Many organizations talk about cleaner, more reliable data, but continue storing everything “just in case”. The result is bloated systems, slow performance, rising costs and users drowning in irrelevant information. Letting go of data feels risky, yet holding onto it often does more harm than good.
In this session I’ll share how we built a practical, business-driven archiving approach at Daikin Europe that treats data like an asset, not a liability. We connected real business scenarios to clear archiving logic, created a structured way to assess relevance and embedded that thinking into our data quality and governance framework.
You’ll see how we aligned IT and business stakeholders, defined ownership and turned cleanup into a scalable, repeatable process rather than a one-off initiative. I’ll also share the challenges of “deleting with confidence”, and how we addressed concerns around risk, compliance and transparency.
By the end you’ll know how to decide what data is truly worth keeping, and how smart archiving can improve performance, sharpen insights, reduce complexity and ultimately make both systems and people work better.