p1754rdilrnfh1uo81eh81hlf1l3tc.jpg
Determine whether to take the risk or not
Yukchong Kwan/Getty Images/Hemera

1. ORSA

The National Association of Insurance Commissioner's Own Risk and Solvency Assessment (ORSA), inspired by Europe’s Solvency II, is placing greater emphasis on data and process governance, risk transparency and compliance, driving the need for data quality and consolidation that enhanced analytics can leverage.
p1754rdilp1gd1st5k8m1d5u1rsr5.jpg

2. Actuarial Speed and Efficiency

In order to improve risk management, actuaries are requiring more efficient modeling and analyses to enable robust, grid-enabled and scalable technology environments.
p1754rdilr1eva146f69p16hq1la5b.jpg
Black nerd Glasses
Feng Yu/Getty Images/iStockphoto

3. Enhanced Risk Visibility

The move toward cross-territory supervision of insurance groups calls for a holistic approach to risk management across subsidiaries and holding companies, and for platforms that can support risk visibility across states, territories and provinces, and lines of business.
p1754svq8psvkic11krr1s8n6745.jpg

4. Consolidation of Information

U.S. carriers are looking to centralize information from disparate and traditionally separate valuation and projection modeling systems to achieve consistent views of risk.
p1754rdilq6j6dgr4601ahj1qer7.jpg
Modern Architecture
bogdan batlai/Getty Images/iStockphoto

5. Enterprisewide Views

Ratings agencies are developing enterprise risk management (ERM) assessments and embedding them into their evaluation process, which is placing more pressure on publicly traded insurance carriers to embed risk management intelligence throughout the organization.
p1754rdilrd9q1ks918rv4tp1d28e.jpg
Watch on hand
Dmitriy Shironosov/Getty Images/Hemera

6. Real-time Processes

Increasing regulatory requirements and high market volatility are driving insurers to generate real-time investment and accounting information.
p1754rdilq1tt91mto1t781tl87h08.jpg
Businesswoman analyzing
Slawomir Fajer/Getty Images/iStockphoto

7. Big Data

Insurers are using business intelligence to leverage “big data” to help them estimate claims, assets, credit and market data, and gain deeper insights across networks of producers, policy holders and operations.
p1754rdilr6t71ato11sj1dq2lj9d.jpg
Stock market graphs.
Andrey Malinkin/Getty Images/Hemera

8. Seeking Improved Business Results

Analytic and predictive modeling techniques are creating opportunities for increased sales, as well as improved efficiency and expanded service capabilities.
p1754rdilq6uaf751c6ol5u1mje6.jpg

9. Talent Searches

Growing demand for highly specialized actuaries, increasingly at the heart of initiatives to improve risk management, is creating more competition among insurers vying for the best and brightest talent.
p1754rdilqd7971ebdfngg3d69.jpg
Cloud computing
Jakub Jirsák/Getty Images/iStockphoto

10. Leveraging Cloud Agility

Volatility and the need for more frequent risk reporting require carriers to consider a pay-as-you-go business model in the cloud in order to scale up computing power rapidly and cost effectively.