Remove Process Remove Project Cost Remove Risk Remove Survey
article thumbnail

11 Examples of Project Risks And How to Avoid Them

Teamweek

We often plan a project with this overly optimistic mindset — never considering the myriad of project risks out there. Before you know it, you’re mid-project and starting to feel the heat. Source Most projects “fail” for similar reasons. The most common types of risks can be filed under the label: “$#!%

Risk 95
article thumbnail

12 Ways to Manage Project Quality Without Drama

Rebel’s Guide to PM

But all that really comes after knowing what quality looks like on your project. The APM BOK defines project quality as: “The fitness for purpose of the degree of conformance of the outputs of a process, or the process itself to requirements.” Good” then becomes your success criteria or quality measures.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Exploring the differences: Projects vs operations examples

Rebel’s Guide to PM

Projects vs operations The short answer to the question: “What’s the difference between projects and operations?” Projects change the business. Ops managers want (and seek) stability so they can manage process performance. The status quo is good but project managers keep changing things! More on that later.

Retail 407
article thumbnail

Review Project Management Maturity Model Fourth Edition

Henny Portman

The used maturity levels are: Level 1 Initial process Level 2 Structured process and standards Level 3 Organizational standards and institutionalized process Level 4 Managed process Level 5 Optimized process. worth mentioning is the complementary Project Portfolio Management Maturity Model (PPMMM) in appendix B.

PMO 119
article thumbnail

The Basics: Artificial Intelligence for Strategic PM’s

The Strategic Project Manager

Machine learning requires data to rapidly identify patterns and process output. AI systems can be designed to learn from data and improve their performance over time, a process known as machine learning.” Design – The process of design is very data-intensive. Let’s explore a little further. ” Wow!

article thumbnail

Project Controls: The Complete Guide For New Managers

Teamweek

When to use project controls? Stay in control to deliver successful projects. What are project controls? Project Controls are project management processes that help you keep your project deliveries on time and within budget. How are project control processes different than project management?

article thumbnail

Artificial Intelligence In Project Management: Pros & Cons

ProProfs Project Management

In this article, we specifically talk about the impact of AI in project management and its various pros and cons. Pros and Cons of Artificial Intelligence in IT Project Management Pros of AI Project Management. AI Is Ideal for Processing Large Amounts of Data. AI Helps Reduce Project Costs. Maybe on Amazon?