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Why Data Quality Fails (And What to Do About it) | Juvo Webinar
Most organisations don't have a data problem. They have a trust problem.
In this webinar, Bert Maes (Juvo) breaks down why data quality keeps failing — and what you can do about it today. No frameworks, no tooling pitches. Just real examples, real pains, and a concrete plan to move forward.
📌 WHAT YOU'LL LEARN
- Why data quality is not a technical problem (it's an alignment problem)
- Three common data pains most companies share
- Why "perfect data" is the wrong goal
- How to define "good enough" for your organisation
- The 5-step Data Quality Workshop approach
- Where AI fits in (and where it makes things worse)
View all episodes
By JuvoMost organisations don't have a data problem. They have a trust problem.
In this webinar, Bert Maes (Juvo) breaks down why data quality keeps failing — and what you can do about it today. No frameworks, no tooling pitches. Just real examples, real pains, and a concrete plan to move forward.
📌 WHAT YOU'LL LEARN
- Why data quality is not a technical problem (it's an alignment problem)
- Three common data pains most companies share
- Why "perfect data" is the wrong goal
- How to define "good enough" for your organisation
- The 5-step Data Quality Workshop approach
- Where AI fits in (and where it makes things worse)