Microsoft Dynamics 365 Finance and Operations (D365 F&O) is a powerful enterprise resource planning (ERP) solution that enables organizations to unify their financials, supply chain, operations, and project management within a single platform. For project managers, understanding how D365 F&O’s modules work together can significantly enhance visibility, streamline processes, and support data-driven decision-making across the project lifecycle.

As businesses grow more digitally mature, the need for integrated platforms becomes critical. Microsoft Dynamics 365 offers a modular ecosystem that helps organizations unify their operations—from sales and marketing to finance, HR, and supply chain. For project managers, understanding these modules is key to managing enterprise-level technology projects efficiently.

Key Performance Indicators (KPIs) are essential tools for tracking project progress, aligning team efforts, and communicating with stakeholders. But poorly selected or misused KPIs can do more harm than good—creating confusion, misrepresenting project health, or leading teams down the wrong path.

In project management, measuring success is critical—but the how of measurement can differ dramatically depending on your methodology. Traditional (Waterfall) projects and Agile projects operate under different assumptions, timelines, and value delivery models, which means the Key Performance Indicators (KPIs) used to track them also diverge.

In project management, success isn’t just about delivering on time and within budget—it’s about measuring progress, performance, and value. That’s where Key Performance Indicators (KPIs) come into play. These metrics offer objective data to help project managers steer projects in the right direction, mitigate risks early, and ensure alignment with strategic goals.

When managing Agile software development projects using Scrum, it’s not enough to just hold the ceremonies and move tickets across a board. True Agile success requires actionable insights—and that’s where Agile metrics come in. These metrics serve as a compass, guiding Scrum teams to deliver value faster, identify blockers, and continuously improve.

When the Agile Manifesto was first introduced in 2001 by 17 software thought leaders, it redefined how teams approached software development. While its four core values are widely cited, the true depth of Agile lies in the 12 guiding principles. These principles provide a framework for delivering high-quality solutions through collaboration, adaptability, and continuous improvement.

Migrating to the cloud is one of the most strategic moves an organization can make—but it's also one of the most complex. Whether you're shifting from on-prem servers to AWS, Azure, or Google Cloud, cloud migration projects demand rigorous planning, careful coordination, and deep cross-functional collaboration.

Infrastructure projects are the unsung heroes of IT—laying the groundwork for everything from cloud adoption to enterprise security. But despite their critical importance, infrastructure initiatives are notoriously prone to delays, scope creep, and cross-team misalignment.

Agile has become the gold standard in software development—but what happens when your project includes infrastructure teams that still operate in a traditional, waterfall-style framework? Welcome to the hybrid reality many IT project managers face today.

In an age of relentless cyber threats, data privacy regulations, and increasing reliance on cloud technologies, security isn’t optional—it’s fundamental. Whether you’re leading an infrastructure upgrade or launching a new app, understanding the distinct security considerations of each project type is critical for project success and organizational safety.

In today’s tech landscape, many initiatives no longer fall neatly into just “software” or “infrastructure” categories. Whether it’s implementing a cloud-native application, integrating SaaS with on-prem systems, or building a platform supported by microservices and hybrid cloud, modern projects often span both realms. For project managers, this means navigating the complexity of hybrid projects—those that require coordination between infrastructure and software development teams.