Remove Internet of Things Remove Metrics Remove Optimization Remove Risk Management
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Data Scalability Raises Considerable Risk Management Concerns

Smart Data Collective

The Relationship between Big Data and Risk Management. Big data calls for complex processing, handling, and storage system, which may include elements such as human beings, computers, and the internet. Tips for Improving Risk Management When Handling Big Data. Risk Management Applications for Analyzing Big Data.

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The journey to a mature asset management system

IBM Big Data Hub

Mobile-connected technicians experience improved safety through measures such as access control, gas detection, warning messages or fall recognition, which reduces risk exposure and enhances operational risk management (ORM) during work execution. Risk-based asset strategies align maintenance efforts to balance costs and risks.

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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

Effective SCM initiatives offer several benefits: Lower operational costs : By optimizing inventory levels , improving warehousing efficiency and streamlining order fulfillment processes, companies can save on storage, labor and transportation expenses.

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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

EAM systems can include functions like maintenance management, asset lifecycle management , inventory management and work order management, among others. Access to asset/system simulations can enable more proactive maintenance planning, improved decision-making and better risk management.

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

Life insurance needs accurate data on consumer health, age and other metrics of risk. And more recently, we have also seen innovation with IOT (Internet Of Things). And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty.

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