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MODULE 1: Introduction to Road Project Data
1-Road-Project-Data-Analytics-for-Construction-Professionals
Types of data generated in road and highway projects
Why site data matters more than drawings
Difference between planned data and actual site data
MODULE 2: Project Quantity Data Interpretation
2-Road-Project-Data-Analytics
Earthwork quantity tracking day-wise and stretch-wise
Layer-wise quantity break-up for pavement works
Identifying quantity deviations and reasons
MODULE 3: Survey and Alignment Data
3-Survey-and-Alignment-Data-for-Road-Construction-Projects
Chainage-wise survey records and their meaning
Formation levels vs ground levels comparison
Using survey data to avoid over-excavation and rework
MODULE 4: Earthwork Production Data
4-Earthwork-Production-Data
Daily excavation and embankment output records
Equipment-wise production tracking
Understanding productivity loss from data
MODULE 5: Material Consumption Data
5-Material-Consumption-Data-Analytics-for-Highway-Projects
Soil, aggregate, bitumen, cement consumption records
Theoretical vs actual consumption comparison
Identifying wastage through data trends
MODULE 6: Pavement Layer Execution Data
6-Pavement-Layer-Execution-Data
GSB, WMM, DBM, BC quantity and thickness records
Chainage-wise layer completion tracking
Detecting thickness variation issues early
MODULE 7: Plant and Machinery Utilization Data
7-Plant-and-Machinery-Utilization-Data
Deployment hours vs idle hours
Fuel consumption tracking and analysis
Equipment underperformance identification
MODULE 8: Manpower Deployment Data
8-Material-Consumption-Data-Analytics
Skilled and unskilled manpower records
Productivity per gang analysis
Linking manpower data with output
MODULE 9: Quality Test Data
9-Quality-Test-Data-in-Road-Construction
Field test records for soil, aggregate, bitumen
Pass, fail, and re-test trend analysis
Preventing quality rejection using data
MODULE 10: Progress Measurement Data
10-Progress-Measurement-Data-for-Road-and-Highway-Construction
Physical progress calculation methods
Chainage-based progress vs percentage progress
Progress mismatch identification
MODULE 11: Time and Schedule Performance Data
11-Time-and-Schedule-Performance-Data
Planned duration vs actual execution duration
Delay pattern identification by activity
Understanding cascading delays in road works
MODULE 12: Cost Performance Data
12-Cost-Performance-Data-for-Road-and-Highway-Projects
Item-wise cost tracking
Budgeted cost vs incurred cost comparison
Early warning signs of cost overrun
MODULE 13: Billing and Measurement Data
13-Billing-and-Measurement-Data
Joint measurement records analysis
Quantity disputes and mismatch reasons
Preventing billing delays using clean data
MODULE 14: Subcontractor Performance Data
14-Subcontractor-Performance-Data
Output vs commitment comparison
Payment-linked performance review
Identifying unreliable subcontractors
MODULE 15: Resource Planning Data
15-Resource-Planning-Data
Material arrival vs requirement data
Equipment mobilization planning records
Avoiding site stoppage through data forecasting
MODULE 16: Safety Observation Data
16-Safety-Observation-Data-in-Road-Construction-Projects
Incident and near-miss reporting patterns
High-risk activity identification
Linking unsafe trends with productivity loss
MODULE 17: Weather Impact Data
17-Weather-Impact-Data-in-Road-Construction
Rainfall and downtime records
Productivity loss during adverse weather
Planning buffer activities using past data
MODULE 18: Variation and Change Data
18-Variation-and-Change-Data-Management_
Extra item and deviation records
Rate impact due to design changes
Managing scope changes with factual data
MODULE 19: Claims and Dispute Support Data
19-Claims-and-Dispute-Support-Data
Delay and disruption records
Supporting claims with site data
Common mistakes in claim documentation
MODULE 20: Decision-Making Using Project Data
20-Decision-Making-Using-Project-Data
Turning raw site data into management insight
Daily, weekly, and monthly review formats
Using data to improve future road projects
Preview - ROADS AND HIGHWAYS CONSTRUCTION PROJECT DATA ANALYTICS FOR CONSTRUCTION MANAGERS, SENIOR MANAGERS, CIVIL ENGINEERS & IT ENGINEERS
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