Fabrizio Maniglio, Director of Industry and Business Development, Sparta Systems, a Honeywell company09.06.23
The past offers us a trove of instances where the unexpected has occurred, proving the necessity for effective risk management strategies. Likewise, the future is uncharted territory, replete with potential disruptions and unforeseen circumstances. The need to approach these changes with a structured framework can't be overemphasized, as it helps us better prepare for and withstand the challenges to come.
Let's consider risk from two different angles: predictability and preventability. Some stakes are predictable but not all are preventable. Conversely, there are also unpredictable and unpreventable risks we must grapple with.
One notable metaphor that aids our understanding of unpredictable, high-impact events is the "Black Swan," derived from Nassim Taleb's book. These unexpected events cause significant disruption and have far-reaching consequences for our lives and organizations.
The "Gray Rhino" metaphor represents significant, commonplace, predictable events that are often overlooked and unprevented. Yet, these are visible threats—understood yet underestimated—causing harm nonetheless.
Building on the theme, I introduce the "Albino Rhino," representing a perfect storm—an unusual combination of high-impact, rare events. Although they're hard to prevent, prediction and preparedness might mitigate their effects.
In the spectrum of risks we can predict and don't want to prevent, let's call them "Cute Kittens." These events are welcome, often with potentially positive effects. Conversely, their "Evil Kittens" counterparts are unwanted but manageable events we aim to prevent. Finally, the "Unicorns"—predicted but unlikely events that could mislead risk analysis due to false assumptions or data.
Different risk management strategies need to be implemented depending on the category of risk you encounter. It's essential to focus on actual threats, rather than chase “unicorns.”
Holistic risk management begins by accepting the inevitable and devoting resources to preventable and impactful events. Establishing early warning systems could enable early detection and possible intervention for unavoidable risks. In cases where an early warning isn't feasible, building a foundation of resilience could help weather initial impacts and evolve accordingly.
Data is central to effective risk management, distinguishing between different risk categories, and determining appropriate responses. Agility and adaptability are paramount when dealing with impending risks and an informed preparation helps mitigate risk and boost stability. Over time, this proactive approach fosters increased resilience and predictability, enhancing our ability to pre-empt threats. This risk mitigation process forms a self-reinforcing loop, gradually leading to improved stability and resilience, making us more equipped to navigate the challenges of a VUCAD (Volatile, Uncertain, Complex, Ambiguous, and Digital) world.
The first step in this journey involves digitizing processes and data. With modern organizations' massive volumes of data, a digital format is indispensable. Traditional methods like paper records and binders are no longer sustainable, and digitization eliminates the bottleneck created by these outdated tools.
Having digitized data offers the following advantage—visibility. With connected, easily accessible data, organizations can monitor ongoing processes and activities. In addition, the visibility of data provides a more comprehensive understanding of the relationships and connections between various data points, leading to insightful decision-making.
After visibility comes the crucial stage of understanding. With a comprehensive view of what is happening within the organization, the focus shifts to deciphering why these events are occurring.
This step involves deep analysis, where the visible data is examined in detail to uncover the underlying reasons and factors driving observed trends and patterns. By exploring causality and correlations, organizations can better understand the mechanisms behind the processes.
Once organizations can predict future outcomes, they reach the stage of adaptability, where predictions are used not only to prepare for what's to come but also to influence future events actively.
In this stage, systems evolve to become highly adaptable, able to change and flex in response to predicted occurrences. However, this shift goes beyond merely responding to changes; it's about proactively adjusting processes and strategies based on reliable forecasts to prevent undesired outcomes and enhance positive ones.
Adaptability fosters resilience and agility, enabling organizations to navigate a rapidly changing environment confidently. By using predictions to drive system adaptations, organizations not only weather changes but also create more favorable future scenarios, proactively shaping their destiny rather than passively responding.
The primary focus remains on patient safety and satisfaction, hinging on our definition of quality. These are significant outcomes but can be broken down into smaller, manageable outcomes that collectively contribute to the bigger goal. Consider a generic value chain for delivering this outcome to patients, with each process step having specific outcomes. Employees focus daily on delivering these outcomes, contributing to the final product.
The challenge lies in understanding how to effectively structure our system to deliver these outcomes. Instead of starting with the technology and systems then figuring out connections and implementations, starting with the outcomes and planning toward their delivery would be more beneficial.
At the highest organizational level, there are process suites—a conglomerate of applications designed to assist in delivering desired outcomes. Underneath these are business applications, which are directly intended to provide these outcomes and can be assembled in various ways. Delving further, we find microservices.
Imagine you have a big box of different types of Lego blocks. Each type of block is a microservice. Each block has its unique shape and color. You can use these blocks to build anything you like: a house, a car, or a spaceship. Just like you can take apart Lego creations and use the blocks to build something completely new, in our case, we can mix and match these microservices to deliver different outcomes.
And if they want to change something, they can swap out one type of block (microservice) for another without taking apart the whole thing.
That's the beauty of microservices: like your Lego blocks, they're small, simple, and can be used repeatedly in different ways to build whatever you can imagine.
This hierarchy gives birth to a modular approach for constructing our entire infrastructure, promoting quick adaptability to desired outcomes and improvements on existing ones. At the base of this framework is a connected digital ecosystem that knits all data together, enhancing its utility.
The goal here is to break free from human limitations that are inherent in old processes and fully embrace the capabilities of technology. A modular approach could be the path forward. The concept is simple: trust in microservices to accomplish a single task perfectly. Then, business applications can synergize these tasks to deliver a specific outcome.
The strength of this approach lies in its adaptability. As change sweeps through, we can reassemble to cater to a different outcome. Trusting in these robust tools propels us beyond what was previously imaginable, enabling us to adapt to changes and deliver quality outcomes with unmatched efficiency and efficacy.
Essentially, this outcome-based modularity mirrors the Darwinian principle of survival of the fittest. Just as species adapt to their environment to survive, organizations must also adjust and enhance their quality deliverables in response to their environment to thrive. This top-down approach, leaning on the modularity of microservices, represents an alignment with the process of evolution itself, fostering continual improvements in quality. Like in nature, adaptability and constant quality refinement are crucial in our organizations to survival and evolution.
Historical insights allow us to continually refine our approach, making us better equipped to tackle future challenges. The tools introduced in the past have undoubtedly propelled us to accomplish more than was previously imaginable. By leveraging our amassed knowledge, tools, and technology, we stand poised on the precipice of extraordinary advancements.
By standing on these metaphorical “giants,” we elevate ourselves, extending our reach towards the stars. As we gaze into the future, may we always remember to draw upon the strength of our past and harness the power of our present tools, for it is with these combined forces that we will continue to forge the path ahead.
This article is part two of the series introduced in the July/August issue of MPO.
Fabrizio Maniglio is the director of Industry and Business Development for Sparta Systems. He leverages vast subject matter expertise to drive innovation for the industry and within Sparta Systems, where he continuously monitors the evolution of the ever-changing healthcare and life sciences sectors. He fosters contacts with other industry thought leaders and regulators to collaborate and influence the future of the industry.
Let's consider risk from two different angles: predictability and preventability. Some stakes are predictable but not all are preventable. Conversely, there are also unpredictable and unpreventable risks we must grapple with.
One notable metaphor that aids our understanding of unpredictable, high-impact events is the "Black Swan," derived from Nassim Taleb's book. These unexpected events cause significant disruption and have far-reaching consequences for our lives and organizations.
The "Gray Rhino" metaphor represents significant, commonplace, predictable events that are often overlooked and unprevented. Yet, these are visible threats—understood yet underestimated—causing harm nonetheless.
Building on the theme, I introduce the "Albino Rhino," representing a perfect storm—an unusual combination of high-impact, rare events. Although they're hard to prevent, prediction and preparedness might mitigate their effects.
In the spectrum of risks we can predict and don't want to prevent, let's call them "Cute Kittens." These events are welcome, often with potentially positive effects. Conversely, their "Evil Kittens" counterparts are unwanted but manageable events we aim to prevent. Finally, the "Unicorns"—predicted but unlikely events that could mislead risk analysis due to false assumptions or data.
Different risk management strategies need to be implemented depending on the category of risk you encounter. It's essential to focus on actual threats, rather than chase “unicorns.”
Holistic risk management begins by accepting the inevitable and devoting resources to preventable and impactful events. Establishing early warning systems could enable early detection and possible intervention for unavoidable risks. In cases where an early warning isn't feasible, building a foundation of resilience could help weather initial impacts and evolve accordingly.
Data is central to effective risk management, distinguishing between different risk categories, and determining appropriate responses. Agility and adaptability are paramount when dealing with impending risks and an informed preparation helps mitigate risk and boost stability. Over time, this proactive approach fosters increased resilience and predictability, enhancing our ability to pre-empt threats. This risk mitigation process forms a self-reinforcing loop, gradually leading to improved stability and resilience, making us more equipped to navigate the challenges of a VUCAD (Volatile, Uncertain, Complex, Ambiguous, and Digital) world.
The Digital Transformation Journey Toward Organizational Adaptability
A central part of risk management is digital transformation, a key lever for leveraging data. However, it's not a project with a defined start and end date. Instead, it is an ongoing journey of digitizing processes, continuously evolving and improving to adapt to emerging challenges and changes.The first step in this journey involves digitizing processes and data. With modern organizations' massive volumes of data, a digital format is indispensable. Traditional methods like paper records and binders are no longer sustainable, and digitization eliminates the bottleneck created by these outdated tools.
Having digitized data offers the following advantage—visibility. With connected, easily accessible data, organizations can monitor ongoing processes and activities. In addition, the visibility of data provides a more comprehensive understanding of the relationships and connections between various data points, leading to insightful decision-making.
After visibility comes the crucial stage of understanding. With a comprehensive view of what is happening within the organization, the focus shifts to deciphering why these events are occurring.
This step involves deep analysis, where the visible data is examined in detail to uncover the underlying reasons and factors driving observed trends and patterns. By exploring causality and correlations, organizations can better understand the mechanisms behind the processes.
Predictability: An Early Warning System
With a clear understanding of processes and data, organizations can anticipate future trends, predict potential risks, and be better prepared for what lies ahead. This predictive ability acts as an early warning system, empowering organizations to manage change and implement necessary measures proactively.Once organizations can predict future outcomes, they reach the stage of adaptability, where predictions are used not only to prepare for what's to come but also to influence future events actively.
In this stage, systems evolve to become highly adaptable, able to change and flex in response to predicted occurrences. However, this shift goes beyond merely responding to changes; it's about proactively adjusting processes and strategies based on reliable forecasts to prevent undesired outcomes and enhance positive ones.
Adaptability fosters resilience and agility, enabling organizations to navigate a rapidly changing environment confidently. By using predictions to drive system adaptations, organizations not only weather changes but also create more favorable future scenarios, proactively shaping their destiny rather than passively responding.
Outcome-Based Modularity: A Top-Down Approach
Adaptability, as the primary driver of fitness amid constant change, needs a fresh perspective. Traditionally, the approach has been to build from the bottom up. However, this may be the time to invert that perspective and instead place focus on outcomes—the reasons for undertaking any action.The primary focus remains on patient safety and satisfaction, hinging on our definition of quality. These are significant outcomes but can be broken down into smaller, manageable outcomes that collectively contribute to the bigger goal. Consider a generic value chain for delivering this outcome to patients, with each process step having specific outcomes. Employees focus daily on delivering these outcomes, contributing to the final product.
The challenge lies in understanding how to effectively structure our system to deliver these outcomes. Instead of starting with the technology and systems then figuring out connections and implementations, starting with the outcomes and planning toward their delivery would be more beneficial.
At the highest organizational level, there are process suites—a conglomerate of applications designed to assist in delivering desired outcomes. Underneath these are business applications, which are directly intended to provide these outcomes and can be assembled in various ways. Delving further, we find microservices.
Imagine you have a big box of different types of Lego blocks. Each type of block is a microservice. Each block has its unique shape and color. You can use these blocks to build anything you like: a house, a car, or a spaceship. Just like you can take apart Lego creations and use the blocks to build something completely new, in our case, we can mix and match these microservices to deliver different outcomes.
And if they want to change something, they can swap out one type of block (microservice) for another without taking apart the whole thing.
That's the beauty of microservices: like your Lego blocks, they're small, simple, and can be used repeatedly in different ways to build whatever you can imagine.
This hierarchy gives birth to a modular approach for constructing our entire infrastructure, promoting quick adaptability to desired outcomes and improvements on existing ones. At the base of this framework is a connected digital ecosystem that knits all data together, enhancing its utility.
The goal here is to break free from human limitations that are inherent in old processes and fully embrace the capabilities of technology. A modular approach could be the path forward. The concept is simple: trust in microservices to accomplish a single task perfectly. Then, business applications can synergize these tasks to deliver a specific outcome.
The strength of this approach lies in its adaptability. As change sweeps through, we can reassemble to cater to a different outcome. Trusting in these robust tools propels us beyond what was previously imaginable, enabling us to adapt to changes and deliver quality outcomes with unmatched efficiency and efficacy.
Essentially, this outcome-based modularity mirrors the Darwinian principle of survival of the fittest. Just as species adapt to their environment to survive, organizations must also adjust and enhance their quality deliverables in response to their environment to thrive. This top-down approach, leaning on the modularity of microservices, represents an alignment with the process of evolution itself, fostering continual improvements in quality. Like in nature, adaptability and constant quality refinement are crucial in our organizations to survival and evolution.
Drawing from the Wisdom of the Past
With this comprehensive exploration of risk management and digital transformation nearing its end, it is fitting to summon the wisdom of the eminent scientist Sir Isaac Newton. His timeless words resonate deeply: “If I have seen further, it is by standing on the shoulders of giants.” This assertion serves as a profound reminder that our achievements are built on the foundation laid by those who preceded us.Historical insights allow us to continually refine our approach, making us better equipped to tackle future challenges. The tools introduced in the past have undoubtedly propelled us to accomplish more than was previously imaginable. By leveraging our amassed knowledge, tools, and technology, we stand poised on the precipice of extraordinary advancements.
By standing on these metaphorical “giants,” we elevate ourselves, extending our reach towards the stars. As we gaze into the future, may we always remember to draw upon the strength of our past and harness the power of our present tools, for it is with these combined forces that we will continue to forge the path ahead.
This article is part two of the series introduced in the July/August issue of MPO.
Fabrizio Maniglio is the director of Industry and Business Development for Sparta Systems. He leverages vast subject matter expertise to drive innovation for the industry and within Sparta Systems, where he continuously monitors the evolution of the ever-changing healthcare and life sciences sectors. He fosters contacts with other industry thought leaders and regulators to collaborate and influence the future of the industry.
