When compliance professionals hear the phrase “fraud, waste, and abuse,” their attention almost always gravitates toward the concept of fraud. Fraud makes headlines, triggers DOJ enforcement actions, and carries obvious reputational risk. But waste, the second component in that trio, costs corporations millions of dollars annually and often goes unnoticed. Waste is not always the result of intentional misconduct. Instead, it is the unnecessary, careless, or inefficient use of resources.
Left unchecked, waste can sap profits, drain morale, and erode organizational culture. Worse, it creates vulnerabilities that open the door to fraud and abuse. As compliance officers, we have a role to play in combating waste, not just as a financial drain, but also as a risk factor that undermines long-term business sustainability.
We continue our review of the role of compliance in combating fraud, waste, and abuse. Today, we consider the role of compliance in the fight against waste. One of the most promising tools in this fight is predictive analytics. We review how Shell used predictive analytics to transform its maintenance programs and discuss how compliance officers can harness these same principles to anticipate, identify, and prevent waste before it spirals into a major liability.
What Is Waste?
Waste is the misuse of corporate resources without necessarily crossing the line into fraud. It may include:
- Excessive travel or entertainment expenses.
- Over-maintenance of equipment that does not need servicing.
- Duplication of tasks due to poor communication.
- Paying for unused licenses, subscriptions, or services.
- Poorly designed processes that consume time and labor unnecessarily.
Unlike fraud, waste is not always intentional. An employee may not realize that expensing unnecessary upgrades or double-booking a supplier constitutes waste. Yet the cumulative impact is enormous. According to industry surveys, corporate waste can cost companies millions annually, and much of it is preventable through better monitoring and smarter resource allocation.
The Cost of Waste
Waste rarely grabs headlines, but its financial impact is staggering. Consider how often corporations schedule routine maintenance on equipment, even when it is not actually needed. The expense of replacing parts “on schedule” rather than based on actual performance data runs into the billions across industries. Similarly, compliance functions themselves can generate waste by deploying broad, unfocused training or redundant audits instead of targeting resources where they matter most.
Waste also undermines culture. Employees who see inefficiencies tolerated may conclude that the company does not take stewardship seriously. This normalization can spread: if no one cares about wasted money, why should they care about ethical gray zones? In this way, waste weakens the very cultural foundation compliance programs are designed to strengthen.
Lessons from Shell: Predictive Analytics and Maintenance
Shell provides a vivid example of how predictive analytics can transform waste into efficiency. Historically, Shell relied on calendar-based maintenance schedules, servicing equipment at predetermined intervals regardless of actual wear and tear. While effective in preventing breakdowns, this method was wasteful, resulting in unnecessary part replacements, downtime, and inefficient resource allocation.
By adopting predictive analytics, Shell embedded sensors across its global assets, collecting real-time data on vibration, temperature, and pressure. Machine learning models analyzed this data to detect anomalies, allowing Shell to service equipment only when necessary—the result: reduced downtime, lower costs, and improved reliability.
The compliance parallel is clear. Just as Shell transitioned from reactive repairs to predictive maintenance, compliance must also shift from reactive investigations to proactive monitoring. Waste in compliance, whether in resources, training, or oversight, can be dramatically reduced when programs are data-driven and predictive rather than static and calendar-based.
The Compliance Angle: Why Waste Matters
Waste is not just an operational issue. It is a compliance issue for three reasons:
- Regulatory scrutiny: Regulators are increasingly expecting companies to utilize data-driven tools to ensure efficiency and accountability. Wasteful practices, particularly in government contracting, can lead to legal exposure.
- Fraud adjacency: Waste creates gray areas that fraudsters exploit. If duplicate payments or unused services go unnoticed, bad actors can hide fraudulent charges within the noise.
- Cultural risk: Tolerating waste sends a signal to employees that accountability is negotiable. This undermines compliance culture and makes it harder to enforce policies consistently.
How Compliance Can Fight Waste
1. Leveraging Predictive Analytics
Compliance officers can use predictive analytics to spot wasteful spending patterns, such as duplicate vendor payments, recurring unused subscriptions, or expense anomalies. By analyzing large datasets in real-time, predictive analytics reveals inefficiencies that traditional audits often miss.
2. Targeting Resources
Much like Shell’s predictive maintenance conserved resources, compliance can use analytics to deploy training, audits, and investigations where they are most needed. This prevents the waste of blanket initiatives that consume time and budget without addressing real risk.
3. Building Proactivity into Culture
Predictive analytics fosters a culture of proactivity rather than reactivity. Employees learn to anticipate risks and inefficiencies before they escalate, creating a compliance culture that values stewardship of resources alongside ethical conduct.
4. Enhancing Decision-Making
Predictive models provide compliance leaders with actionable insights that sharpen their decision-making. Instead of guessing where to allocate limited resources, compliance officers can point to data-driven evidence, increasing credibility with leadership.
5. Continuous Improvement
Just as Shell recalibrates its predictive models with real-world data, compliance must treat waste reduction as a continuous improvement process. Predictive models should evolve in tandem with business practices, regulatory shifts, and emerging risks.
Five Key Takeaways for the Compliance Professional
1. Waste Is More Than Inefficiency
Waste is the misuse of resources, whether intentional or not, and it costs corporations millions annually. Beyond financial impact, tolerating waste erodes culture and creates openings for fraud.
2. Predictive Analytics Reduces Waste
Just as Shell cut costs and improved reliability through predictive maintenance, compliance programs can use predictive analytics to identify inefficiencies, anticipate risks, and allocate resources effectively.
3. Compliance Has a Role in Fighting Waste
Waste may appear to be an operational issue, but it is also a compliance issue. Regulators expect efficient use of resources, and unchecked waste can conceal fraud or abuse.
4. Proactivity Strengthens Culture
Predictive analytics fosters a proactive compliance culture that anticipates risks and addresses them before they escalate, reinforcing accountability and resource stewardship.
5. Continuous Improvement Is Key
Predictive analytics and waste reduction are not one-off projects. Compliance must continuously reassess data, refine models, and adapt to evolving risks to remain effective and credible.
Conclusion
Waste may not carry the same drama as fraud or abuse, but it represents a critical vulnerability for corporations. The financial cost is real, the cultural cost is corrosive, and the compliance implications are significant.
By taking a page from Shell’s predictive analytics playbook, compliance officers can transform their programs from passive monitors to proactive risk managers. Predictive analytics enables compliance to identify inefficiencies before they escalate, conserve resources, and enhance credibility with leadership. Most importantly, it positions compliance as a strategic partner in building a culture of accountability and efficiency.
In today’s environment, where regulators demand real-time monitoring and organizations face constant pressure to do more with less, fighting waste is not optional. It should be a compliance imperative.
