Earned Value Management (EVM) at the portfolio level

In recent years, the quality of project controls information has increased dramatically. The combination of greater recognition of its importance, experienced and skilled staff, and ever-advancing technology has created an environment where data analysis is providing companies with more insight than ever before. 

Trends can be identified earlier, problems can be addressed before the implications become severe, and risks can be controlled before they impact the ability to succeed. For project teams, finance departments, resource owners, and operational functions, better decisions can be made in less time. 

For organizations that deliver complex, capital-intensive projects, this should be good news. But there’s still a problem. 

Earned value management (EVM)—the practice of comparing planned value, earned value, and actual cost to measure true project performance—produces exactly this kind of rich, reliable insight. Yet when that comprehensive controls data is elevated to the investment committee at the portfolio level in order to drive critical decisions, it is frequently reduced to a summary table or a handful of data points. That makes it easier to consume, but it strips away the context, the nuances, the real insight behind the data. And that context is what is needed to drive optimal decision making. 

While project execution resources are able to make better choices based on improved controls data, that clarity is not reaching executives. The business leaders driving the success of the entire portfolio are still operating with inadequate insight. That’s a significant problem. 

Why it matters: The complexity of interconnected portfolios

Today’s capital portfolios, and the projects and programs that make them up, are increasingly interconnected. There are significant cross-dependencies between the individual investments that make up the portfolio. Additionally, more dependencies exist between those initiatives and the operations, regulatory compliance, partners, and related functions that they support. This results in portfolios that are more complex than ever before. 

At the same time, the pathway to success is narrow, with tight margins, ongoing supply chain challenges, and tough regulatory frameworks. As a result, investment committees and decision makers have very little room for mistakes. Every choice they make, every project they decide to remain committed to, every additional resource made available to get across the finish line, contributes to success—or failure. 

Within companies, there is understanding of this. It’s one of the reasons why investments have been made in improving the quality of project controls—to provide greater insight into what is happening and what the implications are. That investment has clearly resulted in improved understanding of how schedule dependencies are evolving, what is happening with risk exposure and management, and how actual costs, cost variance, and schedule variance compares to plans. 

In this environment, leaders need to understand how schedule, cost, risk, and dependencies interact across the portfolio—not just see a static end-state figure. 

What gets lost

Companies now understand what the risk-adjusted cost and schedule forecasts are. They have accurate cost at completion models, and they know how actual value compares to planned value. 

But that knowledge only resides at the project level. 

All that is being presented to business leaders—the people accountable for navigating that narrow path to success—is a sanitized version of that analysis. A summary number, or a static, flattened table that contains no detail, and no perspective, and is frequently no better than the information provided to leaders before the improvements in project controls were made. 

Here's what's actually being stripped away: 

• The earned value metrics—cost performance index (CPI), schedule performance index (SPI)—that reveal whether a project is truly on track, not just whether it's on budget 

• The range of possible outcomes—not just a single forecast, but the spread of what could happen based on uncertainty and risk. 

• The assumptions behind the cost-at-completion model—which parameters are driving the forecast, which variables have the most impact, and where the real sensitivities lie. 

• The reasoning and logic that supports the risk-adjusted forecast—why certain risks matter, how dependencies are being modeled, and what trade-offs are being made. 

• The ability to explore—to ask "what if" questions about how a decision on one project affects resource availability on another, or how a schedule delay cascades across the portfolio. 

That leaves decision makers in the dark, making critical decisions with potentially billions of dollars of impact, without any ability to understand the meaning and context behind a few summary data points.  

Fortunately, that's not as difficult to fix as you might think. 

Integrated environments, better outcomes

The information already exists—project controls teams are already producing it. The issue is simply that it isn’t connected to the portfolio environment where decisions are being made. Address that deficiency and things rapidly improve. 

The solution is connecting your detailed cost and risk models directly into a live portfolio layer. Not after the meeting. Not in a report that arrives when the decision is already made. But in real time, where leadership can navigate the data and explore the implications of their choices. 

With that improvement, leadership has direct access to not just the headline data, but also the detail behind it. They can see how risks are impacting schedules and budgets, they have an understanding of where actual value is falling short of (or exceeding) planned value, and they have insight into the aspects of an initiative that are driving elevated costs and cost forecasts. 

Essentially this means that companies are able to eliminate the interpretation and consolidation that currently happens between project controls and portfolio management, eliminating the potential for errors and the removal of context. Instead, the portfolio management solution used by decision makers has live integration to the system being used to manage project controls. This provides business leaders with: 

• Real-time insight into the full project controls picture—trends, dependencies, management activities, and so on, as well as the headline numbers around earned value and forecasts. 

• The ability to model potential decisions and courses of action to understand how risks, dependencies, schedules, and costs would be impacted. 

• The opportunity to analyze alternative approaches and decisions to identify the best course of action to optimize the ability to deliver project, program, and portfolio success. 

In an environment as complex as today’s capital investment portfolios, there are rarely any easy solutions. Every decision requires some degree of compromise. Enhance the ability to succeed on one program, and you create the potential for delays or elevated risks on another investment or operational function. Manage one set of dependencies, and you create new dependencies elsewhere that may have just as big an impact. 

When all organizational data is available to decision makers, with the context that is required, and with the ability to model and assess alternatives, that complexity can be seen with much greater clarity. That in turn allows for a more conscious understanding of the compromises being made, enabling improved decisions and greater management of the impact. 

Additionally, when all of the data and systems are connected, communication of those decisions and impacts to the teams doing the work becomes much easier. Project controls analysts can then better monitor impacted areas to ensure that the desired outcomes of decisions are occurring, and that the implications of those decisions are being adequately managed. When that work identifies that further adjustments are necessary, they too can be made in less time and with less disruption. 

From reports to real-time visibility

Capital intensive industries are experiencing regulatory frameworks that are more restrictive than ever, and the competitive landscape leaves little room for confusion or delay. Success depends on the discretionary investment decisions that drive strategic growth—and best-in-class decision-making simply can't happen without complete, accurate, and timely information, supported by the appropriate context. 

When the portfolio management platform is fully integrated with the project controls solution, leaders not only have access to all of the information that they need—they can see the implications of the decisions that they are considering in the room, not in a report that arrives after the meeting. This allows them to make better decisions in less time, and it allows for the teams delivering and managing the work to understand the dependencies and impacts associated with those decisions, improving work delivery. 

By connecting earned value models, risk-adjusted forecasts, and cost-at-completion analysis into a live portfolio decision environment, organizations preserve the analytical rigor their controls teams have worked to produce—and put that rigor directly in the hands of the leaders who need it most. 

Ready to preserve your controls rigor at the portfolio level?

If you're currently translating detailed cost, schedule, and risk analysis into summary tables and single numbers, it's time to explore what happens when you connect those outputs directly into a live portfolio view—where leadership can see the range, the assumptions, the dependencies, and the implications all at once.

Learn more about SharpCloud and how it integrates with your project controls environment to bring that visibility to the portfolio level.