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ANALYTICS

A combination of data, analytics, and technology can allow you to take a holistic approach to risk which informs your business decisions and aligns with your corporate objectives.

Organisations worldwide are increasingly impacted by emerging, complex challenges that could materially affect future goals. In this rapidly-changing environment, business leaders need more than historical views to manage risk, allocate capital, and achieve results: They need to see around the next corner.

Marsh Global Analytics is uniquely positioned to help. Using an unmatched combination of data, analytics, and technology, we empower clients of all sizes and across industries to quantify and manage their risk financing.

By leveraging Marsh’s deep pool of claims, exposure, and placement data across industry, size, geography, and product, you can conduct holistic, forward-looking planning. This helps you dynamically explore risk financing options, and determine your optimal risk financing structures and risk mitigation investments.

We deliver advanced analytics through our ground-breaking, mobile Marsh Analytics Platform (MAP), which combines a forward look at risk with a customised financial view to analyse and measure both insurable and non-insurable risks.

As a result, you can confidently move forward with strategic business decisions and put capital to optimal use, unlocking opportunity and growing your business.

Marsh Analytics Platform (MAP)

With insights from the Marsh Analytics Platform (MAP), you have a holistic view of risk to move forward confidently with strategic plans in today’s modern risk environment. MAP facilitates a real-time, dynamic conversation about your risk financing options. Using MAP’s multi-step process, you can gain:

  • A forward look at risk, using Marsh’s deep pool of claims, exposure, and placement data – across industry, size, geography, and product – to gain a clear, informed view of future loss potential and volatility.
  • A customised view that combines industry-leading loss modelling with analyses of key income statement and balance sheet drivers, enabling you to assess risk tolerance and risk appetite with respect to your unique capital position.
  •  Informed decisions on optimal risk financing structures or risk mitigation investments, delivered via a transparent view into your economic cost of risk (ECOR).
iMAP

Marsh’s iMAP, the industry’s only mobile analytics platform, helps you navigate, in real-time, massive amounts of data related to exposure, claims, and placement information – all in a dynamic, customised, and easy-to-understand experience.

Marsh has used iMAP to help evaluate risk financing for thousands of clients – from large, multinational organisations to smaller, regional businesses in multiple industries, including aviation, chemicals, construction, energy, financial services, health care, manufacturing, professional services, real estate, retail, transportation, and others.

Global Loss Data Library (LDL)

By leveraging our unmatched claims database, we are uniquely positioned to answer the question, ‘What losses might we incur?’ The Marsh Global Loss Data Library represents more than US$300 billion in aggregate claims. Our database contains losses in dozens of countries around the world, and more than 20 industries, to provide you with a more complete picture of current and emerging trends in risk.

Economic Cost of Risk (ECOR)

The traditional measure of risk exposure, total cost of risk (TCOR) does not typically account for fluctuations in loss from year to year as it typically only calculates premium and retained claims costs. In the modern risk environment, senior leaders need to understand and account for this volatility. Our ECOR measure looks at volatility through an implied risk charge (IRC), which is added to the traditional TCOR equation. IRC calculates the cost of volatility that is unique to each company through a combination of risk volatility and cost of capital. Our ECOR analytical framework integrates risk management decision making and financial planning.