Data Driven Governance to Drive Development in Meghalaya
South West Garo Hills district in Meghalaya was plagued by low levels of income and education, and a lack of Institutional deliveries. The latest figures of the National Family Health Survey 4 conducted in 2015-16 show the national rural average to 75% but Meghalaya still lagged behind at 45.4%.
IMPROVING OUTCOMES IN HEALTH, NUTRITION, EDUCATION AND RURAL DEVELOPMENT
CDFI is collaborating with the State Government of Meghalaya to improve key indicators in areas of Health, Education, Nutrition and Rural Development under an initiative called MOTHER (Meghalaya’s Outcome Oriented Transformation in Health, Nutrition, Education and Rural Development). The initiative captures granular data in digital form using mobiles and presents them through “Action Dashboards” to Government officials enabling them to undertake quick and meaningful interventions to improve outcomes.
Accountability of staff in the public health system has improved, and so has ownership of field staff for measuring and tracking outcomes. This is because responsibility can now be tracked with ease. Moreover, due to better maintenance of records, it is easier for staff at various levels to track their own work.
The success of the above model was demonstrated in a pilot project, which was undertaken in one of the eleven (11) administrative divisions of the State. The objectives of this pilot project were:
(a) Improving institutional delivery,
(b) Improving learning outcomes of students,
(c) Lifting the bottom 20% of households.
IMPROVING LIVELIHOOD OPPORTUNITIES AND ACCESS TO MARKET
The State Government of Meghalaya has started an initiative to improve livelihood opportunities and access to market for its people.
In order to achieve the above the State is
(a) Creating and supporting value chain and livestock development clusters in about 1,350 project villages (about 20% of total villages)
(b) Forming and nurturing about 300 Integrated Village Cooperative Societies (IVCS) for facilitating easy rural finance.
CDFI is assisting the State Government in determining and analysing the complete agricultural outline of the 1,350 project villages. This data is being used to assess the current production of various crops, areas under cultivation, extent of production used for subsistence and market, income from sale of agricultural products/livestock. Crop clusters are being identified and value chain clusters are being created based on parameters such as: top 3 crops, livestock cultivated in the region, number of households involved in the activity, & distance of the cluster from major roads.