From siloed to integrated: adopting a future-ready risk management approach

From siloed to integrated: Adopting a future-ready risk management approach

The scale and scope of risks we face today are rapidly expanding and changing. 77 percent of risk leaders surveyed by Accenture reported that complex, interconnected new risks are emerging faster than ever.

Most recently, the Covid-19 pandemic has completely disrupted business operations worldwide, impacting supply chains, cyber security, worker safety, financial health and business continuity. What makes the situation more complex is that markets and organisations are far more interconnected than they’ve ever been. Therefore, the points of intersection among risks are also increasing. We can’t just look at risks in isolation anymore. We also have to recognise the interconnectedness between traditional risks (such as market risks) and emerging risks (such as a pandemic). Traditional risks are known risks where the unknown aspect is really the measure of the risk.

Therefore, at least in theory, these risks can be defined and mitigated. On the other hand, emerging risks, as well as how they intersect with traditional risks, are relatively unknown. Since they cannot be identified or defined, they also cannot be measured. These unknown-unknown risks – which expose organisations to uncertainties and losses they cannot even perceive, let alone prepare for – are commonly called black swan events.

Against this backdrop, the following pages of this e-book explore the current state of risk management programmes at organisations and the associated challenges. We also delve into how organisations can prepare for adopting an integrated approach to risk management and effectively manage the unknown unknowns.

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Big book of models: the ultimate guide to analytical models for smarter business decisions

The big book of models is a practical guide for professionals in risk management and quantitative analysis. It covers a range of analytical techniques, including Monte Carlo simulation and neural networks, providing insights into their applications across various industries. The book helps practitioners choose the right methodologies for effective decision-making.

Big book of models

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