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Kanban History: Origin & Expansion Across Industries

ProjectManager.com

Kanban history has informed everything from manufacturing to software development. For those unsure what kanban is, we’ll first explain the kanban system and then go into kanban history from its development to its uses in manufacturing, project management and software development.

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How to Manage Project Scope Without Scope Creep (with examples)

Rebel’s Guide to PM

Scope creep is the more common term but you might hear both, especially if you are working in software development. Change control or change management is the process of managing unplanned but desired influences on the project. It’s the process of ensuring changes are properly evaluated and incorporated into project plans.

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Top 10 Project Management Methodologies – An Overview

ProjectManager.com

We’ll go through some of the most popular project management methodologies, which are applied in many sectors such as software development, R&D and product development. The name is apt, as the waterfall methodology is a process in which the phases of the project flow downward. Top 10 Project Management Methodologies.

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Software Review: ConceptDraw Office 4

Rebel’s Guide to PM

This article, Software Review: ConceptDraw Office 4 , first appeared on Girl's Guide to PM. Hosting options: It’s desktop software that you download, and there are versions for Mac and Windows. Whether you are process mapping or mindmapping, the tool is easy to use once you get used to the interface. ConceptDraw Review.

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Scrum Methodology: Roles, Events & Artifacts

ProjectManager.com

The scrum methodology was developed as a response to rigid project management approaches such as the waterfall method, which didn’t adapt to the needs of agile product and software development teams. Scrum is a simple project management framework that facilitates team collaboration on complex product and software development projects.

SCRUM 332
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Has Agile Stalled?

Scrum.org

My first was in Chicago in 2009. What was even worse was it was not even a matter of less work being produced but more the attendance of meetings and effort invested in their existing processes and events. Empirical approaches must run through the whole enterprise, not just when building software.

Agile 201
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Using Artificial Intelligence to Track Project Performance

The IIL Blog

Before you can harness the power of AI, you need access to software and data. Let’s start with software. AI can automate a lot of the analysis making the whole tracking and reporting process faster and more efficient. An API allows you to connect your software with external AI services. A valid question.