Remove Insurance Remove Measurement Remove Risk Management Remove Strategy
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CIO risk-taking 101: Playing it safe isn’t safe

CIO Business Intelligence

When it comes to structural risks you can ignore them as well, but you can’t make them go away by doing so and will be blamed if they’re “realized” (the risk-management term for “becoming real”). Rationalizing the applications portfolio reduces the odds of these risks being realized.

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How to build a successful risk mitigation strategy

IBM Big Data Hub

The only way for effective risk reduction is for an organization to use a step-by-step risk mitigation strategy to sort and manage risk, ensuring the organization has a business continuity plan in place for unexpected events. Contingency plans should be in place if something drastic changes or risk events occur.

Risk 73
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Using Technology to Better Manage Risk in Insurance

Decision Management Solutions

In February, we published a blog post on “Using Technology to Add Value in Insurance”. In that post, I referenced Matt Josefowticz’s article – Technology May be the Answer for Insurers, but What Was the Question? , Insurers can also manage risk more effectively through continuous improvement.

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Will Data Privacy drive an Enterprise Data Strategy?

Cloudera

The protection and controls around data become increasingly complex when used in the context of banking and insurance activities. Personal and confidential information carries heightened sensitivity in the light of financial, health and insurance activities. Financial institutions and insurers understand the benefits of more data.

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Building for operational resilience in the age of AI and hybrid cloud

IBM Big Data Hub

Prioritizing operational resiliency In our view, the essence of operational resilience is an assumption that disruption is inevitable, and organizations must have measures in place to be able to absorb and adapt to any shocks. This includes cyber incidents, technology failures, natural disasters and more. Similarly, in the U.S.

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Climate change examples

IBM Big Data Hub

Meanwhile, insurance companies are increasingly declining to provide property insurance in areas vulnerable to extreme weather, leaving homeowners there at greater financial risk. Explore sustainability strategy Learn about climate and weather risk management The post Climate change examples appeared first on IBM Blog.

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. Apart from generating regulatory reports, these teams require visibility into the health of the reporting systems.