Data is the lifeblood of real-time decision-making. To provide accurate intelligence, it must be reliable, accurate, consistent and free from bias. Compromise these, and the information it provides becomes less effective.
This panel will look at types of data, methods to ensure data is of high quality, and discuss real examples of the analytics that can be applied for better decision making.
The discussion covers aspects including:
- Giving structure to a data strategy
- How to decide what data is redundant and ensure the volume is not overwhelming
- Who needs to be involved
- Differing opinions on the need for data scientists
- How to be fleet of foot when planning for data analysis
It also provides examples of how data is being used differently now compared to a few years ago for decision making.
- Rob Jones, Partner, b2b Connect and Editorial Director, Digital Construction Hub
- Oliver Kallenborn, Global Digital Transformation Lead, Faithful+Gould
- Arsen Safaryan, Director, Information & Data Management, SEVEN
- Mohammad Al Ktaishat, Digital Project Delivery Lead for Civil Infrastructure, AECOM Middle East & Africa Mohammed Abu Haouli, Principle Solutions Director, Oracle Engineering & Construction