Risk Management Explained: From ERM to Operational Control
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By
VireonPress Editorial
- Business
- 5 min read
-
By
VireonPress Editorial
- Business
- 5 min read
Today, risk handling is no longer limited to creating a compliance document/checklist to integrate it into some corporate strategy phase. Companies tend to act reactively, deflecting the consequences of their own shortsightedness. Instead, they need a quantitative assessment of uncertainties to understand the growth areas and the aggressive market decisions that need to be made. Ultimately, only this way, they will be able to capitalize the chaos that will inevitably arise.
What Risk Management Really Covers Today
A win-win risk management strategy involves addressing specific vulnerability vectors. Here are four main categories of real-world market precedents:
- Financial risks. These risks involve the loss of monetary assets due to market volatility or, for example, changes in interest rates. For example, the collapse of Silicon Valley Bank in 2023 [1] was a classic example of interest rate risk, as the bank invested deposits in long-term US Treasury bonds. Following a sudden rate hike, when the bonds’ value fell, the bank needed liquidity to repay the deposits. Ultimately, due to the lack of interest rate risk hedging, the bank quickly went bankrupt.
- Operational risks. This category includes failures in internal processes, human error, system errors, and external events that disrupt operations. In particular, a global IT outage in July 2024 caused by a CrowdStrike software update [2] resulted in the blue screen of death of over 8.5 million computers worldwide and paralyzed airlines, banks, and hospitals, demonstrating the dependence of operational resilience on single points of failure in digital infrastructure.
- Regulatory and compliance risks. Essentially, this is the risk of legal sanctions or license loss due to non-compliance with laws and standards. Take, for example, fines (over a billion euros) imposed by EU regulators on Meta and Google for GDPR violations [3]. This forced the companies to completely rebuild their data storage architecture and advertising algorithms.
Reputational risks. This is the loss of trust of clients/investors/partners, leading to a decline in market capitalization. A real-life example is the Volkswagen diesel scandal. They decided to use deceptive software to understate emissions figures, which ultimately cost them over $30 billion in fines and damaged the brand’s image as “true German quality” [4]. Ultimately, it took about ten years and a shift in production strategy toward electric vehicles to restore their former trust.
Enterprise Risk Management (ERM) vs Operational Risk Management (ORM)
While enterprise risk management (ERM) is a top-down framework for aligning an organization’s risks with its overall strategy, operational risk management works bottom-up, closing gaps in specific processes.
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Feature
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ERM
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ORM
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Scale
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Holistic, company-wide
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Detailed, process-specific
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Main goal
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Strategic alignment and value creation
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Business continuity and loss prevention
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Responsibility
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Board of Directors/CEO/CRO
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Department heads/managers
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Strategic planning
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Long-term (3-5+ years)
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Immediate or medium-term
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Way of processing
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Risk appetite and capital allocation
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Monitoring, audit, incident response
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Why Risk Is Now a Strategic Lever, Not Just a Shield
Today, the concept of risk management has evolved from “creating brakes” to building accelerators that help companies consciously take greater risks where it provides a competitive advantage.
In particular, strategic risk management now allows businesses to determine their risk appetites – let’s consider Netflix, which deliberately took large financial risks by investing billions of dollars in its own content and debt [5]. In other words, their ERM system was configured not to minimize debt but to assess the risk of failure in the race for subscriptions. Now, we know this company as a market monopolist.
Also, instead of simply hoarding huge reserves in case of emergency, risk analytics helps understand how many resources the company really needs to be kept in reserve, thereby freeing up capital for acquisitions and innovation.
Finally, in the face of volatile supply chains, companies with strong strategic risk management, like Apple, were able to more quickly restructure their logistics, surviving where competitors had fallen and thereby capturing new market share.
Common Failures in Risk Handling
Even with sophisticated analysis systems, risk management often fails. Most corporate disasters occur due to systemic management errors such as:
- The silo effect, a critical error when risk data fails to cross-departmental boundaries;
- Ignoring gray rhinos, obvious threats that everyone sees but no one wants to address;
- The illusion of control through mathematical models, when management believes numbers more than common sense;
- Incentive misalignment, when top management bonuses are tied solely to quarterly profits, often ignoring long-term risks, leading to risky driving by deliberately disengaging the brakes for the sake of speed.
Conclusion: Managing Risk Without Freezing Growth
Ultimately, the primary goal of a modern risk management system is not to prevent risk exposure at all – the fact is that a business with zero risk is a business with zero profit. The right goal is to ensure that every accepted risk is quantified and can be compensated.
Sources:
[1] – Collapse of Silicon Valley Bank
[2] – What the 2024 CrowdStrike Glitch Can Teach Us About Cyber Risk
[3] – 1.2 billion euro fine for Facebook as a result of EDPB binding decision
[4] – Volkswagen emissions scandal
[5] – Netflix Builds an Unmatched Content Moat While the Market Sorts Out the Debt Story
VireonPress Editorial
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