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
Year
All years
2020
2021
2022
2023
2024
Sector
All sectors
Agriculture
Industry
Trade
Services
Metric
Cash Flow
Refund Delay
Current Ratio
VAT Refund
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
Industry (highest risk)
Agriculture
Trade
Services (lowest risk)
🟢 Green Zone — Low Risk
Predicted Cash Flow
−112.5 mln UZS
Predicted Current Ratio
1.42
Quick Ratio (est.)
1.16
Frozen VAT / Cash Flow
18.3%
Risk Score
0.21
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