The Directorate of Economics and statistics (DoES) is a nodal agency for collection, compilation, analysis of statistics relating to various sectors of an economy. The main function of the directorate is to build firm and broad data for all plan and policy formulations, which brings out the estimates of GSDP/State Income/District Income and the economic growth, Capital formation. The mission of the department is to streamline and modernise the statistical system to ensure adequacy, quality, reliability and timeliness of official statistics.
The Directorate of Economic and Statistics faces limitations in term of data availability, timely decision support. The absence of an efficient and integrated IT system impacted the department's day-to-day operations, resulting in delayed decision-making and stakeholder dissatisfaction affecting the overall performance of the Department. To overcome these challenges and unlock the full potential of DoES, it is imperative to implement a modern, automated, and user-friendly software solution.
An end to end open source solution was developed and implemented to automate the entire process of Data Collection, Compilation and Validation for the Directorate of Economics and Statistics to address the challenges faced. Sector wise forms are prepared to capture the survey data and in turn this data forms the basis for Macro Fiscal Projection. The solution helped in achieving the quality of the Data Collection by enforcing its Completeness, Timeliness and Source. The data from the field level is captured through the mobile application which is then verified by the concerned division heads through the web application and approved by the headquarters.
The implementation of the proposed software solution will have a significant positive impact on the Directorate of Economics and Statistics. Some of the key benefits are:
The successful implementation of the software solution enabled the Directorate of Economics and Statistics to fulfill its role as a nodal agency more effectively, contributing to better planning, economic growth, and socio-economic development in the state. The modernized approach not only improved the accuracy and reliability of data but also increased stakeholder satisfaction and coordination among departments. The Department became more adept at fulfilling its responsibilities, positively impacting economic growth and development in the state.
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