Data Strategy for Improved Project Outcomes in Construction and Engineering

Explore Oracle Construction and Engineering's data strategy solutions in this 31-minute video featuring Karthik Venkatasubramanian, VP of Data Science and Analytics. Discover how leveraging 100% of project data can identify potential risks, delays, and issues to improve project outcomes. Learn about data strategy types, key ingredients, and their application across various organization types. Delve into project delivery metrics, lag indicators, and the role of machine learning in enhancing predictability. Examine concepts like the Moneyball approach, DataViziwig, and the planning fallacy in project scheduling. Gain insights on maximizing data utilization for better decision-making and project success in the construction and engineering industry.

Introduction
Why have a data strategy
Why now
Data strategy types
Key ingredients
Types of organizations
Project delivery
Lag indicators
Metrics
Predictability
Machine Learning
Moneyball
Data
Viziwig
Planning fallacy
Project schedule
Summary
Recap