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Enterprise Risk Management for the Digital Transformation Age

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Enterprise Risk Management for the Digital Transformation Age

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Enterprise risk management has become a vital component to cyber security, logistics management, asset management and supply chain management. As organizations continue to rely on data to drive workforce automation, Industrial IoT and process automation, it is becoming necessary to analyze data to discover risk before it occurs and implement effective remediation practices and processes. Seminar participants will collaborate and explore the emerging new use cases for enterprise risk management that addresses the need to better understand how to leverage critical data to predict and understand how data analytics can support risk management and mitigation in an increasingly data-dependent workforce environment.

During this seminar, participants will:

a. Explore new innovations in enterprise risk management that will provide new career opportunities for STEM professionals
b. Examine the skills and experiences necessary to take advantage of risk management career opportunities
c. Discern the applicable areas for enterprise risk management
d. Determine the importance of addressing enterprise risk management in all digital transformation initiatives
e. Identify the market growth and consulting opportunities in enterprise risk management

Enterprise risk management has become a vital component to cyber security, logistics management, asset management and supply chain management. As organizations continue to rely on data to drive workforce automation, Industrial IoT and process automation, it is becoming necessary to analyze data to discover risk before it occurs and implement effective remediation practices and processes. Seminar participants will collaborate and explore the emerging new use cases for enterprise risk management that addresses the need to better understand how to leverage critical data to predict and understand how data analytics can support risk management and mitigation in an increasingly data-dependent workforce environment.

During this seminar, participants will:

a. Explore new innovations in enterprise risk management that will provide new career opportunities for STEM professionals
b. Examine the skills and experiences necessary to take advantage of risk management career opportunities
c. Discern the applicable areas for enterprise risk management
d. Determine the importance of addressing enterprise risk management in all digital transformation initiatives
e. Identify the market growth and consulting opportunities in enterprise risk management

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Enterprise Risk Management for the Digital Transformation Age

  1. 1. Dermawan Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Aenean commodo ligula eget dolor. Aenean massa. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Donec quam felis, ultricies nec, pellentesque eu, pretium quis, sem. Nulla consequat massa quis enim. Enterprise Risk Management for the Digital Transformation Age Session: 2447 Jem Pagán - Presenter
  2. 2. Participants will exit this Seminar with the following knowledge: 1. The market growth and opportunities in enterprise risk management 2. The skills necessary to take advantage of risk management career opportunities 3. The applicable areas for enterprise risk management 4. The importance of addressing enterprise risk management in all digital transformation initiatives 5. New innovations in enterprise risk management that will provide new career opportunities for STEM professionals Seminar Title: Enterprise Risk Management for the Digital Transformation Age
  3. 3. How would you define risk? How is risk managed in your organization? Have you ever experienced a risk incident? How important in MTTR (mean-time-to-recovery)? Let’s Level Set on Risk
  4. 4. TITLE Seminar Title: Enterprise Risk Management for the Digital Transformation Age Seminar participants will collaborate and explore the emerging new use cases for enterprise risk management that addresses the need to better understand how to leverage critical data to predict and understand how data analytics can support risk management and mitigation in an increasingly data-dependent workforce environment. Enterprise risk management has become a vital component to cyber security, logistics management, asset management and supply chain management. As organizations continue to rely on data to drive workforce automation, Industrial IoT and process automation, it is becoming necessary to analyze data to discover risk before it occurs and implement effective remediation practices and processes.
  5. 5. Enterprise Risk Management Goals and Drivers
  6. 6. RiskManagement Defined Enterprise Risk Management Terms and definitions Risk management is the process of identifying, quantifying, and managing the risks that an organization faces. As the outcomes of business activities are uncertain, they are said to have some element of risk.
  7. 7. A cost-based assessment to operational and cyber risk was provided by the Ponemon Institute, (the tech industry’s gold-standard benchmark research), to gain an accurate perspective of the level of risk in terms of cost and operational deficiencies. The 2018 ‘13th Annual Cost of a Data Breach’ independent study, conducted by the Ponemon Institute, reports the global average cost of a data breach is up 6.4 percent over the previous year to $3.86 million. The average cost for each lost or stolen record containing sensitive and confidential information also increased by 4.8 percent year over year to $148. The Cost of Risk
  8. 8. July 2018 “Cost of a Data Breach Study: Impact of 22 factors on the per capita cost of data breach” - Ponemon Institute
  9. 9. Extending The Skills Of The Risk Professional Is The Next Big Challenge In Risk Management Ref: Skill Set Challenges in Risk Management- Forbes 1. Global Risk Management Study that risk managers worldwide have gained a respected voice of influence and a “seat at the table” with their boards and top management; 2. that they have made progress in the integration of the risk management function, not only with finance, but with their firms’ lines of business; 3. and that innovative technologies such as artificial intelligence (AI), robotic process automation (RPA), big data and analytics, machine learning and blockchain are increasingly becoming part of the solution set to both help cut costs and importantly manage vastly larger and more diverse data volumes. 4. The lack of needed skills, which has always been an issue in risk management, continues to be a challenge – but with a different twist. There are seasoned people with risk management expertise, as well as people in large scale financial institutions with technical savvy in areas ranging from data science to AI. 5. However, finding and/or developing people who combine those skills in one package is extremely difficult. Firms are trying to strike the right balance between risk experience and disciplines on the one hand, and a deep understanding of current digital, data and technology tools on the other. This is not easy.
  10. 10. Most Common Risk Management Disciplines IT Risk Management is the application of risk management methods to information technology in order to manage IT risk, i.e.: The business risk associated with the use, ownership, operation, involvement, influence and adoption of IT within an enterprise or organization. Business Continuity Management (BCM) is a framework for identifying an organization's risk of exposure to internal and external threats. ... BCM includes disaster recovery, business recovery, crisis management, incident management, emergency management and contingency planning. Vendor Risk Management (VRM) is a process that deals with the management and planning of third-party products and services. This ensures that the use of third-party products, IT suppliers and service providers does not result in a potential business disruption or in any negative impact on business performance. Event Log Management. The collection, storage, and reporting of log data from firewalls, routers, servers, applications, operating systems and devices in near real-time for compliance and risk mitigation. Legal Risk Management. By definition, the CCO is responsible for identifying, prioritizing, and mitigating sources of legal and regulatory risk through effective internal controls and business processes. ... Here again, CLOs may consider these functions and risk areas to be part of their scope of responsibilities. The term Operational Risk Management (ORM) is defined as a continual cyclic process which includes risk assessment, risk decision making, and implementation of risk controls, which results in acceptance, mitigation, or avoidance of risk. ORM is the oversight of operational risk, including the risk of loss resulting from inadequate or failed internal processes and systems; human factors; or external events. Unlike other type of risks (market risk, credit risk, etc.) operational risk had rarely been considered strategically significant by senior management
  11. 11. Market Drivers for Integrated Risk and Cyber Solutions The World Economic Forum (WEF) identifies technological risks, in the form of data fraud and cyber attacks, among the top 10 risks in terms of likelihood, while critical information infrastructure breakdown is among its top ten risks in terms of impact. These identified risks are not mutually exclusive. The primary driver for global enterprises in terms of risk management is to transition from a post- mortem remediation process to a proactive risk mitigation and management state, to reduce or mitigate brand exposure, clean-up costs and business disruption. Enterprises of all sizes realize that cooperation within its key business units is an essential starting point to mitigate cyber attacks or data breaches. These coordinated efforts must be platform driven, to provide a ‘single source of truth’ for preemptive and coordinated responses (in-the-moment) to enterprise-wide risks. Opportunities in Integrated Risk Management
  12. 12. • Smart technologies such as RPA (Robotic Process Automation) • Machine learning, big data and analytics and AI is leading to greater efficiency and productivity in the risk function. • Adopting these technologies can lower costs, and provide greater accuracy and control, increased agility, and improved risk analysis and insights. • At this stage, only a minority of respondents say they are highly proficient at incorporating these technologies into the risk management functions, and they are impeded by obstacles such as legacy technologies within the risk function (cited by 69% of respondents) and the increased velocity, variety and volume of data (named by 73%). Ref: Skill Set Challenges in Risk Management- Forbes The Digital Transformation Challenge?
  13. 13. Ref: Gartner - Risk Management Programs 1. Risks are derived from business goals and objectives 2. A risk framework guides a common approach across the enterprise 3. Risks are communicated in terms of their impact on the business 4. There is operational support for risk management and accountable ownership of risks 5. There is a business process approach to risk management technology (5) Characteristics of a Foundational Risk Management Program
  14. 14. 1. Risk managers must have an appetite for knowledge and should continually ask questions about all aspects of the company. 2. Risk managers should seize every opportunity to learn, but at the same time must be generalists due to the volume of their responsibilities. 3. Meeting and working with employees is an excellent way to learn. Risk managers should be willing to roll up their sleeves and hit the trenches. 4. Risk managers must be willing to learn about the challenges employees encounter to increase their understanding of what really makes a business work. 5. Risk managers benefit from direct experience. This is often more valuable than being taught. 6. A successful risk management career stems from understanding the value of colleagues and learning from their knowledge. Ref: Risk Manager Skill Set Development Developing Risk Management Skills
  15. 15. Thank You Jem Pagán, President BluSky Consulting

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