XER Data Analytics

Advanced project controls analytics based on real Oracle Primavera P6 data processing. Comprehensive insights with Monte Carlo reporting and innovative advanced analytics.

๐Ÿ“ Data Sources Available:
โ€ข Training files (demo mode)
โ€ข Uploaded XER files
โ€ข Real-time API generation

๐Ÿ“Š Advanced Reporting Capabilities Showcase

Total Resources Analyzed
620
Across 17 different equipment types
Supply Status
100%
499074 total units available
Risk Analysis
536
Resources showing "Not at Risk" status
Project Performance
87.3%
Average schedule performance across all projects
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Resource Supply & Demand Analysis

Key Insights

Resource allocation shows consistent supply availability with zero demand conflicts across all equipment types. GVX series transformers demonstrate strong supply buffer with cumulative units ranging from 14 to 315+ units per resource type.

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Project Performance Overview

Performance Analysis

Multi-project analysis reveals optimal resource utilization patterns with strong schedule adherence. Critical path optimization opportunities identified across 3 active projects.

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Risk Assessment Matrix

Resource Code Equipment Type Cumulative Supply Risk Status Latest Assessment
R171 GVX 750KVA + 15min EOL 4 Not at Risk 2025-05-19
R172 GVX 1000KVA + 15min EOL 18 Not at Risk 2025-05-26
R173 GVX 1250KVA + 15min EOL 5 Not at Risk 2025-06-02
R175 MSB 7 Not at Risk 2025-05-30
R188 2 MVA Transformer 1 Not at Risk 2025-08-04
R189 3 MVA Transformer 72 Not at Risk 2025-06-24
R190 2.55 MVA Transformer 9 Not at Risk 2025-07-25
R191 Generator 1 Not at Risk 2025-08-06
R193 G Skid 6 Not at Risk 2025-05-30
R195 Chillers 2 Not at Risk 2025-06-28
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Procurement Analytics Dashboard

Live Data from 9 Uploaded Files โ€ข S-Curve Analysis โ€ข Real-Time Insights
๐Ÿ“Š
35
Supply Data Points
+0.3% Growth
๐ŸŽฏ
35
Total Supply Units
Cumulative Data
๐Ÿ“ˆ
30
Total Demand Units
Real-Time Tracking
โšก
116.7%
Supply Adequacy
Live Calculation

๐Ÿ“ˆ S-Curve Procurement Analysis

๐ŸŽฏ Procurement Performance Matrix
Supply Adequacy
116.7%
Resource Diversity
620 Types
Risk Management
84 At Risk
Data Completeness
9 Files Processed
๐Ÿ“Š Trend Analysis Dashboard
๐Ÿ“ˆ
Average Supply per Period
1.0 units
๐Ÿ“Š
Average Demand per Period
1.0 units
โšก
Efficiency Ratio
100.0%
๐ŸŽฏ
Optimization Score
96.7/100

๐Ÿง  AI-Powered Procurement Insights

๐ŸŽฏ
Supply Chain Optimization

Analysis of 35 data points reveals excellent supply adequacy at 116.7%. Real-time monitoring shows consistent procurement performance.

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S-Curve Performance

S-curve analysis indicates strong procurement scheduling with cumulative supply of 35 units against demand of 30 units.

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Risk Assessment

84 resources identified as at-risk from 620 total resource types. Advanced analytics suggest immediate attention required.

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Performance Recommendations

Data from 9 uploaded files enables comprehensive optimization. Key recommendations: maintain current excellence and implement real-time demand forecasting.