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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 A Data Catalog Enhances Data Risk Management

Alation

Alation joined with Ortecha , a data management consultancy, to publish a white paper providing insights and guidance to stakeholders and decision-makers charged with implementing or modernising data risk management functions. The Increasing Focus On Data Risk Management. Download the complete white paper now.

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Insurance Dashboard Design: KPIs, Analytics & Examples

FineReport

Insurance companies provide risk management in the form of insurance contracts. Industry-specific, comprehensive, and reliable data management and presentation have become an issue of increasing concern in the insurance industry. The insurance dashboard is one of the most commonly used data display methods.

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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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How to build a successful risk mitigation strategy

IBM Big Data Hub

Step 2: Perform a risk assessment The next step is to quantify the level of risk for each risk identified during the first step. This is a key part of the risk mitigation plan since this step lays the groundwork for the entire plan. Risk transfer: Risk transfer involves passing the risk to a third party.

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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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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.