Live Webinar – January 11th 2022 7:00 am – 8:00 am EST
Live Webinar – January 11th 2022 12:00 PM – 1:00 PM BT
Activity Type: Education – Course or Training  1 Hour  1 PDU
Provider: Association for Project Management – APM

Change Is Coming, Get Ready For It!

James Smith Ph.D. will be walking you through all the components of project data analytics, through the lens of a project delivery professional.

He will walk you through all the components of project data analytics, through the lens of a project delivery professional in one hour.

Many existing roles will look radically different in a few years time; for some it will be a matter of adapt or become obsolete.

Project Data Analytics can be used to support project delivery through:

• Anticipate variance and future cast.
• To scenario plan the future and optimise its navigation.
• Manipulating probabilities and accepting that the future is not predetermined.
• Sense team and supplier performance; forensically examining individual performance, cohesion, collaboration and its impact on project goals.
• Interrogate the connectivity between disparate elements of a project and extract insights.
• Automate repetitive and burdensome roles, releasing capacity for higher value activity.
• Interrogate and visualise data and discover new insights.
• Build and communicate data-driven business cases across various stakeholders.

Start your Journey in Project Data Analytics with this talk. James will cover everything that we need in our armoury to adapt over the coming years.

From Power BI to automation, data pipelines to Python, James will explain why we’ll need it, what we can do with it and how to go about it all in a practical manner.

Presenter: Dr James Smith (LinkedIn profile) Chief Technology Officer Projecting Success, is responsible for a wide scope, spanning full stack development through to data science and AI. The technical lead for the delivery of the project data analyst apprenticeship, a unique approach that will transform how projects are delivered; is immersed in visualisation, graph databases, Python, machine learning algorithms and regularly grapples with the challenges that exist with real world data.

Click to register for:
The Project Data Analytics Starter Kit:
Getting To Grips with Data In 2022

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