As a government scheme aimed at providing financial assistance to small and marginal farmers, PM Kisan Samman Nidhi Yojna is designed to reach out to farmers across India with income support. Under this scheme, eligible farmers receive Rs. 6,000 per annum in three installments of Rs. 2,000 each. Since the scheme is implemented on a large scale, it is important that the information provided by farmers is accurate, complete, and error-free.
One of the key aspects of ensuring the accuracy of data is editing. Editing is an important step in any data collection process and the same holds true in the case of PM Kisan Samman Nidhi Yojna. The data collected during the application process needs to be verified and validated to ensure its accuracy, completeness, and consistency.
The editing process typically involves two stages – manual and computerized. During the manual editing stage, the application forms are scrutinized to check for missing or incomplete information. The manual editing stage is critical in identifying errors such as incorrect spellings, missing or incorrect Aadhaar numbers, and incomplete bank account details. Once the manual editing is completed, the data is then sent for computerized validation.
Computerized validation involves automated checks to ensure that the data is consistent and accurate. The validation algorithms check the data for consistency in terms of age, gender, Aadhaar number, bank account number, and land holding details. In case the data fails to meet the validation criteria, it is flagged for review.
The PM Kisan Samman Nidhi Yojna aims to cover all eligible farmers across India and to reach out to the targeted beneficiaries with the financial assistance provided by the scheme. As such, the accuracy of the data collected is of utmost importance. Effective editing and validation processes are crucial to validating the data collected and ensuring timely and accurate disbursement of the benefits. The Scheme has already benefited millions of farmers across India, and with timely and accurate data editing, it is expected to keep doing so in the years to come.