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What is Top Reasons Data Projects Fail about?

The document discusses why many data projects fail due to a lack of a comprehensive data strategy. It identifies the top 10 reasons for data project failure, which are all related to not having a proper data strategy in place. This includes issues like poor business alignment, asking the wrong questions, an incomplete data roadmap, underestimating timelines and budgets, and lacking the necessary skills and expertise. It emphasizes that establishing a strong data strategy is key to avoiding these common pitf

Author

jbrfrog

Language

EN