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Why do projects fail? (Includes examples!)

Rebel’s Guide to PM

Here are some high-profile failed projects: Following an internal review, Multiplex, the Australian development company responsible for the reconstruction of the Wembley Stadium, became aware that costs for the project were escalating to the point that the company would make a loss of £750 million on the project. billion to £10.9

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On Technical Debt And Code Smells: Surprising insights from scientific studies

Scrum.org

So I was pleasantly surprised when Carsten Grønbejrg Lützen pointed at a peer-reviewed academic paper by Michele Tufano and his colleagues (2015), called “When and Why Your Code Starts To Smell Bad”. This post is ideal for developers with some experience, and for people who support developers in the development of their technical skills.

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Overcoming bias in project management

Rebel’s Guide to PM

The goal is not for you to question every action and decision, but one who makes critical decisions with the use of due diligence to avoid human shortcomings. About the author: Roland Hoffmann, who founded Hoffmann Conseho in 2007, has spent 20 years leading projects in technology, construction, marketing, operations and finance.

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Five reasons why Scrum is not helping in getting twice the work done in half the time

Scrum.org

I worked as a product owner for my first product in 2007–08 to manage the insurance lifecycle for a major insurance company in America. They got the idea of increasing the complexity of dependency management and longer lead time due to the handoffs having individual accountability. Bad technical practices.

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Modularized megaprojects: Failure of Conventional Approaches (Part 1)

Inloox

Originally, the megaproject was to be completed in 2007 at costs of only 2 billion euros. This high-tech factory now produces batteries for the car manufacturer. For example, the opening date was delayed by several months due to defective fire doors. A prime example in this context is the BER Airport.

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Implications of Artificial Intelligence on Project Management

The IIL Blog

By Eugene Bounds and Steve Ackert Recently, the buzzword artificial intelligence (AI) has been on everyone’s minds, not just in the tech world but across many industries, including project management. AI technology will automate repetitive processes, generate insightful program reports, and highlight potential problems before they arise.

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5 Agile Methodologies for Project Managers that are not Scrum Framework

Project Pulse Journal

At its core, Kanban is inherently Agile due to its emphasis on continuous improvement, flexibility, and responsiveness to change - qualities that are less pronounced in the sequential, phase-gated Waterfall model. Feedback Loops – Incorporate regular meetings to review and adapt your workflow based on feedback.