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PREDIK Data-Driven I Satellite Data I Index I Monitor US Companies I Outdoor large surfaces to analyze business & economic activity

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Datarade2024-04-19 收录
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https://datarade.ai/data-products/predik-data-driven-i-satellite-data-i-monitor-outdoor-surface-predik-data-driven
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About our monitoring index solution: We have developed a cost-effective methodology to create indices of economic activity in any open facility across the US. Our solution uses satellite imagery to monitor surface changes over time. Our advanced Machine Learning models detect and report relevant changes in the area of interest. Our methodology can help you analyze a significant number of locations without requiring manual supervision. It employs clustering image models and can detect changes within the same cluster over time. This feature lets you monitor as many locations as you need to make informed and strategic decisions. Main use cases: - Monitor business and economic activity of any target company worldwide. - Understand and predict seasonal patterns from your target companies. - Make better decisions faster and more precisely. - Identify inventory threats and illicit or abnormal behaviors in target locations. - Get alerts of significant changes in the monitored facilities for a fraction of the cost compared to other solutions. - Detect changes on structures and buildings (For example, you can easily detect if a manufacturing plant is expanding its infraestructure). Industries that are using our indices: - Investment funds - Construction & Real Estate - Transport & and Logistics - Agriculture Considerations: - This solution measures relative changes as a percentage index. For example, it can measure parking occupancy percentage but will not indicate the number of parked cars (Learn more: https://docs.predikdata.com/Parking_Occupancy_Sample.pdf) - Objects must be at least 3x3m to be visible and measured. Deliverables: Our index reports adapt to your specific requirements. We can provide a live database, Tableau reporting, or alert notifications.
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Predik Data-driven
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