Amaravati, May 14: Andhra Pradesh is set to move towards a fully data-driven governance model, announced Chief Minister N. Chandrababu Naidu on Wednesday.
During a review meeting of the planning department held at the Secretariat, he emphasized that the state will prioritize real-time monitoring over traditional methods for estimating Gross State Domestic Product (GSDP).
The Chief Minister instructed officials to enhance institutional capacity to build a stronger state economy, stating that achieving a 15% growth is essential to realize the goals of ‘Golden Andhra-2047.’
He stressed the need for faster and more accurate data collection and directed officials to provide systematic training for staff at both the state and division levels over the next three months.
The review focused on several key areas, including GSDP capacity building, AI-based economic analysis, major surveys conducted across the state, training for district and division-level officials, and the integration of KPI auditing mechanisms with AI-based economic analysis.
The Chief Minister noted that current GSDP estimates are prepared quarterly and annually, limiting the government’s ability to obtain timely information about economic conditions.
He pointed out that excessive reliance on historical data often delays policy decisions and emphasized the need for a system that monitors economic development monthly across every district and division in the state.
To support this transition, he instructed officials to train government employees on understanding GSDP methodologies and preparing swift, data-supported estimates. He proposed a three-month capacity-building program covering all districts.
Additionally, the Chief Minister directed that three officials from each assembly constituency receive specialized training.
Officials informed the Chief Minister that AI-based economic analysis systems are being developed for the agriculture, industrial, and service sectors. They were further instructed to identify and incorporate currently untracked indicators to strengthen economic forecasting and policymaking.
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