Ganttic
FEBRUARY 24, 2021
Big data and project management often go hand in hand, but some project managers, or those wishing to follow a career in project management, may be unfamiliar with the term. The right tools, training and knowledge are also important to help people come to terms with big data. What is big data?
The IIL Blog
JANUARY 17, 2024
Embracing continuous learning, making data-driven decisions, and adapting to changes in project management methodologies are critical components of staying relevant and effective in your role. Certifications validate your knowledge and skills and enhance your credibility and competitiveness in the job market.
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Rebel’s Guide to PM
JANUARY 24, 2022
I see a day in the not too distant future where you plug your task information into a tool and out pops an estimate, based on the last 12 projects using the same resource and qualitative data on past performance. Use automation to help you to perform basic tasks, organize specific things, and even compile helpful data.”.
Project Pulse Journal
APRIL 8, 2024
Each approach establishes the development of project deliverables as influenced by the delivery cadence, defined as the number and timing of deliveries based on the type of deliverable. Understanding the influence of external factors allows modification of the chosen approach to meet external challenges head-on.
Project Pulse Journal
APRIL 2, 2024
Regulatory compliance is often emphasized when technological advancements surge, such as with Generative AI, which touches multiple aspects like data protection and intellectual property laws where your project is located. Their needs, expectations, and influences are diverse.
Paymo App
APRIL 2, 2018
Influence – We considered Moz’s Domain Authority (DA) to predict how a website can rank on Google’s SERP. Free websites don’t have this data. Additionally, we analyzed their Ahrefs Domain Rating (DR) that shows the strength of the blog’s backlink profile. We also looked at their Twitter account and followers. Worth reading.
International Institute for Learning
FEBRUARY 15, 2023
Existing organizational architectures, changes in the environment, emerging opportunities, and economic conditions will influence where AI applications should begin. As shown in Exhibit 3, companies must create new types of information systems and supporting tools to evaluate the larger pool of data and information.
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