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Why Most Data Projects Fail

and How to Avoid It

Unfortunately, the majority of data projects fail. Yet, they fail for the same reasons. Most management and data teams don’t know the reasons a project succeeds or fails. It just appears to be random, hard work, or luck. To help understand the reasons teams succeed, we will introduce the who, what, when, where, and how of data projects. By answering these questions, teams will understand what they’re trying to accomplish far better.
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Ansprechpersonen bei Seibert Media

paul herwarth von bittenfeld

Paul Herwarth von Bittenfeld

Head of Google Business

julian felix rost

Julian Felix Rost

Google Cloud Solution Architect


Armin Meyer

Wirbelwind im Data Management


Dr. Kai Rödiger

Service Owner Finance
& Data Analyst