Better Data, Better Governance: PM Modi Hails VISTAR Scheme Approval
PM Modi welcomes the VISTAR scheme to transform India's statistical system using AI and micro-level data for better governance and policy.
Prime Minister Narendra Modi has welcomed the Union Cabinet's decision to approve the VISTAR scheme, a landmark initiative designed to overhaul India's statistical framework. Emphasizing that the quality of governance depends on the quality of information, the Prime Minister noted that the integration of advanced technology and artificial intelligence (AI) into data collection will lead to more precise decision-making and more effective public service delivery.
A Digital Leap for National Statistics
Taking to X (formerly Twitter), PM Modi highlighted that the VISTAR scheme is not just a technical upgrade but a strategic shift toward a more responsive government. He stated, "Better data means better decisions, better policies and better delivery to people."
The Prime Minister identified three pillars of the new scheme:
- Technological Integration: The heavy usage of modern tech and AI to process information.
- Micro-Level Focus: A shift toward more granular data to understand local needs better.
- Integrated Systems: The creation of a modern, unified statistical infrastructure.
What is the VISTAR Scheme?
The ‘Viksit Bharat Initiative for Statistical Transformation, Analytics & Research’ (VISTAR) is a comprehensive plan aimed at building a future-ready statistical architecture. The Union Cabinet, chaired by the Prime Minister, has approved the scheme for the period spanning FY 2026-27 to FY 2030-31.
To fuel this transformation, the government has allocated a significant financial outlay of Rs 4,371.10 crore. This investment is aligned with the broader vision of Viksit Bharat 2047, aiming to make India a developed nation by the centenary of its independence.
Key Objectives and Capabilities
The VISTAR scheme is designed to move away from static data collection and toward a dynamic, real-time system. Its core goals include:
- Enhanced Timeliness: Reducing the lag between data collection and policy implementation.
- Data Granularity: Providing detailed, micro-level insights rather than just broad averages.
- Interoperability: Creating harmonized, AI-ready datasets that can work across different government departments.
Impact on Policy and Governance
The scheme will encompass all statistical and data management activities under the Ministry of Statistics and Programme Implementation (MoSPI). By upgrading the official statistical system, the government intends to gain strategic flexibility in how it allocates resources.
This holistic approach will cover several critical areas:
- The execution of large-scale national surveys.
- Advanced methodological research to improve data accuracy.
- A complete digital transformation of how data is stored and accessed.
- The establishment of robust national data governance standards.
By fostering an environment where data is real-time and AI-driven, the VISTAR scheme aims to ensure that government policies are based on evidence and tailored to the immediate needs of the citizenry.