Failed data projects are still a major problem in the industry—even after decades of experience in data engineering and warehousing. In this episode, Neil Strange and Alex Higgs break down why projects fail and what you can do to improve your chances of success.
From poor processes and skills gaps to organizational politics, we explore the key challenges that cause delays, budget overruns, and missed business objectives. Plus, we discuss how to set clear success and failure conditions to keep your project on track.
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