VAT Refund BI Dashboard — Uzbekistan

MSc Business Intelligence & Analytics · Westminster International University in Tashkent

Student ID: 002110 · Period: 2020–2024
Live · Interactive · What-if Analysis
n = 200 observations
Avg operating cash flow
−446
mln UZS
Avg refund delay
62.9
calendar days
Avg current ratio
1.35
target ≥ 1.5
Refund coverage ratio
75.9%
2024 (up from 28.7% in 2020)
Cash flow vs refund delay
Scatter by sector · β = −10.39 · r = −0.723 · p < 0.001
Average cash flow by sector
Mean operating cash flow (mln UZS)
Refund delay by sector and year
Average processing days
VAT refunds vs negative balances
Macro trend 2020–2024 (bln UZS)
🎯 What-if Analysis — Liquidity Stress Test Decision Support
Simulate how changes in VAT refund processing time affect enterprise liquidity. Move the sliders to model different scenarios.
VAT Refund Processing Time 62 days
15 days (best)120 days (worst)
Annual Turnover 4,821 mln UZS
500 (small)15,000 (large)
Sector
🟢 Green Zone — Low Risk
Predicted Cash Flow−112.5 mln UZS
Predicted Current Ratio1.42
Quick Ratio (est.)1.16
Frozen VAT / Cash Flow18.3%
Risk Score0.21
Regression formula applied:
Cash Flow = 207.34 − 10.39 × Days + 0.031 × Turnover

Risk classification:
🟢 Green: delay < 45 days, CF > 0
🟡 Amber: delay 45–75 days, CF −100 to 0
🔴 Red: delay > 75 days, CF < −100 mln

Policy insight:
Each +10 days delay → −103.9 mln UZS cash flow impact
Lag effect (Section 4.6.4):
Maximum liquidity shock occurs at t+1:
β(t) = −10.39 · β(t−1) = −12.14 · β(t−2) = −8.73