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1
Introduction
2
Why have a data strategy
3
Why now
4
Data strategy types
5
Key ingredients
6
Types of organizations
7
Project delivery
8
Lag indicators
9
Metrics
10
Predictability
11
Machine Learning
12
Moneyball
13
Data
14
Viziwig
15
Planning fallacy
16
Project schedule
17
Summary
18
Recap
Description:
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.

Data Strategy for Improved Project Outcomes in Construction and Engineering

Oracle
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