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Four steps to build a more transparent and resilient supply chain through risk management

IBM Business Resiliency

Teams with mature supply chain risk management strategies adapted to disruption and continued to delight customers. Here are four ways to build a cohesive risk management strategy that you can use to proactively prevent and mitigate risks across the supply chain. No supply chain is without risk.

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Customer Value Story: Planning for the Unexpected

LogisManager

The pandemic has disrupted operating models of businesses across the globe. We have over 15 years of experience under our belt of helping customers avoid all sorts of risks and scandals. Having a BCP that’s built on risk management best practices sets your business up for success.

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Risk Assessment vs Risk Analysis

Reciprocity

Although people often use the words “assess” and “analyze” interchangeably, the terms are not synonymous in risk management. A risk assessment forms the backbone of your overall risk management plan. Risks are not always the fault of the business. What Is a Risk Assessment?

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What Does a Business Continuity Plan Typically Include? [Complete Guide]

LogisManager

If you’re not able to react quickly to these types of incidents, your company could suffer physical harm, monetary losses, reputational damage, data integrity loss, litigation and much more. And perhaps the most timely example of all, a pandemic (check out our complete guide to building a BCP for COVID-19 here ).

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Data Privacy Awareness Month 2024: Roundup of Expert Quotes

Solutions Review

via stricter governance policies), and employ new tooling and technologies to help offset growing privacy risk (e.g., data integration tools capable of masking/hashing sensitive data, or detecting/excluding personal identifiable information). At present, this is having varied results.

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Data Privacy Day 2024: The Definitive Roundup of Expert Quotes

Solutions Review

via stricter governance policies), and employ new tooling and technologies to help offset growing privacy risk (e.g., data integration tools capable of masking/hashing sensitive data, or detecting/excluding personal identifiable information). At present, this is having varied results.