More than 1100 schemes are being run through 74 Central Ministries by the Government of India. Moreover, there are thousands of other welfare schemes being executed by state governments in the country. Rationalizing and implementing such a large number of existing welfare schemes efficiently is a challenge that puts a tremendous burden on the Centre as well as the States.

Despite concerted efforts by policy makers, implementation of welfare schemes has been fraught with several unresolved issues. Identifying the right beneficiaries, planning and understanding similar existing schemes and budgeting are the key aspects focussed upon during scheme formulation.

To counter and address these challenges and in order to help policy makers design or modify effective social programs, SANKALP (Scheme Analysis and Knowledge Aggregation for Launching Programs), a web-based analytics platform has been developed by CDFI. SANKALP provides analytics and tools to design schemes in a scientific manner by plugging together multiple databases and by simulating various scenarios.

Any database (population, operational, outreach, assessment etc.) can be plugged onto SANKALP platform to monitor outputs and outcomes defined under the welfare program. For the policy makers the platform enables benefit program design (creation of new schemes and modification of existing benefit schemes) based on various socio-economic conditions of the individuals / households.

SANKALP is being used by the Chhattisgarh Government to assess and design their schemes using data from eight different databases including State’s SECC and PM Awas Yojana databases. Three teams at CHiPS (Chhattisgarh Infotech Promotion Society), 42 Chief Minister Fellows and 27 District Collectors have been trained on the platform to identify potential beneficiaries of social schemes.

Government officials including District Collectors are being trained to use SANKALP for identifying beneficiaries for their respective programs. The platform ensures clear visibility of the final beneficiary and the benefits they are receiving, which helps in minimizing inclusion and exclusion errors and in developing holistic social benefit programs.


  • Information of Schemes – High level data of all schemes can be captured into the system. The high level data will have information on the budget, target segment, sector, ministry implementing the scheme, target area (rural / urban), type of scheme (Central Sector or centrally sponsored), benefit delivery scheme (cash / DBT), centre / state funding pattern etc. Scheme information will also allow collation of the following data on a scheme.

  • Target beneficiaries.

  • Detailed scheme outlay including breakup by components

  • Eligibility criteria and entitlements