Our presentation explores how to manage data effectively for successful Digital Twin implementations. At FLAGS Software we know a Digital Twin is only as good as the data it relies on. We will discuss:

• How organisations collect excessive data, much of which remains at best, unused, or at worst, a diversion from the true picture.
• How data lakes promise a unified repository, but often turn into disorganised "data swamps."
• How without standardisation and clear parameters, AI-driven insights become unreliable.

• Quality over quantity – focus on relevant, structured data, not just volume.

• Taming the data swamp – Prevent data lakes from becoming unmanageable dumping grounds.

• AI-ready and eco-friendly – Standardised data boosts AI accuracy and minimises carbon footprints

What's one key takeaway attendees will get from your presentation?
The importance of clean, structured and standardised data in order to achieve a successful Digital Twin model