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Data-Informed Retrospectives

Scrum.org

TL; DR: Data-Informed Retrospectives. The second stage refers to gathering data so that the Scrum Team can have data-informed Retrospectives. As I have observed in practice, many Scrum Teams either limit the data gathering part of the Retrospective, thus lacking vital information. Source : Scrum Guide 2020.

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Organizational Process Assets: What does that even mean?

Rebel’s Guide to PM

Organizational Process Assets do not include infrastructure or the software tools used to manage the data. It’s just the data itself, the ‘knowledge,’ that counts. They might be influenced by market conditions (risk appetite statements might change, for example, if the market suddenly gets a lot more competitive).

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Understanding the Organizational Governance System as Project Managers

Project Pulse Journal

Is it challenging to navigate the complex landscape of project governance frameworks? In this article, we will dive deep into organizational and project governance and systems in project management. At the heart of this lies the robust framework of Organizational Governance Systems.

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How To Ensure Data Privacy in Customer Relationship Management

Binfire

Data is an indispensable tool in today’s digital space. Businesses of all sizes are investing massively in data management and leveraging its potential to outpace their rivals. The extent to which you can explore and exploit data determines the success of your business in the digital economy. Everyone is talking about it.

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What Is a Stakeholder? Definitions, Types & Examples

ProjectManager.com

Stakeholders are very important because they can have a positive or negative influence on the project with their decisions. While every project has stakeholders and those stakeholders can be anyone with influence or that can be influenced by the project. Types of Stakeholders. Stakeholder Examples. Stakeholder Analysis.

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The PM Skills You Can Forget About (And the Ones You Really Need to Know)

LiquidPlanner

We’ve moved on from the idea that a few impact and influence grids can actively manage other people’s behavior. The model of working with stakeholders today is more around how we engage people to support the project’s goals and use influencing, negotiating, teamwork and conflict management to effectively get work done through others.

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AI in Project Management: An Interview with Lloyd Skinner

Rebel’s Guide to PM

AI can automate many of the repetitive tasks involved in managing projects, like data collection, reporting and status tracking. To start applying AI in project management, you need to know what you are using it for and how the data can help you. PWC predicts that 80% of project management work will be eliminated by 2030.