A huge amount of data is dealt with by various departments. These data are stored in various types of data stores. Also, the nature of these data is quite heterogeneous. These data can be stored in big data platforms so that statistical data modeling can be conducted to gain analytical insights. These data can be used to track KPIs and for informed decision making (depending on the department). For example, the education department would like to have dashboards full of KPIs such as the number of active schools, percentage of college dropouts, teacher-student ratio, etc.