Implementing an enterprise risk management (ERM) program can be a daunting, intimidating project. Trying to introduce new frameworks and controls across the organization, roll up risk reporting from the unit to enterprise level, and initiate discussions with the board that lead to action can be overwhelming. Using techniques proven to work with startups, however, can make the process far more manageable and increase the odds for success.
Startup incubators often promote a few common themes:
- Let customers/market dictate the product
- Scale it down – start small and go live fast
- Do the research and learn about the market
- Get feedback as quickly as possible
- Fail silently – incorporate lessons learned without dragging the whole effort down
These techniques suggest that the traditional high-profile, enterprise-wide rollout of a new ERM program may not always be the best way to launch. Instead, focusing on the smallest scale project—one with the potential to yield meaningful results—and relying on a customer-driven approach may be the key to creating a sustainable, effective ERM program.
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A 2016 analysis published in BMJ revealed that medical error is the third-leading cause of death in the United States. This includes process errors, planning errors, and failures to act. Martin Makary, a health policy expert at Johns Hopkins and an author of the analysis, explains that the “complex medical system” in the U.S. “sometimes lacks transparency that results in the wide variation in quality of medical care that is the endemic problem in safety.” Makary also notes that “safety nets are missing and standardization is lacking.”
At the heart of this standardization problem lies outdated technology and confusing systems. Many healthcare providers continue to use lagging systems that don’t efficiently collect or analyze data. Furthermore, a mix of legacy and new systems makes for potential conflicts that add to the confusion and fortify workplace silos. Without the sharing of information, organizations fail to see big-picture strategies and solutions that could help prevent medical errors and increase patient safety.
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It’s not exactly a secret: Regardless of size or industry, every organization stands to benefit from using automation technology to cut down on repetitive, time-consuming administrative tasks. More than simply speeding up a process or getting people to work faster, automating administrative tasks yields value by freeing up employees to focus on the aspects of their job that really matter and provide value.
Automation is wonderful. Except when it isn’t.
As covered in Behind the Hype of Robotic Process Automation (RPA), businesses can run into issues by rushing to reduce costs and improve productivity through automating processes without first evaluating their effectiveness and necessity. The benefits of automating repeatable, administrative tasks can also be lost if automation technology is too difficult to use. The result? Time that could be used performing more high-value activities winds up spent managing software.
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Data Breach Today offers predictions in What’s Ahead for Health Data Privacy, Security in 2019? While the article focuses primarily on health data, a few key trends apply more broadly and are likely to resonate with all types of organizations.
Prediction: Disruption from regulatory changes is likely
Rebecca Herold, author of 19 books on information security and CEO of The Privacy Professor consultancy, begins the list of predictions by examining the potential for agency updates to HIPAA. “Based on continued pressure from local, state and federal government agencies, law enforcement, researchers and others to ease the sharing of patient and mental health data by removing the need to obtain patient consent, I expect to see OCR issue proposed HIPAA updates,” she notes.
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Despite the widespread ambition of organizations to create a data-driven culture, few seem to make the transition successfully. In the article Big Companies Are Embracing Analytics, But Most Still Don’t Have a Data-Driven Culture, the authors cite the results of this year’s annual New Vantage Partners survey on data issues. “Virtually all respondents (99%) say their firms are trying to move in that direction, but only about one-third have succeeded at this objective. This gap appears every year in the surveys, and the level of success hasn’t improved much over time.”
According to a Gartner study, a similar disconnect is found: 80% of CEOs claim to accept the concept of data as an asset, yet only 10% say their organization treats it that way. Given the fairly daunting odds, why are so many organizations still fighting the uphill battle to establish a data-driven culture? Because, as a TechCrunch article notes, “Being data-driven pays!” As proof, the authors cite an MIT study finding a 5-6% higher output in data-driven organizations and other research indicating a more than $13 payback for every dollar spent on analytics.
The importance of the risk manager
Given the potential payoff of a data-driven culture, the analysis-based role of a risk manager can be a linchpin in the effort to elevate the role of data in strategic decision-making across the organization. To make this transition, risk managers need to adopt an enterprise risk management (ERM) mindset, regardless of whether the organization actually has an ERM program in place. The core of this mindset relies on using data to influence decisions and direct actions.
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Origami Risk’s 2018 User Conference, held last week, utilized a new format that not only placed a premium on client presentation of use cases, but also focused on digging into “how” presenters managed to implement their specific solutions. Listening to a diverse set of cases, several common trends emerged.
1. Transparency is key
Many of those presenting echoed the need to establish transparency and accountability in their processes. You can’t measure what you can’t see, and you can’t improve what you don’t measure. The most obvious culprits were paper-based procedures—everything from workplace safety “coaching cards,” to incident intake reports. Spreadsheet-centric workflows, such as data-heavy values collection efforts, also failed to identify the “who, what, when, and where” type of information required to make any process fully transparent.
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Trying to determine the value of enterprise risk management (ERM) is a difficult challenge. A quotation frequently attributed to Albert Einstein (although more likely originally said by sociologist William Bruce Cameron) gets to the crux of the issue: “Not everything that can be counted counts, and not everything that counts can be counted.”
Issues with measuring ERM value
Donna Galer, writing for the Insurance Thought Leadership blog, summarizes the reasons why the value of ERM programs are not easily quantified:
- It is extremely hard to know when a loss did not happen because of ERM.
- It is just as hard to quantify the cost of loss that did not happen.
- It is difficult to quantify the “soft” benefits of enhanced reputation because ERM is practiced or because of improved strategic alignment in the organization; ERM requires an understanding of the company’s strategic goals and objectives to identify the risks that might derail their achievement.
- It is often hard to justify the time and expense of measuring something that is not easy to measure.
Determining the objective value of a prevented loss or improved strategic alignment is highly problematic. Despite the very real value associated with those activities, determining a specific value without having an actuary assess probabilities and amounts seems extremely difficult. Not everything that counts can be counted.
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The pressure to do more with less is constant. But delaying an honest evaluation of your risk management information system (RMIS), while an understandable temptation, can lead to compressed timelines, rushed decisions, cost overruns, and additional grey hair.
Industry consolidation is forcing changes both good and bad. Regardless of whether you elect to stay with your current system or make a move, the worst-case scenario is to find yourself boxed in because you ran out of time.
There are a few critical factors a risk manager should take into account to ensure they are in the driver’s seat. Your time is limited, but your options don’t have to be.
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A flexible, intuitive interface. Software expertise combined with insurance and risk experience. A collaborative approach to implementation that’s different by design. When selecting a Risk Management Information System (RMIS) that meets your needs, each of these elements is important, but in today’s market, these are baseline requirements. The critical factor influencing the choice of a system should be the answer to the following question: Will this technology drive meaningful business results?
Measurable outcomes are what really matter. The right RMIS must prove capable of contributing to your team’s ability to more efficiently analyze risk and insurance data, prevent losses, control claim costs, streamline renewals, and reduce your organization’s total cost of risk. If it cannot, what’s the point?
For some examples of the impact that partnering with Origami Risk has had on the business results of a few of our clients, please read on.
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Technology is often the first thing risk managers turn to when seeking to enhance enterprise risk management (ERM) programs. The appeal of leaving behind a jumble of spreadsheets and manual processes for a single, dedicated ERM workhorse is undeniable. Yet, without the right context to shape the selection process, a new technology solution may not help at all. In fact, it could even make matters worse. … read more