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Unlock the Power of On-Demand Location Intelligence

Geospatial Data Visualizations

OWL’s geospatial data visualization provides a location-based perspective, revealing patterns and relationships for deeper insights. By integrating various geospatial views, such as street and satellite, users can explore data in a realistic context, enhancing their ability to make informed decisions.
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Discover the World Through Geospatial Views

OWL’s geospatial views offer an innovative way to visualize and interact with your data by placing it in a realistic geographic context. These views provide a deeper understanding of spatial relationships, allowing you to explore data in a more immersive and meaningful way. From detailed street-level perspectives to expansive satellite imagery, OWL’s geospatial features enable you to analyze data in the context of its physical environment. Whether you’re planning urban developments, managing environmental resources, or conducting in-depth market analysis, these tools provide the insights needed to make informed, strategic decisions.

Map and Satellite Geospatial Views

Experience the world in a new dimension with OWL’s Map and Satellite Geospatial Views. These tools offer a realistic and contextual representation of geographic data, allowing you to zoom in and out of specific locations. This perspective is invaluable in fields like urban planning, environmental management, and disaster response, where understanding the physical environment is crucial.

Street View: Virtual Exploration

Explore locations from the street level with OWL’s Street View, a powerful tool that stitches together panoramic images for an immersive experience. This feature is ideal for real estate, tourism, and urban planning, providing a detailed understanding of a location’s physical environment.

Heat View: Visualizing Data Intensity

OWL’s Heat View uses color-coding to represent data intensity, making it easy to identify hotspots and trends in large datasets. This visualization is crucial for quick data analysis, revealing patterns that might be missed in traditional views.

Histogram View: Understanding Data Distribution

The Histogram View helps analysts quickly identify data distribution characteristics, such as skewness, symmetry, or the presence of multiple peaks. This view is also instrumental in detecting data errors like missing values and outliers, ensuring the reliability of data analysis.

Harness Spatial Data for Enhanced Analysis

Maximize Insights with Geospatial Views

OWL’s geospatial views offer a comprehensive platform for understanding data in a geographical context, unlocking deeper insights and enabling strategic decision-making. These views enhance data analysis by providing actionable location intelligence, revealing connections, concentrations, and trends.

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Identifying Concentrations

Determine where activities or events are most concentrated, helping to focus efforts and resources on key areas.
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Discovering Connections

Uncover how various data points are interlinked within a geographical context, providing a clearer understanding of relationships and dependencies.
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Timeline Analysis

Trace the timing and sequence of events to understand historical trends and anticipate future occurrences, providing a strategic advantage.
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Proximity Insights

Explore significant data points or events near key locations, aiding in situational awareness and planning

Compliance & Security: Built for Mission Critical Workloads

OWL’s platform was built with security and compliance from day one. Our end-to-end security controls ensure data is protected from external intrusions and accessed only by authorized personnel, meeting the rigorous standards of highly regulated industries. With compliance frameworks like CJIS and NIST, OWL guarantees your data's safety and integrity.

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Data Access & Compliance Settings

Customers have full control over data access, classification, retention policies, and compliance settings with our self-service security features.

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Data Classification

Access Rights

Retention Policies

Juvenile Compliance

28 CFR Part 23

Legal Hold