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 organisational 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.

⏱ Chapters:

00:00 – Intro

00:10 – The Big Topic: Failed Projects

00:50 – What Defines a Failed Project?

02:00 – Why Technology Isn’t Usually the Problem

03:07 – Skills Gaps in Data Teams

04:09 – Organisational Politics and Stakeholder Conflicts

05:44 – Scope Creep and Competing Priorities

06:55 – The Role of Process in Project Success

08:10 – Lessons from Successful Projects

09:02 – Defining Success and Failure Conditions

09:20 – Future Episode Teaser

09:41 – Outro

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