Environmental Scanning: A Strategic Compass for Risk Professionals
Environmental scanning is a systematic process of monitoring internal and external environments to identify risks and opportunities. It enables organisations to anticipate changes, make informed decisions, and develop proactive strategies. By leveraging tools like SWOT and PESTEL analysis, risk professionals can enhance organisational agility, resilience, and competitiveness in dynamic business landscapes.
Spot Risks Early by Aligning Enterprise Risk Management Components
Proactively spotting risks requires aligning early warning systems (EWS), key risk indicators (KRIs), risk appetite, and risk tolerance. This integration enables organisations to monitor threats, act swiftly, and stay within strategic boundaries. Benefits include proactive risk management, cost savings, enhanced decision-making, stakeholder confidence, and adaptability to emerging risks, ensuring resilience and growth.
Resilience in a Fractured World: The Fundamentals of Geopolitical Resilience for Risk Professionals
Geopolitical resilience enables organisations to anticipate, adapt to, and recover from disruptions like conflicts, sanctions, or supply chain shocks. Key strategies include proactive risk assessment, scenario planning, diversification, and collaborative efforts. By integrating issues-led and impact-led approaches, leveraging technology, and fostering agility, businesses transform risks into opportunities, ensuring long-term competitiveness in a volatile world.
Development of Narrative Intelligence within Risk Management Teams
Training narrative intelligence within risk management teams involves educating them on narrative concepts, leveraging AI tools, fostering cross-departmental collaboration, and developing storytelling skills. Practical steps include workshops, technology investment, and continuous learning. Overcoming challenges like resistance to change and data complexity ensures teams proactively manage risks and craft impactful counter-narratives.
Narrative Intelligence for Risk Professionals – Moving closer to True Risk
Narrative intelligence empowers risk professionals to identify, analyse, and respond to emerging narratives that influence organisational reputation and risk exposure. By leveraging AI, sentiment analysis, and stakeholder mapping, it enhances decision-making, mitigates reputational risks, and builds resilience. Proactively integrating narrative intelligence into risk frameworks is essential for navigating today’s complex, interconnected world.
Navigating the Risk Revolution: Trailblazers Shaping 2025’s Uncharted Terrain
The risk management landscape of 2025 is shaped by AI-driven insights, climate risk integration, and collaborative approaches to tackle complex challenges. Key players, including AI specialists, cybersecurity experts, and ESG analysts, are transforming risks into opportunities. Organisations embracing innovation and resilience will thrive in this dynamic, interconnected world of emerging risks.
Navigating Complexity: The Role of Risk Maturity Models in Modern Business
In an era marked by unprecedented uncertainty and interconnected risks, organisations are increasingly turning to risk maturity models as a strategic tool to bolster their resilience and competitiveness. Effective risk management is crucial for survival and success, and this is where risk maturity models come into play.
Data Governance and Data Policies at the European Commission
Data governance sets out a framework with clear roles, and the responsibilities and interdependencies of those roles.
Data policies introduce common principles, guidance and working practices in the areas of data management, data interoperability
and standards, and data quality. Equally important are the areas of data protection, information security and intellectual property. However, these are not the focus of this document. Corporate data policies do not specify detailed processes. This allows Directorates-General (DGs)/services to organise themselves in the way that best suits their internal organisation,
while ensuring coordination and alignment across the Commission, including its executive agencies.
Data Governance: A conceptual Framework, Structured Review, and Research Agenda
Data governance refers to the exercise of authority and control over the management of data. The purpose of data governance is to increase the value of data and minimize data-related cost and risk. Despite data governance gaining in importance in recent years, a holistic view on data governance, which could guide both practitioners and researchers, is missing. In this review paper, we aim to close this gap and develop a conceptual framework for data governance, synthesize the literature, and provide a research agenda.
Data Governance – Providing Assurance regarding Data Risk Management
While the concept of risk related to data ethics is relatively new, Chief Audit Executives (CAEs) predict that its relevance will grow rapidly over the next five years. Complexity in the collection, analysis, and use of data is expanding rapidly, complicated by artificial intelligence.