the expert believes the factor unquestionably plays a role, they have the option to set its sensitivity to 1.
Finally, the dashboard includes a feature for budget allocation. Positioned at the top is a pie chart derived from slopes obtained from multiple linear regression. A high slope for a factor indicates a substantial impact on MMR, prompting a prioritized budget allocation to that specific factor. The methodology systematically distributes the budget to address the requirements of various taluks and districts. Here, as well, we can see the sensitivities of the factors. If the policy maker/domain expert thinks that a particular factor plays no role, he can set its sensitivity value to 0 and the budget allocation model will automatically get re-adjusted.
