Data Analysis Systems for Evaluation Studies of various Flagship Programmes


Evaluation is an integral part of planning process. Plan Schemes are formulated and implemented without adequate knowledge of the project area, target groups, grass root level institutions and about the likely behaviour of implementers and beneficiaries. Feedback from Monitoring and Evaluation could be an important tool to assess the appropriateness of design and implementation methods and take necessary corrective measures for improving performance. Keeping in view the importance of such an efficient evaluation system, the Programme Evaluation Organization (PEO) was set up in Planning Commission, Government of India with the objective of evaluating the Community Development Programmes initially. Gradually the scope of PEO was widened to cover evaluation studies of virtually every sector of Indian Economy. Around three to four studies are being conducted each year. In these Evaluation Studies data is collected from beneficiaries as well as implementers at different levels like Village, Block, District and State on various issues relating to implementation and impact of the scheme, is extensively analyzed by PEO to prepare an Evaluation Report. These Evaluation Reports provide useful information to social scientists, researchers, students, policy makers and general public on the factors, which hinder effective implementation of programmes as well as those, which contribute to successful implementation. Computerisation of Evaluation Studies NIC plays a key role in each of these evaluation studies by integrating Information Technology into each step of the study starting from Data Preparation, Entry, Validation to Data Analysis. In each study Information is collected through 8 to 12 schedules, each schedule having both objective and subjective questions on around forty to seventy parameters. Information on hundreds of such parameters collected from grass root level is prone to various types of inconsistencies and errors. As many of the questions are subjective, non-uniformity of data is also another problem to be dealt with. These data being sensitive to the future of the country, demand hundred percent accuracy, which is achieved through computerization of data with both online and offline validation. Being diagnostic in nature data analysis plays vital role in development of Evaluation Reports. Rigorous analysis is done on all the parameters collected at state, district, block, village, household/beneficiary and other levels specific to each study. Reports on various parameters at different levels are generated for analysis. Meeting the demand of PEO in providing correct, consistent and in time analytical information becomes a challenge for NIC, for which continuous effort is being made to introduce new developments in Information Technology into the computerization work as and when it is possible, to make the process more smooth and effective. A few Data Analysis Systems have been developed for three evaluation studies that have been undertaken by the Plan Evaluation Organisation, a division under Planning Commission. These are – a. Evaluation Study on Cooked Mid-day Meal Scheme (CMDM) To evaluate the implementation of Cooked Mid Day Meals Scheme (CMDM) a survey has been conducted and data has been collected on various issues such as • Funds flow and utilization • Food grains Utilisation • Beneficiary details etc. from different levels such as State, District, Block, Village, Beneficiary through 10 predefined formats. The project has been under design and development to help the Programme Evaluation Organisation (PEO), Planning Commission in the preparation of Evaluation Report(s) for the scheme. The web-based ‘Data Analysis System for CMDM has been developed for Village schedule. Online entry of State, District, Block, Village, School, Beneficiary, Drop-out, Out of School Child and Parent level data accomplished and 131 analytical reports were generated.

Contact Details

Ms Madhu Chhanda Samantaray
NIC - Planning Commission unit Yojana Bhavan Unit Parliament street New Delhi - 110001 madhu[at]nic[dot]in