Understand the environment in real

time. Turn spatiotemporal data into smart insights, in record time.

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The impact of climate change and humans on the environment are some of the greatest challenges we face.

The impact of climate change and humans on the environment are some of the greatest challenges we face.

Timely and comprehensive, layered data is crucial for accurate analysis, reliable forecasting and future planning but as data from weather, oceanographic, GIS (geographic information systems) and conservation systems grow and accumulate over time, it can be complex and costly. Reporting can take hours or days, or be completely impractical.


Now there’s a solution that unlocks the full potential of environmental and conservation data scientists to extract timely insights and improve decision making.

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Understand the Environmental landscape in real time

How does it work?

Designed from the ground up for large-scale spatiotemporal workloads, the solution ingests and indexes huge volumes of data from multiple sources at millions of rows per second making it possible to run complex queries instantly and gather insights in real time.


It helps data scientists to establish relationships between separate data models from disparate sources or systems such as the impact that development has on conservation and weather patterns has on tourism.

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Run your own route analysis queries against our synthetic data set of 1.6 million vehicles and 92.4 billion data points to check out the speed and scale of the solution.

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Environmental Impact Use Cases

Understand start, end, routes, dwells and productivity

Spot trends and anomalies for improved efficiency

Reduce late deliveries, mis-deliveries and fraudulent delivery claims

Supply chain analytics

Aircraft analysis such as engine performance, emissions or fuel efficiency

Airspace management

Route monitoring, rescheduling and future planning

Proactive product management, predictive maintenance and safety

Weather monitoring and alerts

Baggage handling

Passenger experience and loyalty

Regulatory Compliance

File management

Proactive product management, predictive maintenance and safety

Supply chain analytics

Engine analysis such as temperature or emissions

Driver behavior trends such as speed or braking distance

Road traffic congestion and accident reduction

Roadside assistance

Journey planning and roadworks monitoring

Weather monitoring and alerts

Highways planning

Network optimization

Customer segmentation

Regulatory compliance

Supply chain analytics

Fraud detection

Churn prediction

Billing analytics

Prevent fraudulent delivery claims

Improve customer communications

Balancing supply and demand

Reduce unnecessary dwells and detours

Understand context with behaviour over time

Automate anomaly detection and decision-making in real time

Improve courier safety and well-being

Weather and air quality monitoring, forecasting and alerts

Smart hydro and energy management systems

Disaster management

Remote sensing

Location intelligence applications in different types of industries

Security and surveillance

Delivery optimization

Footfall monitoring

Consumer patterns of life

Co-visitation and competitor analysis

Predictive analysis of weather, events and traffic

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