🇮🇳India

डेटा दृश्यता की कमी से पूंजी निवेश में त्रुटि (Poor Data Visibility Leading to Misallocated Survey Investment)

2 verified sources

Definition

Manual coordinate transformation and fragmented data prevent decision-makers from seeing revenue leakage patterns. Goa CM noted that GIS-based surveys enable identification of tax evaders and unauthorized structures — implying prior manual approaches lacked this visibility. Municipalities deploy survey teams blindly rather than to high-risk zones.

Key Findings

  • Financial Impact: ₹20-40 lakhs per municipality per cycle (inefficient allocation of ₹1-2 crore annual survey budget; 15-25% wastage on low-priority zones)
  • Frequency: Annually (during survey budget cycles); perpetual across India's 4,000+ ULBs
  • Root Cause: Lack of GIS dashboards; manual reports provide no geographic intelligence; no real-time coordinate data analytics; siloed data between tax, planning, and utility departments

Why This Matters

The Pitch: Municipalities waste 15-25% of survey budgets on low-priority zones because manual coordinate data provides no geographic intelligence. Real-time GIS dashboards reveal revenue leakage hotspots, enabling 40% better capital allocation.

Affected Stakeholders

Municipal Commissioners, Budget Officers, Revenue Department Heads, Planning Directors

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Financial Impact

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Methodology & Sources

Data collected via OSINT from regulatory filings, industry audits, and verified case studies.

Evidence Sources:

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