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Editor's Pick(1 - 4 of 8)
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Security in the Cloud Requires a New Way of Thinking

Dan Constantino, Director, Security Operations, Cox Automotive

Adapting to the Ever-changing Threat Landscape

Brian Hussey, Global Director of SpiderLabs Incident Response & Readiness, Trustwave

An Overview of Data Integration and Analytics

Ashok Dhiman, Director, Enterprise Customer Experience and Data Integration, The Hartford [NYSE: HIG]

Predictive Analytics in the Insurance Industry

Hongyuan Wang, PhD & MAS, Director of Predictive Analytics, Data and Analytics, Employers

Data And Analytics - Do Culture And Trust Translate Into Value?

Neil Currie, Head of Data Management, Crowe

Beyond Financial Risk: Managing Behaviours and Reputation

Suzette Thurman, Chief Risk Officer, First State Super

Risks and Rewards in a Digital World

Dominic Casserley, President and Deputy CEO, Willis Towers Watson

Reinventing Risk as Opportunity

Adrian Brown, Chief Risk Officer, Seibelsa

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The Importance of Risk Analytics in an Organization

By CIO Applications Europe| Thursday, February 25, 2021
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An organization that does not adopt big data analytics will likely lose its competitive edge as most competitors are leveraging big data to assess risks, improving customer satisfaction.

Fremont, CA: Big data is an important instrument in risk management, allowing the organization to manage, identify, and reduce risks that can hamper the operations. Implementing big data can enhance an organization’s risk management strategies, enabling them to embrace a predictive measure to expand threat identification accuracy.

top big data analytics solution companies


Big data analytics help detect enterprise risks that will likely affect the business. The advancement in this technology has increased the risk of cyber-attacks, which has made it crucial to come up with a strategy to identify the threats before they damage vital aspects of the business. The use of big data can help estimate the security future of the company. It offers a platform to evaluate all the cyber threats in real-time and recommend mitigation approaches.

The implementation of big data analysis can identify money laundering and other fraudulent activities. The vast amount of data obtained from various sources ensures close management of activities in multiple platforms. This expands the chances of finding plans to engage in fraud before it happens.

See Also: Top Risk Analytics Solution Companies

The right business intelligence tools can help identify cost-reducing opportunities. But data analytics can enable organizations to detect any abnormality in the margins, allowing the firms to make changes in price and reduce costs where it is needed. This is useful for large companies with various facilities where anomalies may be overlooked.

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